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Following the civil war in Syria in 2011, migration from Syria in massive numbers has caused various political, demographic, societal, and cultural challenges in Turkey. The focus of this research is on how the issue of naturalization of Syrians as Turkish citizens has been presented in Turkish newspapers and to what extent the dominant perspective on the issue has shifted over time. For our computational textual analysis of Turkish newspaper materials published between 2012 and 2019, we compiled a corpus consisting of 15,276 news items from four newspapers featuring the co-occurrence of the words "Syria*" (Suriye*) and "citizen*" (vatandaş*) in the main body of their text. The newspapers include mainstream and pro-government (Milliyet with liberal tendencies, Sabah with center-right tendencies), and left-wing (Sol, Evrensel) perspectives. A two-step textual analysis was conducted on the corpus. First, dictionary-based topic modeling was used to chart which broader topics Turkish citizenship of Syrians is predominantly linked to the data, and how the predominance of topics shifted over time. Second, a collocation analysis of the word "refugee" (mülteci) yields a more fine-grained picture of the specific words and expressions that tend to appear often when Syrian refugees are discussed. In both steps, an aggregated general analysis was complemented with separate newspaper-specific analyses, thus allowing for the comparison of different newspapers. Findings show that Syrians in Turkey predominantly feature in the context of diplomatic and societal topics. While mainstream news sources approach the issue less critically, left-wing newspapers show more sensitivity to migrant rights in Turkey. [ABSTRACT FROM AUTHOR]

Language proficiency is assumed to play a role in achievement in tertiary education. When requirements for university entrance are low or demographic changes in the population take place, universities often employ post-admission language assessments to screen all incoming students. In this study, we will look at the predictive validity of a practical, low-stakes, web-based academic reading and vocabulary screening test. Additionally, we will investigate the predictive value of the screening test when other known predictors are controlled for. Our results confirm prior research that academic language proficiency is a small but meaningful predictor of achievement in that it can detect the students that are at-risk because of lower language proficiency. The result correlates modestly with our measure of achievement, credit completion rate, with a correlation coefficient of around 0.30. When other predictors are controlled for in a multiple regression analysis, demographic background variables do not seem to have a large impact on the predictive value of the language screening test. In our sample of mostly native speaking monolingual students, the academic language proficiency measure does appear to reflect students' educational background variables. As a low-stakes instrument, it is useful as an early-alert signal, prompting further diagnosis or remedial activities.

Previous research has extensively discussed the grammaticalisation of Chinese analytic causative markers, yet no study has empirically examined the contextual features that constrain their choice over different historical periods. In light of this gap in the research, this study uses three exploratory quantitative methods, namely Hierarchical Cluster Analysis, Multi-dimensional Scaling Analysis, and Multiple Correspondence Analysis, to analyse 10,817 observations of analytic causative constructions with shi (), ling (), jiao1 () and jiao2 () as causative markers from the fourteenth to the twentieth century. Our analyses reveal distinct usage patterns of these markers and we effectively delineate their contextual features through the incorporation of eight syntactic and semantic variables. Our findings not only enhance the understanding of Chinese analytic causative constructions from the fourteenth to the twentieth century, but also provide corroborative evidence for previous research on synchronic variation. [ABSTRACT FROM AUTHOR]

This study investigated the potential of comprehensive corrective feedback forms as editing and learning tools and examined their effect on learners' cognitive and attitudinal engagement. Low-intermediate second language writers (N = 139) were randomly assigned to four experimental conditions (direct corrections of grammatical errors, metalinguistic codes for grammatical errors, direct corrections of grammatical and nongrammatical errors, or metalinguistic codes for grammatical and nongrammatical errors) and a control group (self-correction). Results from mixed-effects linear models showed that although direct corrections and codes were effective for enhancing learners' immediate grammatical and nongrammatical accuracy (i.e., during text revision), a long-term advantage (i.e., 4 weeks after feedback provision) was only evident for direct corrections. A mental effort measure of cognitive load revealed that participants' cognitive load was significantly lower when processing direct corrections targeting grammar issues. Questionnaire answers also yielded a significant attitudinal difference between the direct feedback groups and their metalinguistic counterparts.

