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In this paper, we focus on partitive articles (PAs), i.e., determiners which, generally, have an indefinite interpretation, and on one of their potential correlates, i.e., invariable de, in Francoprovençal, a non-standardized, highly endangered Gallo-Romance language (cf. Zulato, Kasstan & Nagy 2018), and show the fine-grained spatial distribution of these elements in the Swiss and Aosta Valley (Italy) varieties. Presenting several maps based on fieldwork data from Valais (Switzerland) and the Aosta Valley (Italy), we demonstrate that the spatial distribution of PAs and de is more complex than reported in the literature: we complement the basic subdivision of Francoprovençal into two types, Francoprovençal A and B (cf. Kristol 2014, 2016), with a more nuanced picture, in which the morphosyntactic features of PAs play a crucial role: in Francoprovençal A, the presence of PAs depends on the syntactic context whereas, in Francoprovençal B, their presence is limited mainly to two areas, in which singular and plural PAs do not occur together (one area only has singular PAs whereas the other one only has plural PAs). We also show that there is no correlation between phonologically overt plural marking on nouns and absence of PAs; however, we found a correlation between overt sigmatic number marking on nouns and absence of PAs.

Psychopathy is associated with severe deviations in social behavior and cognition. While previous research described such cognitive and neural alterations in the processing of rather specific social information from human expressions, some open questions remain concerning central and differential neurocognitive deficits underlying psychopathic behavior. Here we investigated three rather unexplored factors to explain these deficits, first, by assessing psychopathy subtypes in social cognition, second, by investigating the discrimination of social communication sounds (speech, non-speech) from other non-social sounds, and third, by determining the neural overlap in social cognition impairments with autistic traits, given potential common deficits in the processing of communicative voice signals. The study was exploratory with a focus on how psychopathic and autistic traits differentially influence the function of social cognitive and affective brain networks in response to social voice stimuli. We used a parametric data analysis approach from a sample of 113 participants (47 male, 66 female) with ages ranging between 18 and 40 years (mean 25.59, SD 4.79). Our data revealed four important findings. First, we found a phenotypical overlap between secondary but not primary psychopathy with autistic traits. Second, primary psychopathy showed various neural deficits in neural voice processing nodes (speech, non-speech voices) and in brain systems for social cognition (mirroring, mentalizing, empathy, emotional contagion). Primary psychopathy also showed deficits in the basal ganglia (BG) system that seems specific to the social decoding of communicative voice signals. Third, neural deviations in secondary psychopathy were restricted to social mirroring and mentalizing impairments, but with additional and so far undescribed deficits at the level of auditory sensory processing, potentially concerning deficits in ventral auditory stream mechanisms (auditory object identification). Fourth, high autistic traits also revealed neural deviations in sensory cortices, but rather in the dorsal auditory processing streams (communicative context encoding). Taken together, social cognition of voice signals shows considerable deviations in psychopathy, with differential and newly described deficits in the BG system in primary psychopathy and at the neural level of sensory processing in secondary psychopathy. These deficits seem especially triggered during the social cognition from vocal communication signals., Translational Psychiatry, 12 (1), ISSN:2158-3188

Morphological systems often reuse the same forms in different functions, creating what is known as syncretism. While syncretism varies greatly, certain cross-linguistic tendencies are apparent. Patterns where all syncretic forms share a morphological feature value (e.g., first person, or plural number) are most common cross-linguistically, and this preference is mirrored in results from learning experiments. While this suggests a general bias towards natural (featurally homogeneous) over unnatural (featurally heterogeneous) patterns, little is yet known about gradients in learnability and distributions of different kinds of unnatural patterns. In this paper we assess apparent cross-linguistic asymmetries between different types of unnatural patterns in person-number verbal agreement paradigms and test their learnability in an artificial language learning experiment. We find that the cross-linguistic recurrence of unnatural patterns of syncretism in person-number paradigms is proportional to the amount of shared feature values (i.e., semantic similarity) amongst the syncretic forms. Our experimental results further suggest that the learnability of syncretic patterns also mirrors the paradigm’s degree of feature-value similarity. We propose that this gradient in learnability reflects a general bias towards similarity-based structure in morphological learning, which previous literature has shown to play a crucial role in word learning as well as in category and concept learning more generally. Rather than a dichotomous natural/unnatural distinction, our results thus support a more nuanced view of (un)naturalness in morphological paradigms and suggest that a preference for similarity-based structure during language learning might shape the worldwide transmission and typological distribution of patterns of syncretism.

