Search

The data paper is an emerging academic genre that focuses on the description of research data objects. However, there is a lack of empirical knowledge about this rising genre in quantitative science studies, particularly from the perspective of its linguistic features. To fill this gap, this research aims to offer a first quantitative examination of which rhetorical moves—rhetorical units performing a coherent narrative function—are used in data paper abstracts, as well as how these moves are used. To this end, we developed a new classification scheme for rhetorical moves in data paper abstracts by expanding a well‐received system that focuses on English‐language research article abstracts. We used this expanded scheme to classify and analyze rhetorical moves used in two flagship data journals, Scientific Data and Data in Brief. We found that data papers exhibit a combination of introduction, method, results, and discussion‐ and data‐oriented moves and that the usage differences between the journals can be largely explained by journal policies concerning abstract and paper structure. This research offers a novel examination of how the data paper, a data‐oriented knowledge representation, is composed, which greatly contributes to a deeper understanding of research data and its publication in the scholarly communication system. [ABSTRACT FROM AUTHOR]

This paper aims to show that properties of cognitive/conceptual representations and formal-logical structures of linguistic meaning can be inter-translated, recast, transformed into one another, and so united together, even though cognitive/conceptual representations and formal-logical structures of linguistic meaning are apparently distinct in ontology and divergent in their form or character. While cognitive/conceptual representations are ultimately rooted in sensory-motor systems, formal-logical structures of linguistic meaning are abstractions detached from and independent of the actualized world. This paper sketches out the foundations of how representations of linguistic meaning in terms of cognitive/conceptual structures in Cognitive/Conceptual Semantics can be unified with those in terms of formal-logical structures in Formal Semantics. This is done by recasting cognitive/conceptual representations in terms of formal-logical structures of linguistic meaning and re-encoding formal-logical structures of linguistic meaning in terms of cognitive/conceptual representations. Then, these two types of semantic representations, thus shown representationally equivalent, will be related to a series of derivations across levels in neuronal networks and dynamics. The general discussion on unifying cognitive/conceptual representations of linguistic meaning with formal-logical structures is contextualized within the broader context of theorizing in cognitive science., (© 2024 Cognitive Science Society LLC.)

Distinctive aspects of a culture are often reflected in the meaning and usage of words in the language spoken by bearers of that culture. Keywords such as душа (soul) in Russian, hati (heart) in Indonesian and Malay, and gezellig (convivial/cosy/fun) in Dutch are held to be especially culturally revealing, and scholars have identified a number of such keywords using careful linguistic analyses (Peeters, 2020b; Wierzbicka, 1990). Because keywords are expected to have different statistical properties than related words in other languages, we argue that a quantitative comparison of word usage across languages can help to identify cultural keywords. To support this claim, we describe a computational method that compares word frequencies across languages, and apply it to both linguistic corpora and word association data. The method identifies culturally specific words that range from "obvious" examples, such as Amsterdam in Dutch, to non-obvious yet independently proposed examples, such as hati (heart) in Indonesian. We show in addition that linguistic corpora and word association data provide converging evidence about culturally specific words. Our results therefore show how computational analyses and behavioral experiments can supplement the methods previously used by linguists to identify culturally salient words across languages., (© 2024 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

A central concern of the cognitive science of language since its origins has been the concept of the linguistic system. Recent approaches to the system concept in language point to the exceedingly complex relations that hold between many kinds of interdependent systems, but it can be difficult to know how to proceed when "everything is connected." This paper offers a framework for tackling that challenge by identifying *scale* as a conceptual mooring for the interdisciplinary study of language systems. The paper begins by defining the scale concept-simply, the possibility for a measure to be larger or smaller in different instances of a system, such as a phonemic inventory, a word's frequency value in a corpus, or a speaker population. We review sites of scale difference in and across linguistic subsystems, drawing on findings from linguistic typology, grammatical description, morphosyntactic theory, psycholinguistics, computational corpus work, and social network demography. We consider possible explanations for scaling differences and constraints in language. We then turn to the question of *dependencies between* sites of scale difference in language, reviewing four sample domains of scale dependency: in phonological systems, across levels of grammatical structure (Menzerath's Law), in corpora (Zipf's Law and related issues), and in speaker population size. Finally, we consider the implications of the review, including the utility of a scale framework for generating new questions and inspiring methodological innovations and interdisciplinary collaborations in cognitive-scientific research on language., (© 2023 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Language research has come to rely heavily on large-scale, web-based datasets. These datasets can present significant methodological challenges, requiring researchers to make a number of decisions about how they are collected, represented, and analyzed. These decisions often concern long-standing challenges in corpus-based language research, including determining what counts as a word, deciding which words should be analyzed, and matching sets of words across languages. We illustrate these challenges by revisiting "Word lengths are optimized for efficient communication" (Piantadosi, Tily, & Gibson, 2011), which found that word lengths in 11 languages are more strongly correlated with their average predictability (or average information content) than their frequency. Using what we argue to be best practices for large-scale corpus analyses, we find significantly attenuated support for this result and demonstrate that a stronger relationship obtains between word frequency and length for a majority of the languages in the sample. We consider the implications of the results for language research more broadly and provide several recommendations to researchers regarding best practices., (© 2021 Cognitive Science Society LLC.)

In conversation, individuals work together to achieve communicative goals, complementing and aligning language and body with each other. An important emerging question is whether interlocutors entrain with one another equally across linguistic levels (e.g., lexical, syntactic, and semantic) and modalities (i.e., speech and gesture), or whether there are complementary patterns of behaviors, with some levels or modalities diverging and others converging in coordinated fashions. This study assesses how kinematic and linguistic entrainment interact with one another across levels of measurement, and according to communicative context. We analyzed data from two matched corpora of dyadic interaction between-respectively-Danish and Norwegian native speakers engaged in affiliative conversations and task-oriented conversations. We assessed linguistic entrainment at the lexical, syntactic, and semantic level, and kinetic alignment of the head and hands using video-based motion tracking and dynamic time warping. We tested whether-across the two languages-linguistic alignment correlates with kinetic alignment, and whether these kinetic-linguistic associations are modulated either by the type of conversation or by the language spoken. We found that kinetic entrainment was positively associated with low-level linguistic (i.e., lexical) entrainment, while negatively associated with high-level linguistic (i.e., semantic) entrainment, in a cross-linguistically robust way. Our findings suggest that conversation makes use of a dynamic coordination of similarity and complementarity both between individuals as well as between different communicative modalities, and provides evidence for a multimodal, interpersonal synergy account of interaction., (© 2023 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

Neural network models have recently made striking progress in natural language processing, but they are typically trained on orders of magnitude more language input than children receive. What can these neural networks, which are primarily distributional learners, learn from a naturalistic subset of a single child's experience? We examine this question using a recent longitudinal dataset collected from a single child, consisting of egocentric visual data paired with text transcripts. We train both language-only and vision-and-language neural networks and analyze the linguistic knowledge they acquire. In parallel with findings from Jeffrey Elman's seminal work, the neural networks form emergent clusters of words corresponding to syntactic (nouns, transitive and intransitive verbs) and semantic categories (e.g., animals and clothing), based solely on one child's linguistic input. The networks also acquire sensitivity to acceptability contrasts from linguistic phenomena, such as determiner-noun agreement and argument structure. We find that incorporating visual information produces an incremental gain in predicting words in context, especially for syntactic categories that are comparatively more easily grounded, such as nouns and verbs, but the underlying linguistic representations are not fundamentally altered. Our findings demonstrate which kinds of linguistic knowledge are learnable from a snapshot of a single child's real developmental experience., (© 2023 Cognitive Science Society LLC.)

Are there individual tendencies in convergence, such that some speakers consistently converge more than others? Similarly, are there natural "leaders," speakers with whom others converge more? Are such tendencies consistent across different linguistic characteristics? We use the Switchboard Corpus to perform a large-scale convergence study of speakers in multiple conversations with different interlocutors, across six linguistic characteristics. Because each speaker participated in several conversations, it is possible to look for individual differences in speakers' likelihood of converging and interlocutors' likelihood of eliciting convergence. We only find evidence for individual differences by interlocutor, not by speaker: There are natural leaders of convergence, who elicit more convergence than others across characteristics and across conversations. The lack of similar evidence for speakers who converge more than others suggests that social factors have a stronger effect in mediating convergence than putative individual tendencies in producing convergence, or that such tendencies are characteristic-specific., (© 2020 Cognitive Science Society, Inc.)