The research paradigm of alternation studies is forming an increasingly large share of the empirical foundations of usage-based linguistics. As the paradigm is essentially an amalgamation of research traditions from various subfields of linguistics, including sociolinguistics, psycholinguistics, cognitive linguistics, and construction grammar, it sports various definitions of the concept of "alternation" and various ways of conducting an alternation study, which are not always compatible. The present special issue is therefore intended to bring researchers from various backgrounds in usage-based linguistics together to see how we can deal with these issues. This introduction first presents the various ways of defining an alternation and discusses the differences between them and how these definitions determine the methodological set-up of an alternation study. Next, the contributions to the special issue are each in turn summarized and related to one another. [ABSTRACT FROM AUTHOR]

So-called "distributional" language models have become dominant in research on the computational modelling of lexical semantics. This paper investigates how well such models perform on Ancient Greek, a highly inflected historical language. It compares several ways of computing such distributional models on the basis of various context features (including both bag-of-words features and syntactic dependencies). The performance is assessed by evaluating how well these models are able to retrieve semantically similar words to a given target word, both on a benchmark we designed ourselves as well as on several independent benchmarks. It finds that dependency features are particularly useful to calculate distributional vectors for Ancient Greek (although the level of granularity that these dependency features should have is still open to discussion) and discusses possible ways for further improvement, including addressing problems related to polysemy and genre differences. [ABSTRACT FROM AUTHOR]

In this article, we report a large-scale corpus study aimed at tackling the (controversial) question to what extent the European national varieties of Dutch, that is, Belgian and Netherlandic Dutch, exhibit morpho-syntactic differences. Instead of relying on a manual selection of cases of morphosyntactic variation, we first marshal large bilingual parallel corpora and machine translation software to identify semiautomatically, in an extensively data-driven fashion, loci of variation from various "corners" of Dutch grammar. We then gauge the distribution of con-structional alternatives in a nationally as well as stylistically stratified corpus for a representative selection of twenty alternation patterns. We find that natiolectal variation in the grammar of Dutch is far more prevalent than often assumed, especially in less edited text types, and that it shows up in inflection phenomena, lexically conditioned syntactic variation, and pure word order permutations. Another key finding is that many cases of synchronic probabilistic asymmetries reflect a diachronic difference between the two varieties: Netherlandic Dutch often tends to be ahead in cases of ongoing grammatical change, with Belgian Dutch holding on somewhat longer to obsolescent features of the grammar. [ABSTRACT FROM AUTHOR]

This article builds on computational tools to investigate the syntactic relationship between the highly related European national varieties of Dutch, viz. Belgian Dutch (BD) and Netherlandic Dutch (ND). It reports on a series of memory-based learning analyses of the post-verbal distribution of er "there" in adjunct-initial existential constructions like Op het dak staat (er) een schoorsteen "On the roof (there) is a chimney,', which has been claimed to be among the most notoriously difficult variables in Dutch. On the basis of balanced datasets extracted from Flemish and Dutch newspaper corpora, it is shown that er's distribution in both national varieties can be learned to a considerable extent from bare lexical input which is not assigned to higher-level categories. However, whereas this yields good results for ND, BD scores are consistently lower, suggesting that BD cannot do with lexical features alone to attain accuracy scores comparable to ND. This ties in with earlier findings that the more advanced standardization of ND materializes in a higher lexical collocability, whereas Flemish speakers need additional higher-level linguistic information to insert er. [ABSTRACT FROM AUTHOR]

Copyright of Digital Studies / Champ Numérique is the property of Open Library of Humanities and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this article we propose a classification for agent-based computer simulations of language change. The classification hinges on four major categories which describe a trigger on the local level and a global, emergent effect. These categories, which coincide with linguistic subdisciplines, are assessed on the basis of four dimensions: (1) whether meaning plays a role; (2) what agent types (M. Abrams 2013) are used; (3) whether agents are connected in a social structure; (4) whether the focus lies on new forms or the disappearance of old ones. The differences between the categories in the proposed classification reflect their different goals, but because of the versatile nature of simulation research, classification remains a difficult task. [ABSTRACT FROM AUTHOR]

Construction grammar organizes its basic elements of description, its constructions, into networks that range from concrete, lexically-filled constructions to fully schematic ones, with several levels of partially schematic constructions in between. However, only few corpus studies with a constructionist background take this multi-level nature fully into account. In this paper, we argue that understanding language variation can be advanced considerably by systematically formulating and testing hypotheses at various levels in the constructional network. To illustrate the approach, we present a corpus study of the Dutch naar-alternation. It is found that this alternation primarily functions at an intermediate level in the constructional network. [ABSTRACT FROM AUTHOR]