Different methods to acquire a language can contribute differently to learning success. In the present study we tested the success of L2 stress contrasts acquisition, when ab initio learners were taught or not about the theoretic nature of L2 stress contrasts. In two 4-hour perceptual training methods, French-speaking listeners received either (a) explicit instructions about Spanish stress patterns and perception activities commonly used in L2 pronunciation courses or (b) no explicit instructions and a unique perception activity, a shape/word matching task. Results showed that French-speaking listeners improved their ability to identify and discriminate stress contrasts in Spanish after training. However, there was no significant difference between explicit and non-explicit training nor was there an effect on stress processing under different phonetic variability conditions. This suggests that in L2 stress acquisition, non-explicit training may benefit ab initio learners as much as explicit instruction and activities used in L2 pronunciation courses.

Co-speech hand gestures are an ubiquitous form of nonverbal communication, which can express additional information that is not present in speech. Hand gestures may become more relevant when verbal production is impaired, as in speakers with post-stroke aphasia. In fact, speakers with aphasia produce more gestures than non-brain damaged speakers. Furthermore, there is evidence to suggest that speakers with aphasia produce gestures that convey information essential to understand their communication. In the present study, we addressed the question whether these gestures catch the attention of their addressees. Healthy volunteers (observers) watched short video clips while their eye movements were recorded. These video clips featured speakers with aphasia and non-brain damaged speakers describing two different scenarios (buying a sweater or having witnessed an accident). Our results show that hand gestures produced by speakers with aphasia are on average attended to longer than gestures produced by non-brain damaged speakers. This effect was significant even when we controlled for the longer duration of the gestural movements in speakers with aphasia. Further, the amount of information in speech was also correlated with gesture attention. That is gestures produced by speakers with less informative speech were attended to more frequently. In conclusion, our findings suggest that listeners reallocate their attention and focus more strongly on non-verbal information from co-speech gestures if speech comprehension becomes challenging due to the speaker's verbal production deficits. These findings support a communicative function of co-speech gestures and advocate for instructing people with aphasia to communicate things in the form of gestures that cannot be expressed verbally because interlocutors take notice of these gestures., Neuropsychologia, 174, ISSN:1873-3514, ISSN:0028-3932

Abstract Emerging data in a range of non-human animal species have highlighted a latent ability to combine certain pre-existing calls together into larger structures. Currently, however, the quantification of context-specific call combinations has received less attention. This is problematic because animal calls can co-occur with one another simply through chance alone. One common approach applied in language sciences to identify recurrent word combinations is collocation analysis. Through comparing the co-occurrence of two words with how each word combines with other words within a corpus, collocation analysis can highlight above chance, two-word combinations. Here, we demonstrate how this approach can also be applied to non-human animal signal sequences by implementing it on artificially generated data sets of call combinations. We argue collocation analysis represents a promising tool for identifying non-random, communicatively relevant call combinations and, more generally, signal sequences, in animals. Significance statement Assessing the propensity for animals to combine calls provides important comparative insights into the complexity of animal vocal systems and the selective pressures such systems have been exposed to. Currently, however, the objective quantification of context-specific call combinations has received less attention. Here we introduce an approach commonly applied in corpus linguistics, namely collocation analysis, and show how this method can be put to use for identifying call combinations more systematically. Through implementing the same objective method, so-called call-ocations, we hope researchers will be able to make more meaningful comparisons regarding animal signal sequencing abilities both within and across systems.