Individuals shift their language to converge with interlocutors. Recent work has suggested that convergence can target not only observed but also expected linguistic behavior, cued by social information. However, it remains uncertain how expectations and observed behavior interact, particularly when they contradict each other. We investigated this using a cooperative map task experiment, in which pairs of participants communicated online by typing messages to each other in a miniature "alien" language that exhibited variation between alien species. The overall task comprised three phases, in each of which participants were told that they would be paired with a different partner. One member of the pair was given explicit linguistic expectations in each phase, while the software controlled whether or not observed behavior from their partner would be consistent or inconsistent with these expectations. The other participant was given no such expectations, allowing us to control for the role of expectation. Participants converged to both observed and expected linguistic behavior, and convergence was boosted when observation and expectation were aligned. When expected and observed behavior were misaligned, participants updated their expectations, though convergence levels did not drop. Furthermore, participants generalized what they learned about one partner to apparent novel partners of the same alien species. We also discuss individual variation in convergence patterns and the lack of a relationship between linguistic convergence and success at the map task. Findings are consistent with observations outside the laboratory that language users converge toward expected linguistic behavior. They also have broader implications for understanding linguistic accommodation and the influence of social information on linguistic processing and production., (© 2020 Cognitive Science Society, Inc.)

Drawing on data from two restaurants in Sydney and Tokyo, this paper describes the ways in which linguistic resources, everyday tasks and social space are intertwined in terms of metrolingual multitasking. Rather than the demolinguistic enumeration of mappable multilingualism or the language-to-language or language-to-person focus of translingualism, metrolingualism focuses on everyday language practices and their relations to urban space. In order to capture the dynamism of the urban linguistic landscape, this paper explores this relationship between metrolingual multitasking - the ways in which linguistic resources, activities and urban space are bound together - and spatial repertoires - the linguistic resources available in a particular place - arguing that a focus on resources, repertoires, space, place and activity helps us understand how multilingualism from below operates in complex urban places. [ABSTRACT FROM AUTHOR]

It is widely held that there are important differences between indicative conditionals (e.g., "If the authors are linguists, they have written a linguistics paper") and subjunctive conditionals (e.g., "If the authors had been linguists, they would have written a linguistics paper"). A central difference is that indicatives and subjunctives convey different stances toward the truth of their antecedents. Indicatives (often) convey neutrality: for example, about whether the authors in question are linguists. Subjunctives (often) convey the falsity of the antecedent: for example, that the authors in question are not linguists. This paper tests prominent accounts of how these different stances are conveyed: whether by presupposition or conversational implicature. Experiment 1 tests the presupposition account by investigating whether the stances project-remain constant-when embedded under operators like negations, possibility modals, and interrogatives, a key characteristic of presuppositions. Experiment 2 tests the conversational-implicature account by investigating whether the stances can be cancelled without producing a contradiction, a key characteristic of implicatures. The results provide evidence that both stances-neutrality about the antecedent in indicatives and the falsity of the antecedent in subjunctives-are conveyed by conversational implicatures., (© 2021 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).)

When asked to identify objects having unique shapes and colors among other objects, English speakers often produce redundant color modifiers ("the red circle") while Spanish speakers produce them less often ("el circulo (rojo)"). This cross-linguistic difference has been attributed to a difference in word order between the two languages, under the incremental efficiency hypothesis (Rubio-Fernández, Mollica, & Jara-Ettinger, 2020). However, previous studies leave open the possibility that broad language differences between English and Spanish may explain this cross-linguistic difference such that English speakers may generally produce more modifiers than Spanish speakers, including redundant ones, irrespective of word order. Here, we test the incremental efficiency hypothesis in a language production task crossing language (English, Spanish) with modifier type (color, number). Critically, number words occur on the same side of the noun in both English and Spanish. If broad language differences are responsible for the higher rate of color word production in English compared to Spanish, then the same effect should hold for number words. In contrast, the incremental efficiency hypothesis predicts an interaction between language and modifier type, due to different ordering for color words but identical ordering for number words. Our pre-registered analyses offer strong support for the incremental efficiency hypothesis, demonstrating how seemingly small differences in language can cause us to describe the world in surprisingly different ways., (© 2021 Cognitive Science Society, Inc.)

Computational models of memory presented in this issue reflect varied empirical data and levels of representation. From mathematical models to neural and cognitive architectures, all aim to converge on a unified theory of the mind. [ABSTRACT FROM AUTHOR]

The present study investigated whether morphological processing in reading is influenced by the orthographic consistency of a language or its morphological complexity. Developing readers in Grade 3 and skilled adult readers participated in a reading aloud task in four alphabetic orthographies (English, French, German, Italian), which differ in terms of both orthographic consistency and morphological complexity. English is the least consistent, in terms of its spelling-to-sound relationships, as well as the most morphologically sparse, compared to the other three. Two opposing hypotheses were formulated. If orthographic consistency modulated the use of morphology in reading, readers of English should show more robust morphological processing than readers of the other three languages, because morphological units increase the reliability of spelling-to-sound mappings in the English language. In contrast, if the use of morphology in reading depended on the morphological complexity of a language, readers of French, German, and Italian should process morphological units in printed letter strings more efficiently than readers of English. Both developing and skilled readers of English showed greater morphological processing than readers of the other three languages. These results support the idea that the orthographic consistency of a language, rather than its morphological complexity, influences the extent to which morphology is used during reading. We explain our findings within the remit of extant theories of reading acquisition and outline their theoretical and educational implications., (© 2020 The Authors. Developmental Science published by John Wiley & Sons Ltd.)

How do speakers learn the social meaning of different linguistic variants, and what factors influence how likely a particular social-linguistic association is to be learned? It has been argued that the social meaning of more salient variants should be learned faster, and that learners' pre-existing experience of a variant will influence its salience. In this paper, we report two artificial-language-learning experiments investigating this. Each experiment involved two language-learning stages followed by a test. The first stage introduced the artificial language and trained participants in it, while the second stage added a simple social context using images of cartoon aliens. The first learning stage was intended to establish participants' experience with the artificial language in general and with the distribution of linguistic variants in particular. The second stage, in which linguistic stimuli were accompanied by images of particular aliens, was intended to simulate the acquisition of linguistic variants in a social context. In our first experiment, we manipulated whether a particular linguistic variant, associated with one species of alien in the second learning phase, had been encountered in the first learning phase. In the second experiment, we manipulated whether the variant had been encountered in the same grammatical context. In both cases we predicted that the unexpectedness of a new variant or a new grammatical context for an old variant would increase the variant's salience and facilitate the learning of its social meaning. This is what we found, although in the second experiment, the effect was driven by better learners. Our results suggest that unexpectedness increases the salience of variants and makes their social distribution easier to learn, deepening our understanding of the role of individual language experience in the acquisition of sociolinguistic meaning., (© 2020 Cognitive Science Society, Inc.)

The fact that early lexical and grammatical acquisition are strongly correlated has been cited as evidence against the view that the language faculty is composed of dissociable and autonomous modules ( ). However, previous studies have not yet eliminated the possibility that lexical–grammar associations may be attributable to language-general individual differences (e.g. children who are good at learning words are good at learning grammar). Parent report assessments of toddlers who are simultaneously learning English and Spanish (n  = 113) allow an examination of the specificity of lexical–grammar relationships while holding child factors constant. Within-language vocabulary–grammar associations were stronger than cross-language relationships, even after controlling for age, proportion of language exposure, general language skill and reporter bias. Similar patterns were found based on naturalistic language samples (n  = 22), ruling out a methodological artifact. These results are consistent with the view that grammar learning is specifically tied to lexical progress in a given language and provide further support for strong lexical–grammatical continuity early in acquisition. [ABSTRACT FROM AUTHOR]