While the literature on the effect of comprehensive corrective feedback (CF) on overall accuracy is abundant, the body of work employing such a scope to explore error treatability is not, especially when it comes to blended (cf. Ferris, 2010) design studies. Consequently, this investigation extends the analyses from the data set of Bonilla et al. (2018) to report on individual linguistic features. Specifically, to address crucial amenabilityrelated questions in need of perusal, the present blended design study explores the effect of two types of comprehensive CF (with direct correction and metalinguistic codes) on the treatability of separate grammatical and non-grammatical structures. To this end, a group of EFL learners (N = 139) were required to do editing that involved error-correction, deferred (on a draft), and focused on language as well as to produce two independent essays (in an immediate and a delayed posttest). Main results from logistic regression (to test the effect in revised essays) and mixed-effect models (to test the effect on independent essays) render seven variables that can explain correctability differences: out of those, three have also explained overall accuracy gains (cf. Bonilla et al., 2018), one has not been identified thus far, and three consolidate themselves as relevant factors under other conditions as well. Theoretical and pedagogical implications are discussed. [ABSTRACT FROM AUTHOR]

Objective: This paper reports on an experiment conducted with 174 Flemish children in three age groups, namely first, third and fifth year of primary school, aiming to assess the social meaning children associate with English-sourced lexemes in Belgian Dutch. Method: The children were presented with 2 versions of a cartoon hero developed specifically for this study: Sterrenman, who only uses Dutch words, and Starman, who uses English alternatives for 17 content words in the cartoon's script. Relying on extensive pretesting, we adapted standard designs and instrumentation from social psychology (the matched guise technique) and language acquisition research to gauge the children's appreciation of the two heroes, their understanding of the English and Dutch vocabulary used in the script, and their level of language awareness. Findings: The key findings are: rather than an incremental increase in favorable social meaning for English from the first to the third age group under scrutiny, we see a decline of the prestige of Dutch in the oldest age group; the children's level of language awareness, receptive vocabulary knowledge and age seem associated with their overall appreciation of Sterrenman and Starman; working with children from various age groups inevitably entails methodological risks. Originality: This is a first and hence exploratory study on the acquisition of the social meaning of English lexemes by EL2 children and their ensuing progressing bilingualism. Implications: Overall, the study helps us contribute to both the recent socio-pragmatic turn in anglicism research and to the upcoming field of developmental sociolinguistics, revealing the transition points in children's acquisition of the social meaning of contact-induced variation and change. [ABSTRACT FROM AUTHOR]

In this paper we introduce a computationally enriched experimental tool designed to investigate language ideology (change). In a free response experiment, 211 respondents returned three adjectives in reaction to the labels for five regional varieties, one ethnic variety and two supra-regional varieties of Belgian Dutch, as well as the standard accent of Netherlandic Dutch. Valence information (pertaining to the positive/negative character of the responses) and big data–based distributional analysis (to detect semantic similarity between the responses) were used to cluster the response adjectives into 11 positive and 11 negative evaluative dimensions. Correspondence analysis was subsequently used to compute and visualize the associations between these evaluative dimensions and the investigated language labels, in order to generate "perceptual maps" of the Belgian language repertoire. Contrary to our expectations, these maps unveiled not only the dominant value system which drives standard usage, but also the competing ideology which frames the increasingly occurring non-standard forms. In addition, they revealed a much richer stratification than the "one variety good, all other varieties bad" dichotomy we had anticipated: while VRT-Dutch remains the superior (albeit increasingly virtual) standard for Belgian Dutch, the stigmatized colloquial variety Tussentaal is gradually being accepted as a practical lingua franca, and the Ghent-accent is boosted by modern prestige (dynamism) features. Even more crucially, separate perceptual maps for the older and younger respondents lay bare generational change: there is a growing conceptual proximity between VRT-Dutch and Tussentaal in the younger perceptions. [ABSTRACT FROM AUTHOR]

Part of the generalizability issues that haunt controlled lab experiment designs in psychology, and more particularly in psycholinguistics, can be alleviated by adopting corpus linguistic methods. These work with natural data. This advantage comes at a cost: in corpus studies, lexemes and language users can show different kinds of skew. We discuss a number of solutions to bolster the control. [ABSTRACT FROM AUTHOR]

