This study puts the usage-based assumption that our linguistic knowledge is based on usage to the test. To do so, we explore individual variation in speakers’ language use as established based on corpus data – both in terms of frequency of use and productivity of use – and link this variation to the same participants’ responses in an experimental judgment task. The empirical focus is on transfer by native German speakers living in the Netherlands, who oftentimes experience transfer (...) from their second language Dutch to their native language German regarding the placement of prepositional phrases. The analyses show a large amount of variation in both the corpus and experimental data with a strong link across data types: individual speakers’ usage – but not the usage by other speakers – is a significant predictor for the speakers’ judgments. These results strongly suggest that, in line with a usage-based approach, variation between speakers in experimental tasks is linked to their variation in usage. At the same time, such usage-based predictions do not explain all of the variation, suggesting that other individual factors are also at play in such experimental tasks. (shrink)

The VIDAS data set presents data from 200 participants from different countries and language backgrounds. They completed an oral expression and interaction test in the context of a Spanish certification exam for adult migrants. The aim of the VIDAS data set is to provide researchers in psycholinguistics and second language acquisition with a Spanish spoken corpus of traditionally marginalized and underrepresented learners, providing a compelling data set of oral interactions by migrants and refugees. The (...) class='Hi'>corpus contains more than 29 h of recordings of the oral interactions of the participants with trained interviewers, as well as background information about the participants. It furthermore contains the scores obtained by the participants in the oral expression and interaction exam. The VIDAS corpus allows for the development of studies on L2 spoken language comprehension and processing, as well as for comparative analyses of language acquisition between different L1 groups at different linguistic levels. (shrink)

Cognitive architectures have often been applied to data from individual experiments. In this paper, I develop an ACT-R reader that can model a much larger set of data, eye-tracking corpus data. It is shown that the resulting model has a good fit to the data for the considered low-level processes. Unlike previous related works, the model achieves the fit by estimating free parameters of ACT-R using Bayesian estimation and Markov-Chain Monte Carlo techniques, rather than by (...) relying on the mix of manual selection + default values. The method used in the paper is generalizable beyond this particular model and data set and could be used on other ACT-R models. (shrink)

We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. This paper addresses the issues of learning structured knowledge from a large-scale natural language data set, and of generalization to unseen text. The implemented algorithm represents sentences as paths on a graph whose vertices are words. Significant patterns, determined by recursive context-sensitive statistical inference, form new vertices. Linguistic constructions are represented by trees composed of significant (...) patterns and their associated equivalence classes. An input module allows the algorithm to be subjected to a standard test of English as a Second Language profi- ciency. The results are encouraging: the model attains a level of performance considered to be “intermediate” for 9th-grade students, despite having been trained on a corpus containing transcribed speech of parents directed to small children. (shrink)

Despite the large number of studies conducted on polysemy, they mostly compare the different methods and techniques to learn a language and establish the extent to which particular sense relations facilitate the learning of second language vocabulary. To our best knowledge, no research has been conducted to determine whether or not polysemy is emphasized in non-native English textbooks. The objective of the present research was to determine the degree to which polysemy is incorporated in English textbooks. Thus, the research question (...) guiding the current study is: To what extent is polysemy incorporated in non-native English textbooks? The study is corpus-based research that used a data set of 500 words, i.e., 250 words from each of the two books, utilizing the Sketch Engine word list tool and concordance. The polysemy of the resulting words in the concordance lines generated was semantically annotated manually using WordNet and English dictionaries. The results indicated that polysemy is barely stressed in the textbooks under investigation. The study’s results have substantial implications for polysemy in particular and second or foreign language teaching in general. (shrink)

Background:Data representing people’s behaviour, attitudes, feelings and relationships are increasingly being harvested from social media platforms and re-used for research purposes. This can be ethically problematic, even where such data exist in the public domain. We set out to explore how the academic community is addressing these challenges by analysing a national corpus of research ethics guidelines and published studies in one interdisciplinary research area.Methods:Ethics guidelines published by Research Councils UK, its seven-member councils and guidelines cited within (...) these were reviewed. Guidelines referring to social media were classified according to published typologies of social media research uses and ethical considerations for social media mining. Using health research as an exemplar, PubMed was searched to identify studies using social media data, which were assessed according to their coverage of ethical considerations and guidelines.Results:Of the 13 guidelines published or recom... (shrink)