It is important to help researchers find valuable papers from a large literature collection. To this end, many graph-based ranking algorithms have been proposed. However, most of these algorithms suffer from the problem of ranking bias. Ranking bias hurts the usefulness of a ranking algorithm because it returns a ranking list with an undesirable time distribution. This paper is a focused study on how to alleviate ranking bias by leveraging the heterogeneous network structure of the literature collection. We propose a new graph-based ranking algorithm, Mutual Rank, that integrates mutual reinforcement relationships among networks of papers, researchers, and venues to achieve a more synthetic, accurate, and less-biased ranking than previous methods. Mutual Rank provides a unified model that involves both intra- and inter-network information for ranking papers, researchers, and venues simultaneously. We use the ACL Anthology Network as the benchmark data set and construct the gold standard from computer linguistics course websites of well-known universities and two well-known textbooks. The experimental results show that Mutual Rank greatly outperforms the state-of-the-art competitors, including Page Rank, HITS, Co Rank, Future Rank, and P- Rank, in ranking papers in both improving ranking effectiveness and alleviating ranking bias. Rankings of researchers and venues by Mutual Rank are also quite reasonable. [ABSTRACT FROM AUTHOR]

Main path analysis is a popular method for extracting the scientific backbone from the citation network of a research domain. Existing approaches ignored the semantic relationships between the citing and cited publications, resulting in several adverse issues, in terms of coherence of main paths and coverage of significant studies. This paper advocated the semantic main path network analysis approach to alleviate these issues based on citation function analysis. A wide variety of SciBERT‐based deep learning models were designed for identifying citation functions. Semantic citation networks were built by either including important citations, for example, extension, motivation, usage and similarity, or excluding incidental citations like background and future work. Semantic main path network was built by merging the top‐K main paths extracted from various time slices of semantic citation network. In addition, a three‐way framework was proposed for the quantitative evaluation of main path analysis results. Both qualitative and quantitative analysis on three research areas of computational linguistics demonstrated that, compared to semantics‐agnostic counterparts, different types of semantic main path networks provide complementary views of scientific knowledge flows. Combining them together, we obtained a more precise and comprehensive picture of domain evolution and uncover more coherent development pathways between scientific ideas. [ABSTRACT FROM AUTHOR]

In order to develop effective strategies of science communication and public outreach in linguistics, one needs to choose what topics to prioritise in such efforts. We carried out a global online survey study among experts in linguistics (n = 538) asking what they perceive as the most important facts about language that the general public should be aware of. We used two distinct methods to collect the respondents' opinions: open‐ended text responses and rating questions. In this paper, we compare the findings from the two tasks and we discuss the differences between them. Thus, the paper constitutes a methodologically‐laden commentary on the nature of linguists' opinions on what everyone should know about language. We argue that both open‐ended responses and rating questions provide valuable information about linguists' views, but from different perspectives. In particular, we see a need to distinguish between what issues are the most salient to linguists, and what issues are perceived as the most important. The aim of our study is to provide a starting point for a rich and methodologically diverse line of research—and, consequently, for an empirically‐based debate—on the public relevance of language‐related knowledge and the role of linguists as science communicators in disseminating that knowledge. [ABSTRACT FROM AUTHOR]

This paper examines the controversy that followed the 1987 publication of Joseph Greenberg's book, Language in the Americas, attending to the role of language and linguistic research within overlapping disciplinary traditions. With this text, Greenberg presented a macro‐level tripartite classification that opposed then dominant fine‐grained analyses recognizing anywhere from 150 to 200 distinct language families. His proposal was the subject of a landmark conference, examining strengths and weaknesses, the unpublished proceedings of which are presented here for the first time. For specialists in the anthropological and comparative‐historical study of Indigenous American languages, Greenberg's intervention highlighted the tension between language, conceived as an abstract object of study, and languages, understood to be carriers of specific cultural knowledge. For physical anthropologists and archaeologists, his theory was initially fortuitous on programmatic, substantive, and methodological grounds. The essay will show how interdisciplinary appeals were figured by supporters as a virtue, and by critics as a vice. The essay further highlights ethical reasons for integrating historical narratives of science and the humanities. [ABSTRACT FROM AUTHOR]

Linguistics is traditionally a university subject. We describe here comprehensive efforts that the University of Arizona's Linguistics Department makes to engage with additional audiences: K-12 and community college students, lifelong learners, and festival-goers. Our coordination of these efforts is relatively recent, and this article emphasizes what we are learning in areas like adjustment to different audiences and efficient use of resources. While many individual linguists and some departments are engaged in outreach activities such as those described here, our work is unusual in its breadth, in terms of both external contacts and department-internal participants. [ABSTRACT FROM AUTHOR]

Introduction: While authorship plays a powerful role in the academy, research indicates many authors engage in questionable practices like honorary authorship. This suggests that authorship may be a contested space where individuals must exercise agency—a dynamic and emergent process, embedded in context—to negotiate potentially conflicting norms among published criteria, disciplines and informal practices. This study explores how authors narrate their own and others' agency in making authorship decisions. Method: We conducted a mixed‐methods analysis of 24 first authors' accounts of authorship decisions on a recent multi‐author paper. Authors included 14 females and 10 males in health professions education (HPE) from U.S. and Canadian institutions (10 assistant, 6 associate and 8 full professors). Analysis took place in three phases: (1) linguistic analysis of grammatical structures shown to be associated with agency (coding for main clause subjects and verb types); (2) narrative analysis to create a 'moral' and 'title' for each account; and (3) dialectic integration of (1) and (2). Results: Descriptive statistics suggested that female participants used we subjects and material verbs (of doing) more than men and that full professors used relational verbs (of being and having) more than assistant and associate. Three broad types of agency were narrated: distributed (n = 15 participants), focusing on how resources and work were spread across team members; individual (n = 6), focusing on the first author's action; and collaborative (n = 3), focusing on group actions. These three types of agency contained four subtypes, e.g. supported, contested, task‐based and negotiated. Discussion: This study highlights the complex and emergent nature of agency narrated by authors when making authorship decisions. Published criteria offer us starting point—the stated rules of the authorship game; this paper offers us a next step—the enacted and narrated approach to the game. Konopasky et al highlight the complex nature of agency in author teams. Interviews with first authors suggest three broad agency types: distributed (across team and resources), individual (first author) and collaborative (joint action). [ABSTRACT FROM AUTHOR]

This paper aims to understand the state‐of‐the‐art of research on sustainability discourse in applied linguistics. The paper adopts a systematic two‐stage review approach. In the first stage, 114 articles were classified into environment, social, and governance (ESG) according to the Global Reporting Initiative (GRI) categories. The second stage involves annotating the dataset using an open‐coding system based on data types explored in the studies, methodologies used, findings, and implications. The findings lead to a comprehensive review of diachronic changes in the investigation of sustainability topics, data types, sampling, frameworks, analytical tools, findings, and implications to ultimately set the grounds for future research on sustainability discourse in applied linguistics and related disciplines—for example, communication studies. [ABSTRACT FROM AUTHOR]

Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021. The purpose of this scoping review is to identify trends, advancements, challenges and limitations of these applications. Among the 41 papers included in this review, 4 primary study purposes were identified: (1) developing automated coding; (2) predicting outcomes; (3) monitoring counselling sessions; and (4) investigating language patterns. Our findings showed a growing trend in the number of papers utilizing advanced machine learning methods, particularly neural networks. Unfortunately, only a third of the articles addressed the issues of bias and generalizability. Our findings provided a timely systematic update, shedding light on concerns related to bias, generalizability and validity in the context of NLP applications in counselling and psychotherapy. [ABSTRACT FROM AUTHOR]

Some 55 years after the publication of Russell's seminal 'On Denoting', Quine adopted the theory of definite descriptions presented therein to formulate his perspicuous lingua franca for the sciences. This paper illustrates how, in so doing, Quine's lingua franca inherited an old antinomy at the core of Russell's theory of definite descriptions, specifically, the lack of congruency between notation and metaphysical commitments when the variable assumes the role of fundamental singular reference. In this context, the paper contends that the phrase 'to be is purely and simply to be the value of the variable' is far from the straightforward solution Quine initially envisioned for his lingua franca. Additionally, it argues that it is unlikely that an attempt to account for a determinate object theory, such as those propounded by Russell and Quine, can prove successful when grounded in a referential theory of quantificational logic where the variable, seen as a simple range of values, holds fundamental singular referent‐position. The paper concludes by suggesting that Meinong's object theory could resolve the problem of the variable, albeit at the cost of potentially undesirable ontological and logical commitments. Alternatively, Kit Fine's recent work on other antinomies in the variable may provide a promising approach to exploring how to salvage the variable as a formal foundation for ontology. [ABSTRACT FROM AUTHOR]