In this paper, we revisit earlier analyses of the distribution of er 'there' in adjunct-initial sentences to demonstrate the merits of computational upscaling in syntactic variation research. Contrary to previous studies, in which major semantic and pragmatic predictors (viz. adjunct type, adjunct concreteness, and verb specificity) had to be coded manually, the present study operationalizes these predictors on the basis of distributional analysis: instead of hand-coding for specific semantic classes, we determine the semantic class of the adjunct, verb, and subject automatically by clustering the lexemes in those slots on the basis of their 'semantic passport' (as established on the basis of their distributional behaviour in a reference corpus). These clusters are subsequently interpreted as proxies for semantic classes. In addition, the pragmatic factor 'subject predictability' is operationalized automatically on the basis of collocational attraction measures, as well as distributional similarity between the other slots and the subject. We demonstrate that the distribution of er can be modelled equally successfully with the automated approach as in manual annotation-based studies. Crucially, the new method replicates our earlier findings that the Netherlandic data are easier to model than the Belgian data, and that lexical collocations play a bigger role in the Netherlandic than in the Belgian data. On a methodological level, the proposed automatization opens up a window of opportunities. Most important is its scalability: it allows for a larger gamut of alternations that can be investigated in one study, and for much larger datasets to represent each alternation. [ABSTRACT FROM AUTHOR]

Belgian Dutch (BD) and Netherlandic Dutch (ND) are known to exhibit phonetic and lexical differences, but national variation in the syntax of Dutch has often been claimed to be quasi non-existent. This view is rooted in the fact that both laypersons and researchers are oblivious to national divergences in the grammar of Dutch (unless they are categorical and/or heavily mediatized), but also in the undisputed belief that BD and ND are different surface manifestations of 'the same grammatical motor'. As a result, only a few syntactic phenomena have hitherto been shown to be sensitive to national constraints. In this paper we illustrate a computational bottom-up approach (pioneered in Bannard & Callison-Burch 2005) to cast the net as widely as possible. Building on statistical machine translation and a parallel corpus of Dutch translations of English subtitles, we identify plausible mappings between English n-grams and their Dutch translations. We do this in order to obtain paraphrases, i.e., stretches of interchangeable Dutch text that carry approximately the same meaning. In a first case study, we found corroborating evidence among the discovered paraphrases for many syntactic variables that have previously been attested in Dutch, including complementizer variation, existential er-variation, word order phenomena, and inflection variation. Crucially, we also discovered a number of alternations we had not anticipated as interesting variables. In order to detect national constraints on the newly found variables, we carried out a second experiment with a smaller corpus of Belgian and Netherlandic subtitles: the two variables we investigated in this light - deictic strength variation and subordination variation - did indeed manifest national sensitivity. [ABSTRACT FROM AUTHOR]

Recently, sociolinguistic attitude research has adopted a number of new implicit attitude measures developed in social psychology. Especially the Implicit Association Test (IAT) has proven a successful new addition to the sociolinguist's toolbox. Despite its relative success, the IAT has a number of limitations, such as the fact that it measures the association between two concepts (e.g. 'I' and 'skinny') without controlling for the relationship between those two concepts (e.g. 'I am skinny' vs. 'I want to be skinny'). The Relational Responding Task (RRT), a novel implicit attitude measure recently developed by social psychologists, makes up for exactly that limitation by presenting participants with full propositions expressing beliefs rather than loose concepts. In this paper, we present a study that explores the RRT as a novel implicit measure of language attitudes. We employ the method to investigate the social meaning of two varieties of Dutch: Standard Belgian Dutch and colloquial Belgian Dutch. In total 391 native speakers of Belgian Dutch took part in the study. A training effect in the data aside, our results show that the latter variety is associated with dynamism, while the former is perceived as prestigious. [ABSTRACT FROM AUTHOR]

Lexical diversity, the amount of lexical variation shown by a particular concept, varies between concepts. For the concept drunk, for instance, nearly 3000 English expressions exist, including blitzed, intoxicated, and hammered. For the concept sober, however, a significantly smaller number of lexical items is available, like sober or abstinent. While earlier variation studies have revealed that meaning-related concept characteristics correlate with the amount of lexical variation, these studies were limited in scope, being restricted to one semantic field and to one dialect area, that of the Limburgish dialects of Dutch. In this paper, we investigate whether the impact of concept characteristics, viz. vagueness, lack of salience and proneness to affect, is manifest in a similar way in other dialects and other semantic fields. In particular, by extending the scope of the earlier studies to other carefully selected semantic fields, we investigate the generalizability of the impact of concept characteristics to the lexicon as a whole. The quantitative approach that we employ to measure concept characteristics and lexical diversity methodologically advances the study of linguistic variation. Theoretically, this paper contributes to the further development of Cognitive Sociolinguistics by showcasing how meaning can be a source of lexical diversity. [ABSTRACT FROM AUTHOR]