In serial verb constructions (SVCs), multiple independent lexical verbs are combined in a mono-clausal construction. SVCs express a range of grammatical meanings and are attested in numerous spoken languages all around the world. Yet, to date only few studies have investigated the existence and functions of SVCs in sign languages. For the most part, these studies – including a previous study on Sign Language of the Netherlands (NGT) – relied on elicited data. In this article, we offer a cross-modal (...) typological contribution to the study of SVCs by investigating the phenomenon based on naturalistic corpus data from NGT. A search of the Corpus NGT yielded 41 mono-clausal utterances in which one of a closed set of verbs – namely GO, GIVE, TAKE, and CALL – combines with another lexical verb. While the combinations we found are in important respects reminiscent of SVCs described for spoken languages, our data also confirm the previous finding that the fixed verb in the SVC serves to express agreement (by means of spatial modulation) when the other verb cannot do so. In addition, we identified some novel uses of the verbs GO and GIVE: (i) GO functioning as a future tense marker and (ii) GIVE functioning as a light verb. We will also discuss aspects of the grammaticalization of SVCs in NGT: from lexical verb to light verb to auxiliary, again offering some comparison to grammaticalization paths described for spoken languages. (shrink)

From Wodehouse to the White House: A Corpus-Assisted Study of Play, Fantasy and Dramatic Incongruity in Comic Writing and Laughter-Talk In this paper I consider two discourse types, one written and literary, the other spoken and semi-conversational, in an attempt to discover if there are any similarities in the ways in which humour is generated in such apparently diverse forms of communication. The first part of the paper is concerned with the explicitly comic prose of P. G. Wodehouse, whilst (...) in the second part of the paper, we investigate the laughter-talk, defined as the talk preceding and provoking, intentionally or otherwise, an episode of laughter, occurring during press briefings held at the White House during the Clinton era and the subsequent Bush administration. Both studies, by employing corpus analysis techniques together with detailed discourse reading, integrate quantitative and qualitative approaches to the respective data sets. (shrink)

In August 2021, Froese et al. published survey data collected from 2,543 respondents on their subjective experiences living under imposed social distancing measures during COVID-19 (1). The questionnaire was issued to respondents in the UK, Japan, and Mexico. By combining the authors’ expertise in phenomenological philosophy, phenomenological psychopathology, and enactive cognitive science, the questions were carefully phrased to prompt reports that would be useful to phenomenological investigation and theorizing (2–4). These questions reflected the various author’s research interests (e.g., technology, (...) grief, time). Between April 7th and July 31st, 2021, a second questionnaire with the same question set was issued to respondents of the original who had agreed to do a follow-up. This was intended to capture subjective reports of life under social distancing measures a year after the initial survey. By this time–depending on their country of residence and health status–respondents had potentially lived with repeated and prolonged lockdowns and a variety of other restrictions on their social lives. When taken together, Survey I and Survey II provide a cross-cultural and longitudinal dataset that allows for analysis of longer-term impacts of imposed social distancing measures on people’s experiences. For researchers working in diverse disciplines, this dataset offers a rich resource that reflects people’s reactions to the imposition of different social restrictions in different countries and over different time periods. (shrink)

The current study represents an integrated model of explicit and implicit offensive language taxonomy. First, it focuses on a definitional revision and enrichment of the explicit offensive language taxonomy by reviewing the collection of available corpora and comparing tagging schemas applied there. The study relies mainly on the categories originally proposed by Zampieri et al. (2019) in terms of offensive language categorization schemata. After the explanation of semantic differences between particular concepts used in the tagging systems and the analysis of (...) theoretical frameworks, a finite set of classes is presented, which cover aspects of offensive language representation along with linguistically sound explanations (Lewandowska-Tomaszczyk et al. 2021). In the analytic procedure, offensive from non-offensive discourse is first distinguished, with the question of offence Target and the following categorization levels and sublevels. Based on the relevant data generated from Sketch Engine (https://www.sketchengine.eu/ententen-english-corpus/), we propose the concept of offensive language as a superordinate category in our system with a number of hierarchically arranged 17 subcategories. The categories are taxonomically structured into 4 levels and verified with the use of neural-based (lexical) embeddings. Together with a taxonomy of implicit offensive language and its subcategorization levels which has received little scholarly attention until now, the categorization is exemplified in samples of offensive discourses in selected English social media materials, i.e., publicly available 25 web-based hate speech datasets (consult Appendix 1 for a complete list). The offensive category levels (types of offence, targets, etc.) and aspects (offensive language property clusters) as well as the categories of explicitness and implicitness are discussed in the study and the computationally verified integrated explicit and implicit offensive language taxonomy proposed in the study. (shrink)