Background: Maternal input plays an important role in influencing linguistic development during the first years of life, and it is evident that mothers adapt their language according to their child's characteristics. Recently, it was demonstrated that maternal input addressed to children with sex chromosome trisomies (SCTs) at 8 months of age is prosodically and functionally different from that addressed to typically developing (TD) peers. Aims: The study aimed at analysing maternal input at 24 months when the presence of a language delay could be more evident than during the preverbal stage. We were interested in examining if maternal input was influenced by a diagnosis of SCT (by comparing children with SCT and TD children) or by children's linguistic level (by comparing children with weak lexical ability versus children with typical lexical ability regardless of the presence of genetic diagnosis). Methods and Procedures: Forty‐four mother–child dyads in which the children had an SCT and 20 mother–child dyads in which the children were TD participated in the study. Of these 64 dyads, 23 children (21 with SCTs and two TD children) formed the group of children with weak lexical ability (children with a vocabulary size lower than 50 words at 24 months). Maternal utterances were collected during one video‐recorded play session and were then coded considering both the linguistic and functional features of the input. Outcomes and Results: The results showed that the input addressed to 24‐month‐old children with SCTs is as rich and complex as that addressed to TD peers. Moreover, no significant differences in the functions expressed by maternal input were found (all ps > 0.05). Comparing the children with weak lexical ability and the children with typical lexical ability in our sample, having a poor vocabulary at 24 months of age showed a significant influence on the maternal input features: the input addressed to children with weak lexical ability was characterised by a higher presence of attention getters (U = 217.00, p = 0.007) and a lower proportion of questions (U = 236.00, p = 0.017) than that of mothers of typically‐talking children. Conclusions and Implications: At 24 months of age, it seems that the presence of a language delay and not belonging to the clinical group of children with SCTs influences the functional characteristics of the maternal input. It is important to support the parents of children with SCTs during the communication process and later during their child's development, leading them to observe their children's manifested skills rather than looking for possible predicted difficulties. WHAT THIS PAPER ADDS: What is already known on the subject: Studies in the literature demonstrated how mothers can generally adapt their input to their child's characteristics. To our knowledge, only two recent studies analysed the maternal input addressed to children with SCT at 8 months of age, highlighting significant differences. What this paper adds to existing knowledge: The maternal input addressed to children with SCT at 24 months of age is not different from that addressed to TD children. At 24 months of age, the mothers adapt their input to the verbal competence shown by their child (weak lexical ability versus typically‐talking), while belonging to the clinical group does not show an influence. What are the potential or actual clinical implications of this work?: All the participants of the present study received prenatal diagnosis disclosure by an expert team of professionals, and they were all involved in a longitudinal study aimed at monitoring the children's development and supporting their parents. These results show that giving clear and complete information about possible development paths to parents of children with SCTs during diagnosis disclosure is crucial. Moreover, supporting the parents during the communication process and later during their child's development is fundamental, leading them to observe their children's manifested skills rather than looking for possible predicted difficulties. [ABSTRACT FROM AUTHOR]

Systems Engineering (SE) may be one of the fastest‐evolving engineering disciplines today. With each technological innovation, the practice of systems engineering is challenged to adapt. Two such practices that have been appearing in university curricula are Model‐Based Systems Engineering (MBSE) and Architectural Patterns. The combination of MBSE and patterns has proven to be a powerful construct. This paper looks at the use of a space‐based patterns library (language) in a graduate‐level system engineering curriculum to teach MBSE. The International Council On Systems Engineering (INCOSE) "Systems Engineering Vision 2035" defines, that by 2035, the systems engineering practices will be based on a set of theoretical foundations and other general principles that are continuously taught as part of a systems engineering curriculum. This paper provides an approach and a solution to the needs of academic coursework for teaching model‐based systems engineering. The method presented in this paper details the usage of the pattern library concept developed for NASA and its usage by the systems engineering graduate students that eases the development of new space‐based systems architectures. Again, our objective is to incorporate INCOSE Vision 2035 in academia using Model‐Based Architectural Patterns for Teaching SE. [ABSTRACT FROM AUTHOR]

My aim in this paper is to connect naming and analyticity and to argue that, like "Hesperus is Hesperus", "Hesperus is Phosphorus" is analytic. In the paper, I also discuss several other unexpected cases of analytic truth like "Aristotle existed". [ABSTRACT FROM AUTHOR]

Background: Little is known about the spontaneous speech characteristics of young children with language delay in Mandarin, relative to their peers. Until the recent development of standardized language assessments normed in China on Mandarin‐speaking children, it was difficult to independently identify atypically developing children to study their spontaneous speech, and only case studies have been available. Aim: To investigate which aspects of spontaneous speech might be distinctive for atypical development in a short play session. Methods & Procedures: A total of 86 Mandarin‐speaking children, boys and girls aged 2;6–4;6, were tested using the new standardized assessment for Mandarin, Diagnostic Receptive Expressive Assessment of Mandarin—Comprehensive (DREAM‐C), at a major urban hospital in China. Of the children, 39 were identified by DREAM‐C as atypically developing in language development (Total Standard score M = 72, SD = 8.9), and 47 scored in the typical range (Total Standard score M = 103, SD = 10.8), using the four scales of Receptive, Expressive Semantics and Syntax. All children then took part in a 15‐min semi‐structured play session during which their spontaneous speech was recorded by professionals. A variety of games and pictures were used in an attempt to elicit spontaneous questions, negatives and descriptions. Their recorded speech samples were then coded by linguists directly into a database in FilemakerPro for different aspects of vocabulary, sentence variety and grammatical morphemes/structures heard. Outcomes & Results: The results describe the characteristics of the speech samples for the typical and atypical groups for age groups 2;6–3.5 (N = 52) and 3;6–4.6 (N = 34). Vocabulary diversity was indicated on an ordinal scale ranging from simple communicative signals including headshakes and words such as 'hi' to 'a rich variety of different content words'. Grammatical diversity similarly ranged from 'only yes/no answers', through to the appearance of multi‐clause sentences. Morphosyntax was coded in terms of which morphemes were observed at all in the session, such as aspect markers (LE, ZAI, GUO), and nominal morphemes (DE, GE), and also whether function words such as pronouns, Wh‐questions and classifiers were singular or varied in the session. There is considerable optionality in morpheme expression in Mandarin, so measurements such as the percentage supplied in obligatory contexts, though useful for languages such as English, are harder to compute. Nevertheless, the data show change over age in all these aspects of language, and reveal what a typically developing child might be expected to produce in a 15‐min sample in such a session. For example, it was rare for the typically developing children by age 3.5 not to have at least simple sentences with some function words, and to use adjectives, nouns and verbs, unlike the children with atypical scores. The morphemes DE, LE and GUO showed significant differences in likelihood across groups for both ages, but BA and ZAI were significantly different only for the older age group. In contrast, GE was common in all groups. The atypical group has markedly lower frequency in several grammatical aspects such as the use of diverse questions, classifiers and pronouns, with much less change across age groups, implying slower growth. The results provide useful information on the relative likelihood of observing different varieties of words, sentence types and morphemes in a short speech sample, which are substantially different in the typical versus atypical groups in both age bands, and change over age. Conclusions & Implications: These data validate the DREAM‐C classifications, but the details can also be used to inform the choice of targets for intervention for young children who experience delays in Mandarin language acquisition. WHAT THIS PAPER ADDS: What is already known on the subject: Spontaneous language samples have been used as a means of studying language in China. However, because of the amount of training and time required to transcribe and analyse spontaneous language samples, there is not yet a sufficient basis for identifying language differences between children with and without language disorder in mainland China. What does this paper add to existing knowledge: After using DREAM‐C to provide an objective measurement of children with and without language disorders, an easy‐to‐administer spontaneous language assessment protocol and scoring record form allowed the comparison of the spontaneous language of 39 children with atypically developing language with 47 children who scored in the typical range to observe language differences between those with and without typical language development. What are the potential or actual clinical implications of this work?: The study documents differences in vocabulary and sentence variety, and use of different morphemes such as classifiers, passives and aspect markers to aid in choosing targets for intervention by demonstrating the path of development. In addition, the spontaneous language assessment protocol and scoring record form holds promise for allowing clinicians and researchers to more easily study the language of individual children to personalize intervention, but also of groups of children to understand the emergence of basic Mandarin linguistic features. [ABSTRACT FROM AUTHOR]