The likelihood with which language users insert optional words or morphemes that explicitly mark syntactic structure tends to increase in complex grammatical environments. This positive correlation between explicitness and complexity, best known as the Complexity Principle, has been observed for a multitude of case studies in both naturally occurring language and experimental settings. Researchers have sought the explanation for this Complexity Principle in three different domains: cognitive comprehension processing, the language channel, and cognitive production processing. Based on these accounts, we formulate predictions regarding the action radius of the Complexity Principle in the alternation between a direct and prepositional object of the Dutch verb zoeken 'search'. These predictions are tested against corpus observations. Our results confirm accounts according to which optional elements indicate production difficulties, as well as those that explain the Principle as a result of restrictions on the language channel. In addition, our results indicate that the Principle is sensitive to context-determined restrictions that are the result of its underlying cause. This may present a possible caveat for alternation studies. [ABSTRACT FROM AUTHOR]

In this paper, we investigate gender assignment to recently borrowed English loanwords in Dutch, introducing several innovations to the field of gender assignment to anglicisms. For example, we use multiple mixed-effects logistic regression to determine which factors underlie gender assignment in Dutch. This model indicates that there is variation in the degree of homogeneity in the speech community (that is, agreement among respondents) concerning the gender assigned to an anglicism; therefore, we analyze the contexts in which homogeneity is the lowest. Our analysis reveals that the degree of consensus does not solely depend on how established an anglicism is. In contrast to what has been argued in previous studies, gender assignment to anglicisms in Dutch is not a categorical process: Gender variation increases when respondents are faced with a conflict between the default article de and some factor that favors its neuter counterpart, het.* [ABSTRACT FROM PUBLISHER]

This article presents the results of a corpus study of the Dutch psychological verbs ergeren 'to annoy', interesseren 'to interest', storen 'to disturb', and verbazen 'to amaze'. These verbs exhibit a syntactic alternation between their seemingly synonymous transitive and reflexive argument constructions, as in Elizabeth ergert John vs. John ergert zich aan Elizabeth (both: 'Elizabeth annoys John'). On the basis of current theoretical insights, four hypotheses are formulated predicting the language user's preferred argument construction. It is argued that the popular agentivity hypothesis, as proposed in studies by, for instance, Dowty, Langacker, and Zaenen, should be broken up into the token- and type-level agentivity hypotheses. Both agentivity hypotheses come with different theoretical entailments, and make distinct predictions about the quantitative data. These data confirm the token-level agentivity hypothesis, while not doing the same for the type-level agentivity hypothesis. Additionally, it is found that stimuli and experiencers that are heavier in terms of informational weight both prompt the use of the reflexive construction, and that the individual preferences of the verbs could not be predicted based on their historical semantic development. [ABSTRACT FROM AUTHOR]

Formality variation in the written use of lexical words in the relational sphere in California English is analyzed on a geographical level for the first time in this article. Linguistic data for word alternations including a formal and an informal term for a specific concept are gathered from newspapers Web sites written in English through site-restricted Web searches across California (Asnaghi, An Analysis of Regional Lexical Variation in California English Using Site-Restricted Web Searches. Joint Ph.D. Dissertation, Universita` ; Cattolica del Sacro Cuore and University of Leuven, Milan, Italy and Leuven, Belgium, 2013) and analyzed with a series of spatial statistical analyses (Grieve et al. A statistical method for the identification and aggregation of regional linguistic variation. Language Variation and Change, 23: 193-221, 2011). Urban versus rural and north versus south tendencies are detected in the language choices of California journalists. These tendencies are rooted in the history of the Golden State as well as in its socioeconomical structure (Starr and Procter. Americans and the California dream, 1850-1915. History: Reviews of New Books, 1(9): 201-201, 1973; Hayes, Historical Atlas of California: With Original Maps. Berkeley/Los Angeles/London: University of California Press, 2007). [ABSTRACT FROM AUTHOR]

This paper presents a quantitative corpus-based variationist analysis of the English insertions used by Belgian Dutch and Netherlandic Dutch participants to the reality TV show ‘Expeditie Robinson’. The data consist of manual transcriptions of 35 hours of recordings for 46 speakers from 3 seasons of the show. Focusing on the expressive utterances in the corpus, we present a mixed-effect logistic regression analysis to pattern which of a variety of speaker-related and context-related features can help explain the occurrence of English insertions in Dutch. The results show a strong impact of typical variationist variables such as gender, age and location; but features that are more situational, such as emotional charge and topic of the conversation, also prove relevant. Overall, in its combined focus on (a) oral corpora of spontaneous language use, (b) social patterns in the use of English and (c) inferential statistical modeling, this paper presents new perspectives on the study of Anglicisms in weak contact settings. [ABSTRACT FROM PUBLISHER]