Public discourse about the COVID-19 that appears on Twitter and other social media platforms provides useful insights into public concerns and responses to the pandemic. However, acknowledging that public discourse around COVID-19 is multi-faceted and evolves over time poses both analytical and ontological challenges. Studies that use text-mining approaches to analyse responses to major events commonly treat public discourse on social media as an undifferentiated whole, without systematically examining the extent to which that discourse consists of distinct sub-discourses or which (...) phases characterize its development. They also confound structured behavioural data with unstructured user-generated data in their sampling methods. The present study aims to demonstrate how one might go about addressing both of these sets of challenges by combining corpus linguistic methods with a data-driven text-mining approach to gain a better understanding of how the public discourse around COVID-19 developed over time and what topics combine to form this discourse in the Australian Twittersphere over a period of nearly four months. By combining text mining and corpus linguistics, this study exemplifies how both approaches can complement each other productively. (shrink)

BackgroundThe past 10 years have witnessed a significant growth in sharing of health data for secondary uses. Alongside this there has been growing interest in the public acceptability of data sharing and data linkage practices. Public acceptance is recognised as crucial for ensuring the legitimacy of current practices and systems of governance. Given the growing international interest in this area this systematic review and thematic synthesis represents a timely review of current evidence. It highlights the key factors (...) influencing public responses as well as important areas for further research.MethodsThis paper reports a systematic review and thematic synthesis of qualitative studies examining public attitudes towards the sharing or linkage of health data for research purposes. Twenty-five studies were included in the review. The included studies were conducted primarily in the UK and North America, with one study set in Japan, another in Sweden and one in multiple countries. The included studies were conducted between 1999 and 2013. The qualitative methods represented in the studies included focus groups, interviews, deliberative events, dialogue workshops and asynchronous online interviews.ResultsKey themes identified across the corpus of studies related to the conditions necessary for public support/acceptability, areas of public concern and implications for future research. The results identify a growing body of evidence pointing towards widespread general—though conditional—support for data linkage and data sharing for research purposes. Whilst a variety of concerns were raised in cases where participants perceived there to be actual or potential public benefits from research and had trust in the individuals or organisations conducting and/or overseeing data linkage/sharing, they were generally supportive. The studies also find current low levels of awareness about existing practices and uses of data.ConclusionsWhilst the results indicate widespread public support for data sharing and linkage for research purposes, a range of concerns exist. In order to ensure public support for future research uses of data greater awareness raising combined with opportunities for public engagement and deliberation are needed. This will be essential for ensuring the legitimacy of future health informatics research and avoiding further public controversy. (shrink)

Awjila Berber is a highly endangered Berber variety spoken in eastern Libya. The minimal material available on it reveals that the language is in some respects very archaic and in others grammatically unique, and as such is of particular comparative and historical interest. Fieldwork has been impossible for decades due to the political situation. Recently, however, several inhabitants of Awjila have set up a Facebook group Ašal=ənnax (“our village”), posting largely in Awjili. Analysis of this partly conversational corpus makes (...) it possible to extend our knowledge of the language, yielding unattested words and constructions. Examination of its grammatical features also reveals that these posters’ usage is heavily influenced by Arabic, showing language attrition absent from earlier data; even subject-verb agreement has been extensively reworked. In both respects, this study casts light upon the uses and limits of social media as a source of linguistic material. (shrink)

People with early-to-mid stage dementia frequently attend groups that provide opportunities for socialising and engaging in group activities, such as quizzes. This article uses conversation analysis to investigate the interactional strategies that the staff use to initiate and keep these quizzes ‘on track’, and what they orient to as impediments and facilitators of quiz progression. Specifically, we outline how staff deal with incorrect or ‘non-answers’, and what happens when players have their own goals or ‘projects’ that do not align with (...) staff members’ orientations to the overarching activity completion. We reflect on the tensions that arise between doing interactional work to progress through the quiz, and how that goal can conflict with attending to the needs or wishes expressed by the person living with dementia, potentially resulting in threats to the ‘face’ of the quiz players. Data are taken from a corpus of 10 quizzes recorded in 4 different group settings in England. (shrink)