Background: In the governmental delineation of the speech‐language therapist (SLT) profession and in preservice SLT education, Flemish SLTs are considered as gatekeepers of the standard language in Flanders. Yet, most Flemish clients typically use a colloquial language style. Following earlier research on how teachers' language style affects teacher–student interactions, an SLT's strict adherence to standard Dutch may potentially evoke perceptions of inequality in their clients. As a result, Flemish SLTs may find themselves torn between on the one hand adhering to the standard language and on the other hand adapting to the sociolinguistic style of their client and establishing trust. In the present study, we explored SLTs' views on using standard/colloquial language varieties in their practice. Methods & Procedures: Individual semistructured interviews were conducted with 13 Flemish SLTs who worked with children, adolescents and adults in special schools, private practices and hospitals. Interview transcripts were analysed with reflexive thematic analysis. Outcomes & Results: Analyses yielded three themes. Switching between styles was (1) triggered by client characteristics (age, style, therapeutic needs), and it was shaped by (2) the need for establishing trust and (3) a balance between the SLT's professional and personal identity. Notably, most SLTs described partially converging with their clients' colloquial style, effectively reconciling their professional identity as expert speakers with their personal identity as a colloquial language user. Conclusions & Implications: Despite consensus on the role of the SLT as gatekeeper of standard language, many SLTs felt that colloquial language also plays an important role as it bolsters therapeutic alliance and rehabilitation of functional communication. By implementing reflective mixed methods and integrating the client perspective, future studies should further examine how authentic style‐switching occurs and how various styles used by the SLT are evaluated by clients in different contexts. These findings may guide the development of style‐switching as a communicative strategy that can be addressed in preservice education. What this paper adds: What is already known on the subject: In Flanders, the existence of various (non‐)standard varieties of Dutch may evoke some tension regarding the preferred variety in a given context. Flemish teachers switch between standard language and colloquial language (style‐shifting), depending on the foregrounding of the transactional or relational nature of the context. Moving towards students' colloquial speech builds trust and perceptions of equality. Despite the importance of alliance in speech‐language therapy, little is known about how speech‐language therapists (SLTs) feel about using colloquial speech given that they are considered expert speakers. What this paper adds to existing knowledge: While 'talking properly' is part of the SLT's professional identity, many Flemish SLTs felt that strict adherence to the standard language variety hinders therapeutic alliance. While standard language was strongly associated with professionalism, strict adherence to standard language was used only when SLTs felt they had to prove their clinical competency or when language scaffolding was in the foreground. Partially converging with the clients' language use allowed SLTs to reconcile their professional identity as expert speaker with personal identity and authenticity. What are the potential or actual clinical implications of this work?: Both colloquial speech and standard speech serve a function in SLT practice. Therefore, switching between standard and colloquial speech needs further consideration as a communicative strategy rather than instilling in therapists an ideological, normative stance towards language. [ABSTRACT FROM AUTHOR]

A list of papers to be published in future issues of "World Englishes" is presented including "English in Sri Lanka: A Study of Attitudes," by Tobia Bernaisch, "Language Contact in the United Arab Emirates," by Ronald Boyle and "The Emergence of Eastern European English," by Elena Salakhian.

Background: In 2016–17 an important consensus was established regarding the use of the diagnostic label 'developmental language disorder' (DLD) to describe children with a persistent language problem having a functional impact on communication or learning and in the absence of any other biomedical condition. Despite this consensus, past research has revealed ongoing uncertainty regarding when to use the DLD label among speech–language pathologists (SLPs). Aims: In response to this uncertainty, a survey of SLPs was conducted aimed at investigating which types of clinical language profiles, and specific assessment results, were viewed as warranting the diagnostic label DLD. Methods & Procedures: SLPs were presented with 10 childhood language profiles and assessment results. Participants reviewed each case and described if they felt a diagnosis of DLD was warranted, which presented symptoms were consistent/inconsistent with DLD and if further information/testing was desired. Additionally, participants provided details regarding their personal diagnostic processes. Outcomes & Results: Results indicated a general consensus among SLPs as to when the DLD label should be applied. However, free‐text responses demonstrated considerable variation between clinicians regarding symptoms of importance, points of contention/confusion in language profiles and minimal assessment results viewed as necessary in the diagnostic process. Conclusions & Implications: This detailed look at the assessment/diagnostic process for DLD provides valuable insight into how to build further practice consistency in the provision of the diagnostic label DLD, especially in cases of complex language profiles and assessment results. WHAT THIS PAPER ADDS: What is already known on this subject: The label DLD should be used as a diagnostic label to describe children with persistent language problems having a functional impact on communication or learning and in the absence of any biomedical condition. However, in current clinical practice, actual use of the label is inconsistent and SLPs face a number of challenges in diagnosing DLD. What this paper adds to the existing knowledge: This investigation provides clarity regarding which complexities in paediatric language profiles are most challenging for SLPs when determining if a child does/does not have DLD. Additionally, details regarding current assessment beliefs and practices are explored. What are the practical and clinical implications of this work?: By providing a detailed look at the diagnostic processes of practising SLPs, valuable insight is provided into how to build further practice consistency and confidence in the provision of the diagnostic label DLD, especially in cases of complex language profiles and assessment results. [ABSTRACT FROM AUTHOR]

Background: Early intervention is recommended for pre‐school children with low language. However, few robustly evaluated language interventions for young children exist. Furthermore, in many interventions the theoretical underpinnings are underspecified and the 'active ingredients' of the interventions not tested. This paper presents a quasi‐experimental study to test the efficacy and examine the active ingredients of Building Early Sentences Therapy (BEST): an intervention based on usage‐based theory designed to support young children to understand and produce two‐, three‐ and four‐clause element sentences. BEST manipulates the input children hear to support them to harness the cognitive mechanisms hypothesized in usage‐based theories to promote the development of abstract linguistic representations. One such input manipulation is the use of signing alongside verbal input signalling both content and morphology of target sentences. Aims: To examine whether (1) BEST is more efficacious than treatment as usual (TAU); and (2) signing of content and morphology is an active ingredient of the intervention. Methods & Procedures: A quasi‐experimental study recruited children aged 3;5–4;5 years from 13 schools. Schools were assigned to receive either BEST with sign, BEST without sign or TAU. The TAU group received their usual classroom provision. Across arms schools were matched with respect to classroom oral language environment and indices of deprivation. Participants were 48 children (28 boys) with expressive and/or receptive language abilities ≤ 16th centile measured using the New Reynell Developmental Language Scales (NRDLS). Outcomes gathered by researchers blind to treatment arm were NRDLS production and comprehension standard scores and measures of production of targeted sentence structures. Outcomes & Results: Primary outcomes indicate that BEST with sign was significantly more efficacious than TAU with respect to NRDLS production standard score, but not comprehension. The advantage for production was maintained at follow‐up. BEST without sign was significantly more efficacious than TAU on measures of targeted vocabulary, sentence structure and morphology. The results from this quasi‐experimental study provide evidence for the efficacy of a usage‐based intervention on expressive language outcomes for preschool children with low language abilities. There is also evidence to support the inclusion of sign as an active ingredient, and so efforts to train interventionists in its use are worthwhile. Conclusions & Implications: Patterns of findings across outcomes suggest signing of content and morphology may support the development of abstract linguistic representations and accelerate language learning. Given these positive results and the scale of this study, a fully powered randomized controlled trial is warranted. WHAT THIS PAPER ADDS: What is already known on the subject: Robust language skills are crucial for positive social, emotional, academic and economic outcomes across the lifespan. There is a paucity of robustly evaluated interventions for preschool children with language difficulties. The development of such interventions is crucial for ameliorating language difficulties and promoting positive educational and psychosocial outcomes. What this study adds to the existing knowledge: This paper evaluates BEST, a novel usage‐based language intervention targeting children with language difficulties in the early years. Findings indicate that a usage‐based intervention is efficacious for treating language difficulties. In particular, BEST benefited expressive language development, bringing benefits to both treated and untreated language structures and improving standard scores. The role of sign as an active ingredient is also supported. Further evaluation is warranted. What are the practical and clinical implications of this work?: Findings suggest that BEST may be effective for targeting children who have been identified as having language difficulties. In particular, expressive language may be improved when the intervention is delivered as it was originally manualized, including a signing system to represent content and grammatical morphology. More broadly, these findings also provide preliminary evidence that the use of a signing system does not hinder oral language development in children with language difficulties and may conversely support their expressive language. Future research exploring the role and underpinning mechanisms of sign in language intervention is warranted. [ABSTRACT FROM AUTHOR]