This paper looks at a hitherto unexplored aspect of taxonomically organized concepts which has to do with word distributions in corpora of actual language use. In parallel to the psychological informativeness claim of the differentiation explanation, the question is addressed if concepts are internally more similar than their higher-ranked taxonomical relatives. This internal similarity is measured by making use of token-based vector space models. For each occurrence of a concept in the corpus a context vector can be calculated, which then serves as input for the internal similarity measure. Experiments are conducted for taxonomies taken from the Dutch counterparts of the English semantic domains animal and means of transportation. Results do not wholeheartedly agree with the imposition of a strict taxonomical order, but give rise to a new behavioural measure of the basic level. [ABSTRACT FROM AUTHOR]

This paper investigates metonymies for PERSON in Chinese and English in the framework of Cognitive Linguistics with an emphasis on cross-linguistic variation. Our central goal is to highlight the important role of cultural elements on the use of metonymy. Three main types of cross-linguistic variation were found at different degrees of granularities of metonymies: variation in metonymic patterns for the general target category PERSON, variation in metonymic patterns for a specific kind of PERSON, and variation in metonymic sources in a specific pattern. The variation was examined against its cultural background, and we conclude that some cross-linguistic differences are to a large extent rooted in culturally relevant factors. The findings suggest that although bodily experience as the general cognitive basis for metonymic pattern/source selection implies the universality of metonymies across different languages, cultural elements contribute to the language-specific preferences for metonymies of a given target. [ABSTRACT FROM AUTHOR]

This paper introduces an innovative method to aid the study of conceptual onomasiological research, with a specific emphasis on diachronic variation in the metonymic patterns with which a target concept is expressed. We illustrate how the method is applied to explore and visualize such diachronic changes by means of a case study on the metonymic patterns for woman in the history of Chinese. Visualization is done with the help of a Multidimensional Scaling solution based on the profile-based distance calculation (; ) and by drawing diachronic trajectories in a set of MDS maps, corresponding to different metonymic targets. This method proves to be effective and feasible in detecting changes in the distribution of metonymic patterns in authentic historical corpus data. On the basis of this method, we can show that different targets exhibit different degrees of diachronic variation in their metonymic patterns. We find diachronically more stable targets (e.g. imperial woman), targets with a dominant trend in diachronic variation (e.g. a woman), and targets with highly fluctuating historical variation (e.g. beautiful woman). Importantly, we can identify the cultural and social changes that may lie behind some of these changes. Examining the results uncovered by the method offers us a better understanding of the dynamicity of metonymic conceptualizations. [ABSTRACT FROM AUTHOR]

The paper explores language-internal variation in the referential meaning of the lexical form blue. Taking a usage-based cognitive approach, we analyze the referential range of blue in several marketing contexts from a semasiological and an onomasiological perspective. The study develops an interdisciplinary method that combines frequency analysis with mapping of the referent distributions in the three-dimensional CIELab color space. It is argued that the observed referential variation in blue is influenced by usage-related factors such as availability of the referents, diversity of color naming strategies and onomasiological competition between lexical forms in the individual product categories. [ABSTRACT FROM AUTHOR]

Adopting a corpus-based approach, lexical collocations are reconsidered from a lectal perspective. Analyzing adjective-noun collocations, it will be shown that lexical collocations are conditioned by the language settings in which they are used. These lectal constraints do not only apply to lexical collocations as a measure of lexical association but also to their potential function as a determinant of other constructions. These results argue for the inclusion of the heterogeneity of the corpus settings in empirical linguistic models and for the integration of a full-fledged lectal dimension in theoretical frameworks advocating a usage-based methodology, such as construction grammar. [ABSTRACT FROM AUTHOR]

This article discusses a corpus-based method for the automatic identification of synonyms across different varieties of the same language. This method, based on the paradigm of distributional semantics, quantifies semantic similarity on the basis of contextual similarity in two comparable corpora. In two case studies for Dutch and German, we show that it automatically identifies the correct synonym for 31% and 25% of the target words, respectively. A manual error analysis moreover indicates that many additional synonyms are very close in the distributional model, while most other distributional neighbours are semantically related to the target word along other dimensions than synonymy. On the basis of these results, we argue that distributional-semantic methods can play a crucial role in the further evolution of corpus-based lexical semantics to a more quantitative discipline. [ABSTRACT FROM AUTHOR]