Harmful and dangerous language is frequent in social media, in particular in spaces which are considered anonymous and/or allow free participation. In this paper, we analyse the language in a Telegram channel populated by followers of Donald Trump, in order to identify the ways in which harmful language is used to create a specific narrative in a group of mostly like-minded discussants. Our research has several aims. First, we create an extended taxonomy of potentially harmful language that includes not only (...) hate speech and direct insults, but also more indirect ways of poisoning online discourse, such as divisive speech and the glorification of violence. We apply this taxonomy to a large portion of the corpus. Our data gives empirical evidence for harmful speech such as in/out-group divisive language and the use of codes within certain communities which have not often been investigated before. Second, we compare our manual annotations to several automatic methods of classifying hate speech and offensive language, namely list based and machine learning based approaches. We find that the Telegram data set still poses particular challenges for these automatic methods. Finally, we argue for the value of studying such naturally occurring, coherent data sets for research on online harm and how to address it in linguistics and philosophy. (shrink)

This paper provides a new account of positive versus negative antonyms. The data includes well-known linguistic generalizations regarding negative adjectives, such as their incompatibility with measure phrases (cf. two meters tall/ *short) and ratio phrases (twice as tall/ #short) as well as the impossibility of truly crosspolar comparisons (*Dan is taller than Sam is short). These generalizations admit a variety of exceptions, e.g., positive adjectives that do not license measure phrases (cf. #two degrees warm/cold) and rarely also negative adjectives (...) that do (cf. two hours late/early). Furthermore, new corpus data is presented regarding the use of twice with positive and negative adjectives. The analysis the paper presents supposes that grammar associates gradable adjectives with measure functions—mapping of entities to a set of degrees isomorphic to the real numbers (Kennedy, Projecting the adjective: The syntax and semantics of gradability and comparison, 1999). On this analysis, negative adjectives map entities to values that are linearly reversed and linearly transformed in comparison with their values in the positive antonyms. As shown, the generalizations, as well as their exceptions, directly follow. Negative polarity is explained in terms of function reversal, and non-licensing of measure phrases is explained in terms of transformation by an unspecified value. (shrink)

Previous research has established that the success of strikes, and social movements more broadly, depends on their ability to garner support from the public. However, there is scant published research investigating the response of the public to strike action by healthcare workers. In this study, we address this gap through a study of public responses to UK nursing strikes in 2022–2023, using a data set drawn from Twitter of more than 2300 publicly available tweets. We focus on negative tweets, (...) investigating which societal discourses social media users draw on to oppose strike action by nurses. Using a combination of corpus‐based approaches and discourse analysis, we identified five categories of opposition: (i) discourse discrediting nurses; (ii) discourse discrediting strikes by nurses; (iii) discourse on the National Health System; (iv) discourse about the fairness of strikers' demands and (v) discourse about potential harmful impact. Our findings show how social media users operationalise wider societal discourses about the nursing profession (e.g., associations with care, gender, vocation and sacrifice) as well as recent crises such as the Covid‐19 pandemic to justify their opposition. The results also provide valuable insights into misconceptions about nursing, strike action and patient harm, which can inform strategies for public communication. (shrink)

Although existing scholarship offers critical insights into the working mechanisms of project-based research funding, little is known about the actual practice of writing grant proposals. Our study seeks to add a longitudinal dimension to the ongoing debate on the implications of competitive research funding by focusing on the incremental adjustment of the funder/fundee relationship around a common discursive practice that consists in describing and evaluating research projects: How has the perception of what constitutes a legitimate funding claim changed over time (...) and why? By investigating the normative framework enacted in the justification strategies of applicants, we shed light on the historical coevolution of the increasing competition for project funding, the epistemic culture of applicants, and grant writing rhetoric. To do this, we mobilize a comprehensive data set consisting of archival data from Europe’s oldest and largest funding agency, the Deutsche Forschungsgemeinschaft, as well as a corpus of 80 successful grant proposals written between 1975 and 2005. We find that the 1990s mark an important normative consolidation of what we consider to be a legitimate funding claim: Ensuring the success of the project and the project’s results becomes a major concern in applicant rhetoric. This time period coincides with a substantive rise in the level of competition for project funding. Yet, even though justification strategies might seem to address the same issues in grant proposals across the disciplines under investigation, the normative framework to which applicants refer differs according to the applicant’s epistemic culture. (shrink)