Background: Dementia is a cognitive decline that leads to the progressive deterioration of an individual's ability to perform daily activities independently. As a result, a considerable amount of time and resources are spent on caretaking. Early detection of dementia can significantly reduce the effort and resources needed for caretaking. Aims: This research proposes an approach for assessing cognitive decline by analysing speech data, specifically focusing on speech relevance as a crucial indicator for memory recall. Methods & Procedures: This is a cross‐sectional, online, self‐administered. The proposed method used deep learning architecture based on transformers, with BERT (Bidirectional Encoder Representations from Transformers) and Sentence‐Transformer to derive encoded representations of speech transcripts. These representations provide contextually descriptive information that is used to analyse the relevance of sentences in their respective contexts. The encoded information is then compared using cosine similarity metrics to measure the relevance of uttered sequences of sentences. The study uses the Pitt Corpus Dementia dataset for experimentation, which consists of speech data from individuals with and without dementia. The accuracy of the proposed multi‐QA‐MPNet (Multi‐Query Maximum Inner Product Search Pretraining) model is compared with other pretrained transformer models of Sentence‐Transformer. Outcomes & Results: The results show that the proposed approach outperforms the other models in capturing context level information, particularly semantic memory. Additionally, the study explores the suitability of different similarity measures to evaluate the relevance of uttered sequences of sentences. The experimentation reveals that cosine similarity is the most appropriate measure for this task. Conclusions & Implications: This finding has significant implications for the early warning signs of dementia, as it suggests that cosine similarity metrics can effectively capture the semantic relevance of spoken language. The persistent cognitive decline over time acts as one of the indicators for prevalence of dementia. Additionally early dementia could be recognised by analysis on other modalities like speech and brain images. WHAT THIS PAPER ADDS: What is already known on this subject: It is already known that speech‐ and language‐based detection methods can be useful for dementia diagnosis, as language difficulties are often early signs of the disease. Additionally, deep learning algorithms have shown promise in detecting and diagnosing dementia through analysing large datasets, particularly in speech‐ and language‐based detection methods. However, further research is needed to validate the performance of these algorithms on larger and more diverse datasets and to address potential biases and limitations. What this paper adds to existing knowledge: This study presents a unique and effective approach for cognitive decline assessment through analysing speech data. The study provides valuable insights into the importance of context and semantic memory in accurately detecting the potential in dementia and demonstrates the applicability of deep learning models for this purpose. The findings of this study have important clinical implications and can inform future research and development in the field of dementia detection and care. What are the potential or actual clinical implications of this work?: The proposed approach for cognitive decline assessment using speech data and deep learning models has significant clinical implications. It has the potential to improve the accuracy and efficiency of dementia diagnosis, leading to earlier detection and more effective treatments, which can improve patient outcomes and quality of life. [ABSTRACT FROM AUTHOR]

In this paper, I outline and defend a traditional yet controversial view of conceptual analysis, particularly as it is used in epistemology. I will defend the view against a number of objections, all of which focus on the idea that conceptual analysis relies upon linguistic intuitions. Rather than trying to deny this claim, I will seek to vindicate the use of conceptual analysis within epistemology even given its reliance on linguistic intuitions. To do so, I first outline the view of conceptual analysis I have in mind and then respond to three broad objections from Quill Kukla, Allan Hazlett and Stephen Stich. [ABSTRACT FROM AUTHOR]

It is well established that people adapt to statistical regularities at phonological, lexical, and syntactic levels. Much less is known about adaptation to discourse‐level structures, such as adaptation to structures defined as the relationship between a pronoun and its antecedent. To fill this gap, this paper reviews studies on the learning of referential patterns by asking (1) do people represent referential structures, (2) how long do discourse‐level representations last, (3) how specific are representations that are used for referential adaptation, (4) what mechanisms underlie this adaptation, and (5) what the current methods are used to test referential adaptation. This paper also briefly summarises the work on adaptation at other linguistic levels. This line of work extends adaptation to higher‐level structures and demonstrates how people learn language patterns that drive successful communication and reading skills. [ABSTRACT FROM AUTHOR]

Background: Adjectives are essential for communication, conceptual development and academic success. However, they are semantically and syntactically complex and can be particularly challenging for children with Developmental Language Disorder (DLD). Surprisingly, language interventions have not typically focused on this important word class. Aims: (1) To provide a supportive and accessible primer on adjectives for practitioners; (2) to explore how the SHAPE CODINGTM system can be adapted to support adjective learning in DLD; and (3) to provide practical recommendations on how to support adjective learning in clinical practice and education. Methods/Procedure: We synthesise linguistic and psychological research on adjective semantics, clinical insights into DLD and pedagogical practice supporting this population. Main Contribution: We address the lack of specific training in the nature and acquisition of adjectives for speech and language therapists (SLTs) by providing an accessible primer. We also provide an innovative guide detailing how an established metalinguistic intervention might be adapted to support adjective learning. Conclusions/Implications: Without targeted support for adjective learning, the communicative potential of children with DLD is compromised. Our recommendations can be used across a range of therapeutic and educational contexts to guide SLTs and teaching staff in developing practice in this area. What this paper adds: What is already known on the subject: Adjectives are an essential word class needed for effective communication. They are also vital to successfully achieve academic objectives across all curriculum areas. For example, most subjects require children to be able to describe, evaluate, compare and discriminate different events, objects or techniques. Children with Developmental Language Disorder (DLD) have deficits in various domains of language that can affect adjective learning and use. What this paper adds to existing knowledge: Despite the importance of adjectives, speech and language therapists (SLTs) and other professionals supporting language development rarely receive specific training regarding their structure and meanings, and how to teach and support their use. This article provides an accessible primer on the many subtypes of adjectives and how these behave syntactically and semantically. It explores how adjective teaching could be enhanced for children with DLD by adapting an established metalinguistic technique and provides practical recommendations for implementing this approach. What are the potential or actual clinical implications of this work?: By raising awareness of the complexities of adjectives and providing strategies to support their acquisition by children with DLD, this article will enable SLTs and teaching staff to improve their understanding and practice in this area and, with further research, to develop robust, effective interventions for children with DLD. This will contribute to enhancing the long‐term academic, social and employment success of children with DLD. [ABSTRACT FROM AUTHOR]

Background: In everyday conversations, a person with aphasia (PWA) compensates for their language impairment by relying on multimodal and material resources, as well as on their conversation partners. However, some social actions people perform in authentic interaction, proposing a joint future activity, for example, ordinarily rely on a speaker producing a multi‐word utterance. Thus, the language impairment connected to aphasia may impede the production of such proposals, consequently hindering the participation of PWAs in the planning of future activities. Aims: To investigate (1) how people with post‐stroke chronic aphasia construct proposals of joint future activities in everyday conversations compared with their familiar conversation partners (FCPs); and (2) how aphasia severity impacts on such proposals and their uptake. Methods & Procedures: Ten hours of video‐recorded everyday conversations from seven persons with mild and severe aphasia of varying subtypes and their FCPs were explored using conversation analysis. We identified 59 instances where either party proposed a joint future activity and grouped such proposals according to their linguistic format and sequential position. Data are in Finnish. Outcomes & Results: People with mild aphasia made about the same number of proposals as their FCPs and used similar linguistic formats to their FCPs when proposing joint future activities. This included comparable patterns associated with producing a time reference, which was routinely used when a proposal initiated a planning activity. Mild aphasia manifested itself as within‐turn word searches that were typically self‐repaired. In contrast, people with severe aphasia made considerably fewer proposals compared with their FCPs, the proposal formats being linguistically unidentifiable. This resulted in delayed acknowledgement of the PWAs' talk as a proposal. Conclusions & Implications: Mild aphasia appears not to impede PWAs' ability to participate in the planning of joint future activities, whereas severe aphasia is a potential limitation. To address this possible participatory barrier, we discuss clinical implications for both therapist‐led aphasia treatment and conversation partner training. WHAT THIS PAPER ADDS: What is already known on the subject: PWAs use multimodal resources to compensate for their language impairment in everyday conversations. However, certain social actions, such as proposing a joint future activity, cannot ordinarily be accomplished without language. What this paper adds to existing knowledge: The study demonstrates that proposing joint future activities is a common social action in everyday conversations between PWAs and their family members. People with mild aphasia used typical linguistic proposal formats, and aphasic word‐finding problems did not prevent FCPs from understanding the talk as a proposal. People with severe aphasia constructed proposals infrequently using their remaining linguistic resources, a newspaper connecting the talk to the future and the support from FCPs. What are the potential or actual clinical implications of this work?: We suggest designing aphasia treatment with reference to the social action of proposing a joint future activity. Therapist‐led treatment could model typical linguistic proposal formats, whereas communication partner training could incorporate FCP strategies that scaffold PWAs' opportunities to construct proposals of joint future activities. This would enhance aphasia treatment's ecological validity, promote its generalization and ultimately enable PWAs to participate in everyday planning activities. [ABSTRACT FROM AUTHOR]