This paper traces the history of the English dative alternation by means of a quantitative analysis of instances of both the nominal and the prepositional construction in a corpus of Middle English (PPCME2), and compares the results to Wolk et al.’s (2013) data set from ARCHER. I show that the factors impacting the choice of one pattern over the other are subject to change over time: construction choice in Middle English is not straightforwardly predictable by the same factors at play in today’s alternation, but a clearer division based on syntactic semantic-pragmatic variables gradually emerges in the course to Late Modern English. I interpret this development as a prime case of competition, with a focus on (a) the initial emergence of functional overlap and thus competition, and (b) the subsequent creation of “functional niches” of the competing constructions.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individual's viewing behavior, reflected in their eye movements, is directly related to attentional mechanisms and higher-order cognitive processes. We therefore explore whether ADHD can be detected based on recorded eye movements together with information about the video stimulus in a free-viewing task. To this end, we develop an end-to-end deep learning-based sequence model which we pre-train on a related task for which more data are available. We find that the method is in fact able to detect ADHD and outperforms relevant baselines. We investigate the relevance of the input features in an ablation study. Interestingly, we find that the model's performance is closely related to the content of the video, which provides insights for future experimental designs., Pre-print for Proceedings of the European Conference on Machine Learning, 2022

Language is a potential source of predictors for suicidal thoughts and behaviors (STBs), as changes in speech characteristics, communication habits, and word choice may be indicative of increased suicide risk. We reviewed the current literature on STBs that investigated linguistic features of spoken and written language. Specifically, we performed a search in linguistic, medical, engineering, and general databases for studies that investigated linguistic features as potential predictors of STBs published in peer-reviewed journals until the end of November 2021.We included 75 studies that investigated 279,032 individuals with STBs (age = 29.53 ± 10.29, 35% females). Of those, 34 (45%) focused on lexicon, 20 (27%) on prosody, 15 (20%) on lexicon and first-person singular, four (5%) on (morpho)syntax, and two (3%) were unspecified. Suicidal thoughts were predicted by more intensifiers and superlatives, while suicidal behaviors were predicted by greater usage of pronouns, changes in the amount of verb usage, more prepend and multifunctional words, more nouns and prepositions, and fewer modifiers and numerals. A diverse field of research currently investigates linguistic predictors of STBs, and more focus is needed on their specificity for either suicidal thoughts or behaviors.

A corpus-based method for assessing a range of dialect-standard variation is presented for identifying samples exhibiting the highest prevalence of dialect features. This method provides insight into areal and inter-speaker variation and allows the extraction of maximally non-standard manifestations of the dialect, which may then be sampled and used for the study of language change and variation. The focus is on a non-standard Torlak variety, which has undergone considerable change under the influence of standard Serbian. The degree of variation is assessed by measuring the frequencies of five distinguishing linguistic features: accent position, dative reflexivesi, auxiliary omission in the compound perfect, the post-positive article, and analytic case marking in the indirect object and possessive. Locations subject to the greatest and least influence of the standard are revealed using hierarchical clustering. A positive correlation between the frequencies of occurrence reveals which non-standard feature is the best predictor of the others.

This study investigated whether cross-linguistic differences in causal expressions influence the mapping of causal language on causal events in three- to four-year-old Swiss-German learners and Turkish learners. In Swiss-German, causality is mainly expressed syntactically with lexical causatives (e.g., asse 'to eat' vs. fuettere 'to feed'). In Turkish, causality is expressed both syntactically and morphologically - with a verbal suffix (e.g., yemek 'to eat' vs. yeDIRmek 'to feed'). Moreover, unlike Swiss-German, Turkish allows argument ellipsis (e.g., 'The mother feeds empty set). Here, we used pseudo-verbs to test whether and how well Swiss-German-learning children inferred a causal meaning from lexical causatives compared to Turkish-learning children tested in three conditions: lexical causatives, morphological causatives, and morphological causatives with object ellipsis. Swiss-German-learning children and Turkish-learning children in all three conditions reliably inferred causal meanings, and did so to a similar extent. The findings suggest that, as young as age 3, children learning two different languages similarly make use of language-specific causality cues (syntactic and morphological alike) to infer causal meanings., Swiss National Foundation