This paper presents a multifactorial quantitative corpus-based analysis of the distribution of English-only ads in the Low Countries. The dataset consists of approximately one thousand job ads, published in Vacature (a Belgian Dutch job ad magazine) and Intermediair (a Netherlandic Dutch job ad magazine) in 2007 and 2008. About one in seven ads are written entirely in English. Using logistic regression analysis, we find that the occurrence of English-only advertising is mainly linked to occupational contexts where English plays a practical role: the phenomenon is typical for companies with headquarters located outside of the Low Countries (specifically US/UK-based companies), for companies with English-oriented corporate communication and for companies that are recruiting for IT and technical staff. Finally, more English-only ads are published in Flanders than in The Netherlands. [ABSTRACT FROM AUTHOR]

As repositories of spontaneously realized language, corpora generally have an uncontrolled and unbalanced structure where all variables operate simultaneously. Consequently, a variable's real effect can be concealed when studied in isolation because of the exclusion of the impact of other potentially confounding variables. Analyzing a variational case study, the alternation between inflected and uninflected attributive adjectives in Dutch, it will be demonstrated how confounding variables alter the impact of explanatory variables on the response variable, resulting in spurious effects in the bivariate analyses. Multiple Correspondence Analysis will be used as a heuristic tool to unveil the association patterns between explanatory variables in the data matrix which induce the spurious effects. Based on these findings, we will argue for a thorough analysis of the database patterns to gain insight in the underlying associations between explanatory variables before modeling their real impact on the response variable in a multivariate model. [ABSTRACT FROM AUTHOR]

This paper presents an innovative approach, within the framework of distributional semantics, for the exploration of semantic similarity in a technical corpus. In complement to a previous quantitative semantic analysis conducted in the same domain of machining terminology, this paper sets out to discover finegrained semantic distinctions in an attempt to explore the semantic heterogeneity of a number of technical items. Multidimensional scaling analysis (MDS) was carried out in order to cluster first-order co-occurrences of a technical node with respect to shared second-order and third-order co-occurrences. By taking into account the association values between relevant first and second-order co-occurrences, semantic similarities and dissimilarities between first-order co-occurrences could be determined, as well as proximities and distances on a graph. In our discussion of the methodology and results of statistical clustering techniques for semantic purposes, we pay special attention to the linguistic and terminological interpretation. [ABSTRACT FROM AUTHOR]

Although the aggregation of many linguistic variables has provided new insights into the structure of language varieties, aggregation studies have been criticized for obscuring the behavior of individual input variables. Previous solutions to this criticism consisted of extensive post-hoc calculations, simple correlation measures, or highly complex algorithms. We think that these solutions can be improved. Therefore, the current article proposes a creative use of Individual Differences Scaling (INDSCAL) as an alternative, more straightforward solution. INDSCAL is a branch of Multidimensional Scaling, which is currently the preferred dimension reduction technique for most aggregation studies. The link to the existing methodology and the simplicity of its rationale are the main advantages of INDSCAL. The article introduces INDSCAL by means of a non-linguistic example, a discussion of the mathematical properties, and a case study on the lexical convergence between Belgian and Netherlandic Dutch in a corpus of language from 1950 and 1990. The case study shows how INDSCAL reproduces the results of a typical aggregation study, but elegantly keeps open the possibility of investigating the behavior of individual variables. [ABSTRACT FROM AUTHOR]

Copyright of Diachronica is the property of John Benjamins Publishing Co. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Since the 1960s, language attitude research has known little methodological innovation. In social psychology, by contrast, a number of new implicit attitude measures have recently been developed. We suggest to take inspiration from social psychology to bring new methods to linguistic attitude research. In this paper, we give a succinct introduction to quantitative implicit attitude research in linguistics and social psychology. As an illustration of the new methods developed in the latter, we discuss the Implicit Association Test (Greenwald et al. 1998) and its potential for linguistic attitude research. [ABSTRACT FROM AUTHOR]

This paper explores two tools and methods for keyword extraction. As several tools are available, it makes a comparison of two widely used tools, namely Lexico3 (Lamalle et al. 2003) and WordSmith Tools (Scott 2013). It shows the importance of keywords and discusses recent studies involving keyword extraction. Since no previous study has attempted to compare two different tools, used by different language communities and which use different methodologies to extract keywords, this paper aims at filling the gap by comparing not only the tools and their practical use, but also the underlying methodologies and statistics. By means of a comparative study on a small test corpus, this paper shows major similarities and differences between the tools. The similarities mainly concern the most typical keywords, whereas the differences concern the total number of significant keywords extracted, the granularity of both probability value and typicality coefficient and the type of the reference corpus. [ABSTRACT FROM AUTHOR]