Background: In the past few years there has been a growing interest in the employment of verbal productions as digital biomarkers, namely objective, quantifiable behavioural data that can be collected and measured by means of digital devices, allowing for a low‐cost pathology detection, classification and monitoring. Numerous research papers have been published on the automatic detection of subtle verbal alteration, starting from written texts, raw speech recordings and transcripts, and such linguistic analysis has been singled out as a cost‐effective method for diagnosing dementia and other medical conditions common among elderly patients (e.g., cognitive dysfunctions associated with metabolic disorders, dysarthria). Aims: To provide a critical appraisal and synthesis of evidence concerning the application of natural language processing (NLP) techniques for clinical purposes in the geriatric population. In particular, we discuss the state of the art on studying language in healthy and pathological ageing, focusing on the latest research efforts to build non‐intrusive language‐based tools for the early identification of cognitive frailty due to dementia. We also discuss some challenges and open problems raised by this approach. Methods & Procedures: We performed a scoping review to examine emerging evidence about this novel domain. Potentially relevant studies published up to November 2021 were identified from the databases of MEDLINE, Cochrane and Web of Science. We also browsed the proceedings of leading international conferences (e.g., ACL, COLING, Interspeech, LREC) from 2017 to 2021, and checked the reference lists of relevant studies and reviews. Main Contribution: The paper provides an introductory, but complete, overview of the application of NLP techniques for studying language disruption due to dementia. We also suggest that this technique can be fruitfully applied to other medical conditions (e.g., cognitive dysfunctions associated with dysarthria, cerebrovascular disease and mood disorders). Conclusions & Implications: Despite several critical points need to be addressed by the scientific community, a growing body of empirical evidence shows that NLP techniques can represent a promising tool for studying language changes in pathological aging, with a high potential to lead a significant shift in clinical practice. WHAT THIS PAPER ADDS: What is already known on this subject: Speech and languages abilities change due to non‐pathological neurocognitive ageing and neurodegenerative processes. These subtle verbal modifications can be measured through NLP techniques and used as biomarkers for screening/diagnostic purposes in the geriatric population (i.e., digital linguistic biomarkers—DLBs). What this paper adds to existing knowledge: The review shows that DLBs can represent a promising clinical tool, with a high potential to spark a major shift to dementia assessment in the elderly. Some challenges and open problems are also discussed. What are the potential or actual clinical implications of this work?: This methodological review represents a starting point for clinicians approaching the DLB research field for studying language in healthy and pathological ageing. It summarizes the state of the art and future research directions of this novel approach. [ABSTRACT FROM AUTHOR]

In this paper I offer a new characterisation of what makes a dispute merely verbal. This new characterisation builds on the framework initially outlined by Jenkins and additionally makes use of Stalnaker's notion of 'common ground'. I argue that this 'common ground account' can better classify disputes as merely verbal, and can better explain cases of playing devil's advocate. [ABSTRACT FROM AUTHOR]

Language plays a fundamental role in every aspect of life. But only recently has research begun to understand the role of language in consumer behavior. This paper offers an integrative discussion of research on the language of consumer psychology. We review some of the main areas of inquiry and discuss some key methodological approaches (e.g., automated textual analysis) that have been crucial to the area's development. Further, we outline some broad issues and opportunities in the space and highlight potential directions for future research. We hope to encourage more consumer psychologists to consider the great potential in producing new conceptual and substantive wisdom from words. [ABSTRACT FROM AUTHOR]

In Nationalism and Culture, now a largely forgotten book, the anarchist thinker Rudolf Rocker offers a compelling account of the nationalist phenomenon, from its origins and development to its influence (or lack thereof) over the linguistic and cultural practices of the large groups of people that typically encompass a nation‐state. The present paper aims to revisit and update Rocker's book, highlighting its relevance and potential contribution to the modern study of nationalism. In particular, I employ the tools of Noam Chomsky's generative study of language to characterise the roles language and culture play in the formation of national identities, in so doing unearthing some of the psychological underpinnings of nationalist beliefs and thus, furthermore, clarifying the actual effects of nationalist policies on language, culture, and artistic creativity. [ABSTRACT FROM AUTHOR]

Deepfakes, particularly audio deepfakes, have become pervasive and pose unique, ever‐changing threats to society. This paper reviews the current research landscape on audio deepfakes. We assert that limitations of existing approaches to deepfake detection and discernment are areas where (socio)linguists can directly contribute to helping address the societal challenge of audio deepfakes. In particular, incorporating expert knowledge and developing techniques that everyday listeners can use to avoid deception are promising pathways for (socio)linguistics. Further opportunities exist for developing benevolent applications of this technology through generative AI methods as well. [ABSTRACT FROM AUTHOR]

Issues of intelligibility may arise amongst English learners when acquiring new words and phrases in North American academic settings, perhaps in part due to limited linguistic data available to the learner for understanding language use patterns. To this end, this paper examines the effects of Data‐Driven Learning for Pronunciation (DDLfP) on lexical stress and prominence in the US academic context. 65 L2 English learners in North American universities completed a diagnostic and pretest with listening and speaking items before completing four online lessons and a posttest on academic words and formulas (i.e., multi‐word sequences). Experimental group participants (n = 40) practiced using an audio corpus of highly proficient L2 speakers while comparison group participants (n = 25) were given teacher‐created pronunciation materials. Logistic regression results indicated that the group who used the corpus significantly increased their recognition of prominence in academic formulas. In the spoken tasks, both groups improved in their lexical stress pronunciation, but only the DDLfP learners improved their production of prominence in academic formulas. Learners reported that they valued DDLfP efforts for pronunciation learning across contexts and speakers. Findings have implications for teachers of L2 pronunciation and support the use of corpora for language teaching and learning. [ABSTRACT FROM AUTHOR]

In this paper, I discuss a view proposed by Carl Hempel in his paper Reduction: Ontological and Linguistic Facets, published in 1969. Here, Hempel suggested that questions regarding the identification of mental states with physiological states, the relation between sociological phenomena and individual behavioral states, and between biological and physicochemical states should be given what he calls a 'linguistic' interpretation. His main point is that whether or not an object is physical or biological depends on how it is, or can be, described. In this paper, I wish to, firstly, explicate Hempel's suggestion, and, secondly, explore one argument in favor of Hempel's account. I will suggest that there is at least one use of the term 'physical' in philosophical discourse (and, for that matter, of related terms such as 'biological', 'mental', 'natural' etc.) that should be cashed out in linguistic or representational terms. [ABSTRACT FROM AUTHOR]