Neue Studien zur Sachsenforschung, vol. 11New Narratives for the First Millennium AD?: Alte und neue Perspektiven der archäologischen Forschung zum 1. Jahrtausend n. Chr., p. 133

This chapter elaborates on two case studies in structural variation to illustrate how the comparison of closely-related grammatical systems fuels research questions on general theoretical issues. Our first case study regards subject clitics in central Romance dialects. Subject clitics have been studied extensively in the past decades, but they still raise several questions concerning the nature of null subject languages. Analogously, there is a huge literature on the selection of perfective auxiliaries – the second case history in our chapter – and, as in the case of subject clitics, lesser-known non-standard dialects display a kaleidoscope of auxiliation options, whose rationalization poses fascinating analytical challenges and yields insights into basic issues of linguistic theory. The core question raised by our case studies regards the modelling of linguistic diversity: do the above phenomena result from a finite set of discrete parameters or emerge from random language-specific options? We argue that the otherwise ‘hyperastronomical’ number of possible grammars is aptly constrained by syntactic factors, although inflectional morphology – which syntax cannot control entirely – may have a role in the realization of specific auxiliary or subject clitic forms in each dialect and for each person.

This study aimed to understand parental discourse about vaccination, and to provide guidance for communication that addresses the needs of parents. We analyzed parental discourse on child vaccination in general and tick-borne encephalitis (TBE) specifically in a Swiss parental online community. For this purpose, a data set containing 105k posts written by parents between 2007 and 2019 was analyzed using a combination of linguistic discourse analysis and qualitative content analysis. Results show that parents enter into a multidimensional decision-making process, characterized by elaborate practices of negotiation, consideration of vaccination recommendations as well as six distinct influencing thematic factors (vaccination safety, development and control, effectiveness, epidemiology, necessity, alternatives or additional prevention methods). The study shows a clear pattern of seasonality, with parents talking about TBE vaccination mostly triggered by events such as tick bites in spring and summer. From a public health perspective, the study emphasizes the need for sufficient, balanced, and tailored information about TBE vaccination. Online forums provide valuable information about what matters to parents and when, which can help public health authorities and practitioners provide information according to these concerns and enhance health literacy among parents.

Caretakers tend to repeat themselves when speaking to children, either to clarify their message or to redirect wandering attention. This repetition also appears to support language learning. For example, words that are heard more frequently tend to be produced earlier by young children. However, pure repetition only goes so far; some variation between utterances is necessary to support acquisition of a fully productive grammar. When individual words or morphemes are repeated, but embedded in different lexical and syntactic contexts, the child has more information about how these forms may be used and combined. Corpus analysis has shown that these partial repetitions frequently occur in clusters, which have been coined variation sets. More recent research has introduced algorithms that can extract these variation sets automatically from corpora with the goal of measuring their relative prevalence across ages and languages. Longitudinal analyses have revealed that rates of variation sets tend to decrease as children get older. We extend this research in several ways. First, we consider a maximally diverse sample of languages, both genealogically and geographically, to test the generalizability of developmental trends. Second, we compare multiple levels of repetition, both words and morphemes, to account for typological differences in how information is encoded. Third, we consider several additional measures of development to account for deficiencies in age as a measure of linguistic aptitude. Fourth, we examine whether the levels of repetition found in child-surrounding speech is greater or less than what would have been expected by chance. This analysis produced a new measure, redundancy, which captures how repetitive speech is on average given how repeititive it could have been. Fifth, we compare rates of repetition in child-surrounding and adult-directed speech to test whether variation sets are especially prevalent in child-surrounding speech. We find that (1) some languages show increases in repetition over development, (2) true estimates of variation sets are generally lower than or equal to random baselines, (3) these patterns are largely convergent across developmental indices, and (4) adult-directed speech is reliably less redundant, though in some cases more repetitive, than child-surrounding speech. These results are discussed with respect to features of the corpora, typological properties of the languages, and differential rates of change in repetition and redundancy over children's development., European Union (EU); European Research Council (ERC), European Union's Seventh Framework Programme (FP7/2007-2013); Swiss National Science Foundation