The world-wide spread of English is one of the most visible symptoms of globalization. In weak contact settings such as Western Europe, where contact with English is usually indirect, remote and asymmetrical, the English language started diffusing at a hitherto unknown rate in the second half of the twentieth century. Crucially, this diffusion happens at two different levels. First, on the macro-level, English is more and more used as a language of (international) communication. Second, on the micro-level, English is intruding in local languages, most notably by means of lexical borrowing. So far, the macro- and micro-level of linguistic influence are hardly ever linked or simultaneously studied. Nevertheless, as will be shown in this paper, it is interesting to investigate whether a connection between both levels exists. Specifically, we present a quantitative multivariate comparison of the features underlying the choice for English at both levels of analyses, using a diachronic corpus of over 16 000 job ads published in two Dutch job ad magazines. On the macro-level, we verify what communicative and situational parameters (e.g., branch of industry of the recruiter) determine the choice for and distribution of ads written entirely in English. On the micro-level, we verify the impact of the same set of parameters on the choice for inserting English elements in ads where Dutch is the matrix language. Using two multiple logistic regression models, we can verify to which extent the mechanisms underlying language choice at both levels are different. Results show that a large difference exists in the basic proportion of English at both levels, but that quite some similarities in the distribution of English are found when zooming in on the specific parameters underlying language choice. As such, this paper advocates to perceive of the different manifestations of the spread of English as part of a continuum, rather than as isolated phenomena. Hence, we hope to provide a first step in bridging the theoretical and methodological gap between the ELF paradigm and anglicism research. [ABSTRACT FROM AUTHOR]

The paper demonstrates how verb and noun classes can be used as a common interface in contrastive Construction Grammar. It presents an innovative approach to the contrastive analysis of constructional spaces (sets of construc-tions covering a certain semantic domain). We compare English and Dutch ana-lytic causatives by using the statistical technique of multiple correspondence analysis applied to data from large monolingual corpora. The method allows us to explore the common conceptual space of the constructions, in particular the sa-lient semantic dimensions and causation types, which emerge on the basis of co-occurring semantic classes of the nominal and verbal slot fillers in construc-tional exemplars. The formal patterns of the constructions at different levels of specificity are projected onto this space. Our analyses show that an average Dutch analytic causative refers to more indirect and abstract causation with fewer ani-mate than its English counterpart. We have also found that the languages "cut" the common conceptual space in unique ways, although the semantic areas of many English and Dutch constructions overlap substantially. Nevertheless, the form-meaning mapping in the two languages displays commonalities. Both English and Dutch constructions with prepositionally marked or implicit causees are strongly associated with animate causees. We have also observed a correla-tion between the directness of causation and the crosslinguistic hierarchy of affectedness marking proposed by Kemmer and Verhagen (1994). [ABSTRACT FROM AUTHOR]

Abstract: In this cognitive sociolinguistic study, we aim to examine automatically activated language attitudes and to map the affective representation of language-internal variation in Dutch. We do so by applying the affective priming paradigm, an experimental-cognitive paradigm in which participants are typically faster to respond to affectively polarized target stimuli that are preceded by affectively congruent prime stimuli than affectively polarized target stimuli that are preceded by affectively incongruent prime stimuli. Specifically, we carried out an auditory affective priming experiment in which auditory word stimuli, recorded in both standard and regiolectal varieties of Dutch, were used as primes. Our findings suggest that intralingually accented Dutch words are evaluated in an automatic fashion, irrespective of their semantic meaning. [Copyright &y& Elsevier]

This paper introduces a new, concept-based method for measuring variation in the use and success of loanwords by presenting the results of a case-study on 149 English person reference nouns (i.e. common nouns used to designate people, such as manager) in Dutch. With this paper, we introduce four methodological improvements to current quantitative corpus-based anglicism research, based on the general tenets of Cognitive Sociolinguistics (Geeraerts 2005; Kristiansen and Geeraerts 2007; Geeraerts 2010; Geeraerts et al. 2010): (1) replacing raw frequency as a success measure by a concept-based onomasiological approach; (2) relying on larger datasets and semi-automatic extraction techniques; (3) adding a multivariate perspective to the predominantly structuralist orientation of current accounts; (4) using inferential statistical techniques to help explain variation. We illustrate our method by presenting a case-study on variation in the success of English person reference nouns in Dutch. Generally, this article aims to show how a Cognitive Sociolinguistic perspective on loanword research is beneficial for both paradigms. On the one hand, the concept-based approach provides new insights in the spread of loanwords. On the other hand, attention to contact linguistic phenomena offers a new expansion to the domain of cognitive linguistic studies taking a variationist approach. [ABSTRACT FROM AUTHOR]