Background: Diadochokinetic rates tasks are frequently used for the assessment of diadochokinesia (DKK) in young and elderly adults. However, there is scarce research on healthy elderly adults over 65 years old, and little is known about the effect of different types of stimuli (non‐words/real words) in this specific population. Furthermore, the current research supports significant language variations, highlighting the need for language‐specific norms. Aims: To investigate the effect of age, gender and type of stimuli (non‐words versus real words) in DDK rates in healthy elderly adults of over 65 years of age, and to provide normative data for the Greek language. Methods & Procedures: The participants were 791 healthy monolingual Greek‐speaking adults (531 adults, aged 20–39 years; 157 participants aged 65–74 years; and 103 participants aged over 75 years). All participants were monolingual speakers of Greek and had normal hearing acuity, which allowed them to understand and follow instructions. Participants with a medical condition, which would affect DDK rates' performance, were excluded from the study. The time‐by‐count method was used, and all participants had to repeat as accurately and fast as possible: (1) four disyllabic non‐words (/′gaba/, /′taka/, /′kata/, /′baga/); (2) four disyllabic real words (/′kapa/, /′tapa/, /ka′la/, /′paka/); and (3) two trisyllabic non‐words (/′pataka/, /′badaga/). All responses were recorded and the speech samples that did not include at least 5 s of correct repetitions were excluded from the analysis. Outcomes & Results: Age affected DDK rates significantly, with older adults achieving slower DDK rates for all speech stimuli (non‐words/real words). Gender did not have an effect on the performance of DDK rates. The type of speech stimuli affected DDK rates significantly for all age groups. Analytically, trisyllabic non‐word stimuli were articulated more slowly than disyllabic non‐word stimuli, and real words were produced faster than non‐words. A linear regression analysis revealed that only the repetition of non‐words predicted 68.4% of the performance on the repetition of trisyllabic non‐words. Conclusions & Implications: The above results complement prior research, which supports that real word stimuli yield faster performance than non‐word stimuli. Clinicians should keep in mind that age, language and type of stimuli (non‐words/real words) affect significantly the performance of DDK rates, as well as the fact that different types of stimuli tap distinct underlying levels of speech. The current research highlights the need for language‐specific norms for different populations. What this paper adds: What is already known on the subject: DDK rates are significantly affected by the types of stimuli and language used. Moreover, the normal ageing process decreases performance in terms of DDK rates, but scarce evidence exists for healthy elderly adults over 65 years old. What this paper adds to existing knowledge: Most studies have examined DDK rates in healthy elderly people with restricted samples and using non‐word stimuli. The current study administered different types of stimuli (non‐words/words) in a large sample of healthy elderly participants. This is also the first study to attempt to provide DDK normative data for this population in the Greek language. What are the potential or actual clinical implications of this work?: The results of this study strongly suggest that clinicians should bear in mind the significant impact age and language have on performance in terms of DDK rates, especially when normative data are not available for a certain language or age group. Furthermore, non‐word and real‐word stimuli cannot be used interchangeably since they tap into distinct underlying levels of speech, thus providing clinicians with useful information about the level of breakdown and the proper treatment plan. [ABSTRACT FROM AUTHOR]

'Dysarthria' is a group of motor speech disorders resulting from a disturbance in neuromuscular control. Most individuals with dysarthria cope with communicative restrictions due to speech impairments and reduced intelligibility. Thus, language‐sensitive measurements of intelligibility are important in dysarthria neurological assessment. The Frenchay Dysarthria Assessment, 2nd edition (FDA‐2), is a validated tool for the identification of the nature and patterns of oro‐motor movements associated with different types of dysarthria. The current study conducted a careful culture‐ and linguistic‐sensitive adaption of the two intelligibility subtests of the FDA‐2 to Hebrew (words and sentences) and performed a preliminary validation with relevant clinical populations. First, sets of Hebrew words and sentences were constructed, based on the criteria defined in FDA‐2, as well as on several other factors that may affect performance: emotional valence, arousal and familiarity. Second, the new subtests were validated in healthy older adults (n = 20), and in two clinical groups (acquired dysarthria, n = 15; and developmental dysarthria, n = 19). Analysis indicated that the new subtests were found to be specific and sensitive, valid and reliable, as scores significantly differ between healthy older adults and adults with dysarthria, correlated with other subjective measures of intelligibility, and showed high test–retest reliability. The words and sentences intelligibility subtests can be used to evaluate speech disorders in various populations of Hebrew speakers, thus may be an important addition to the speech–language pathologist's toolbox, for clinical work as well as for research purposes. What this paper adds: What is already known on the subject: 'Dysarthria' is a group of disorders reflecting impairments in the strength, speed and precision of movements required for adequate control of the various speech subsystems. Reduced speech intelligibility is one of the main consequences of all dysarthria subtypes, irrespective of their underlying cause. Indeed, most individuals with dysarthria cope with communicative restrictions due to speech impairments. Thus, language‐sensitive measurements of intelligibility are important in dysarthria assessment. The FDA‐2's words and sentences subtests present standardized and validated tools for the identification of the nature and patterns of oro‐motor movements associated with different types of dysarthria. What this paper adds to existing knowledge: The lack of assessment tools in Hebrew poses challenges to clinical evaluation as well as research purposes. The current study conducted a careful culture‐ and linguistic‐sensitive adaption of the FDA‐2 intelligibility subtests to Hebrew and performed a preliminary validation with relevant clinical populations. First, sets of Hebrew words and sentences were constructed, based on the criteria defined in FDA‐2, as well as on several other factors that may affect performance: emotional valence, arousal and familiarity. Second, the new subtests were validated in healthy older adults (n = 20), and in two clinical groups (adults with acquired dysarthria, n = 15; and young adults with developmental dysarthria, n = 19). What are the potential or actual clinical implications of this work?: Analyses indicated that the new word and sentence subtests are specific, sensitive, valid and reliable. Namely, (1) they successfully differentiate between healthy individuals and individuals with dysarthria; (2) they correlate with other subjective measures of intelligibility; and (3) they show high test–retest reliability. The words and sentences intelligibility subtests can be used to evaluate speech disorders in various populations of Hebrew speakers. Thus, they may be an important addition to the speech–language pathologist's toolbox, for clinical and research purposes. The methods described here can be emulated for the adaptation of speech assessment tools to other languages. [ABSTRACT FROM AUTHOR]

Down syndrome is the most common genetic syndrome of intellectual disabilities with a distinct linguistic profile. Language research so far has come mainly from the English language, a language with different syntax and morphology from many other languages, including Greek, indicating a paucity of research findings in the Greek language. Given the rich morphology and distinct syntactic characteristics of the Greek language, the present study evaluated the performance of children with Down syndrome (N = 45) who are native Greek speakers in syntax and morphology and compared it with the performance of children with typical development (N = 45) matched for chronological age. The paper also analysed the items of each task in terms of the performance of the two groups in subject–verb agreement, noun conversion from singular to plural, and verb conversion from present to past and future tenses. All children were tested in four subscales of a standardized test, including morphosyntactic comprehension, morphosyntactic completion and articulation (parts 1 and 2). The results showed that children with Down syndrome lag behind in syntax and morphology compared with children of typical development and present difficulties in specific aspects of morphology and syntax inherent in the Greek language. What this paper adds: What is already known on this subject: Morphosyntactic skills are severely impaired in Down syndrome, and research so far has come mainly from the English language, a language with different syntax and morphology from many other languages. What this paper adds to existing knowledge: This research adds more information about morphosyntactic skills in children with Down syndrome compared with typically developing children in the Greek language, a language with rich morphology and syntax. What are the potential or actual clinical implications of this work?: Children with Down syndrome face difficulties in morphosyntactic skills in the Greek language, especially in subject–verb agreement and in converting nouns from singular to plural. [ABSTRACT FROM AUTHOR]

The present paper assessed how dyslexia can be identified in school children with another language than their first language. Participants were school children with Norwegian as their second language (L2), and two groups of children with Norwegian as their first language (L1): a control group (L1‐Con), and a dyslexia group (L1‐Dys). All were 2nd and 3rd graders who had attended Norwegian schools from 1st grade on. None of the individuals in L1‐Con or the L2 group were identified with any learning disability. However, slow literacy progress was seen in some L2‐children. The children were tested individually within the symptomatic and cognitive levels. Results were analysed in two steps: (1) group comparisons; (2) L2 individual profiles and tentative L2 subgrouping. An unexpected L2 profile showed language scores below norm, coupled with some scores within and some scores above norm within the cognitive domain. Case assessment of the L2 group resulted in three subgroups: one comparable to L1‐Con, one comparable to L1‐Dys, and one with a result in between these two groups. Low linguistic scores cannot be considered valid markers of dyslexia in L2. Within the cognitive domain, a variety of low scores can indicate dyslexia, while high scores can be compensatory. [ABSTRACT FROM AUTHOR]