It has been shown that multilingual transformer models are able to predict human reading behavior when fine-tuned on small amounts of eye tracking data. As the cumulated prediction results do not provide insights into the linguistic cues that the model acquires to predict reading behavior, we conduct a deeper analysis of the predictions from the perspective of readability. We try to disentangle the three-fold relationship between human eye movements, the capability of language models to predict these eye movement patterns, and sentence-level readability measures for English. We compare a range of model configurations to multiple baselines. We show that the models exhibit difficulties with function words and that pre-training only provides limited advantages for linguistic generalization.

We present a new machine learning benchmark for reading task classification with the goal of advancing EEG and eye-tracking research at the intersection between computational language processing and cognitive neuroscience. The benchmark task consists of a cross-subject classification to distinguish between two reading paradigms: normal reading and task-specific reading. The data for the benchmark is based on the Zurich Cognitive Language Processing Corpus (ZuCo 2.0), which provides simultaneous eye-tracking and EEG signals from natural reading of English sentences. The training dataset is publicly available, and we present a newly recorded hidden testset. We provide multiple solid baseline methods for this task and discuss future improvements. We release our code and provide an easy-to-use interface to evaluate new approaches with an accompanying public leaderboard: www.zuco-benchmark.com., Frontiers in Psychology, 13, ISSN:1664-1078

In Albanian, the application of a preverbal accusative index, also known as clitic doubling, may appear not only with nominal but also with clausal arguments, a hitherto little-discussed phenomenon. The occurrence of the preverbal object index is at least partly conditional on readiness for individuation of the complement clause and on its information status. Individuation and information status are also involved in the indexing of accusative nominal arguments, which testifies to a system in Albanian that operates across structurally different complement types, treating them alike. The analysis presented in this chapter contributes to more general discussions concerning the syntactic properties of complements.

The alignment between low-frequency activity in the brain and slow acoustic modulations in the speech signal depicts a core principle in present theories of speech perceptionda process referred to as 'neural speech tracking'. While most older adults, particularly those with highly prevalent age-related hearing loss, have difficulties with speech perception and comprehension, the impact of hearing loss on neural speech tracking is still unclear. In this study we investigated the effects of pure-tone hearing loss and different types of background noise on the neural tracking response in a large sample of older adults (N = 101). Furthermore, we examined whether the neural tracking response was predictive for speech comprehension. For this purpose, we obtained scalp EEG from our participants who had varying degrees of pure-tone hearing loss (7.5-59.6 dB HL for .5-8 kHz pure tones) while they listened to sentences in quiet, pink and multi-talker babble noise. Speech tracking was quantified by computing the cross-correlation between the EEG signal and the amplitude envelope of the sentences heard. A higher degree of pure-tone hearing loss was associated with greater neural speech tracking (i.e., greater cross-correlation). Additionally, neural speech tracking showed a positive association with speech comprehension. This relationship was modulated by the degree of pure-tone hearing loss with hearing-impaired participants benefitting more from greater neural speech tracking. Our results highlight the potential of neural speech tracking as an objective measure of speech comprehension and as a possible target mechanism for clinical interventions such as neurofeedback. Furthermore, the interaction between speech tracking and pure-tone hearing loss suggests a compensatory mechanism by which the hearing-impaired rely more on slow amplitude modulations in the speech signal. (C) 2022 The Author(s). Published by Elsevier Ltd., Cortex, 151, ISSN:0010-9452, ISSN:1973-8102