We describe a method for automatic word sense disambiguation using a text corpus and a machine- readable dictionary (MRD). The method is based on word similarity and context similarity measures. Words are considered similar if they appear in similar contexts; contexts are similar if they contain similar words. The circularity of this definition is resolved by an iterative, converging process, in which the system learns from the corpus a set of typical usages for each of the senses of (...) the polysemous word listed in the MRD. A new instance of a polysemous word is assigned the sense associated with the typical usage most similar to its context. Experiments show that this method performs well, and can learn even from very sparse training data. (shrink)

This paper documents an important development in Robert Boyle's natural-philosophical method – his use from the 1660s onwards of ‘heads’ and ‘inquiries’ as a means of organizing his data, setting himself an agenda when studying a subject and soliciting information from others. Boyle acknowledged that he derived this approach from Francis Bacon, but he had not previously used it in his work, and the reason why it came to the fore when it did is not apparent from his printed (...) and manuscript corpus. It is necessary to look beyond Boyle to his milieu for the cause, in this case to the influence on him of the Royal Society. Whereas the Royal Society in its early years is often seen as putting into practice a programme pioneered by Boyle, this crucial methodological change on his part seems rather to have been stimulated by the society's early concern for systematic data-collecting. In this connection, it is here shown that a key text, Boyle's influential ‘General Heads for a Natural History of a Country, Great or small’, published in Philosophical Transactions in 1666, represents more of a shared initiative between him and the society than has hitherto been appreciated. (shrink)

It is a common view among philosophers of science that theoretical virtues (also known as epistemic or cognitive values), such as simplicity and consistency, play an important role in scientific practice. In this article, I set out to study the role that theoretical virtues play in scientific practice empirically. I apply the methods of data science, such as text mining and corpus analysis, to study large corpora of scientific texts in order to uncover patterns of usage. These patterns (...) of usage, in turn, might shed some light on the role that theoretical virtues play in scientific practice. Overall, the results of this empirical study suggest that scientists invoke theoretical virtues explicitly, albeit rather infrequently, when they talk about models (less than 30%), theories (less than 20%), and hypotheses (less than 15%) in their published works. To the extent that they are mentioned in scientific publications, the results of this study suggest that accuracy, consistency, and simplicity are the theoretical virtues that scientists invoke more frequently than the other theoretical virtues tested in this study. Interestingly, however, depending on whether they talk about hypotheses, theories, or models, scientists may invoke one of those theoretical virtues more than the others. (shrink)

Tactile emotion recognition provides a lot of valuable information in human-computer interaction, and it has strong application prospects in many aspects such as smart home and medical treatment. So this situation raises a question: How to quickly and efficiently let the robot perform the correct emotion recognition? In this work, we develop a lifelong learning algorithm which is based on the efficient dictionary learning technology, to tackle the tactile emotion recognition across different tasks. To verify the efficiency of the proposed (...) method, we applied it to two data sets for experimentation: Corpus of Social Touch (CoST) and our dataset(We built it with a 12X12 array sensor). The results show that the proposed lifelong learning algorithm achieves satisfactory results. (shrink)

Unlike previous studies which generally seem to focus more on Hausa metaphorical expressions, this study investigates a wide range of uses ofίdὸ‘eye’ in its constructional metonymy patterns in the language by exploring corpus data that contain over 300 eye-related expressions. We observe that some constructional metonymies maintain a set of fixed words and syntax in activating conceptual shifts and producing eye metonymies while others have semi-fixed patterns and produce the same metonymies. Lexical items liketsόkάlế,kὰn,ὰ,dὰ, andbὰsίrὰamong others are constant (...) constituents in the constructional metonymies in which they appear. In the metonymic chaining, the basic mapping of eye metonymies occurs via thepart for partrelation under E-metonymies and thesub- for supercategoryrelation under C-metonymies. We also observe that E→E→C coding has the highest chained metonymic structure in the creation of the eye metonymies. Both attributive and predicative colligates motivate metonymic senses in the language. Finally, our analysis reveals that the eye is metonymically conceptualized and semantically extended to various target domains and produces metonymic conceptualizations that make the eye stand for vision, desire, envy, control, attention, perception, person, meeting, brain, intelligence, and so on. (shrink)

In this paper, the pragmatic functions served by ḥāshāk and its variants in colloquial Algerian Arabic (CAA) are unravelled. Literally, ḥāshāk means “You’re exalted/exempt from X/I distance you from X,” where X is a bad thing or socially/religiously unacceptable act. Its variants include ḥāsha, ḥāshākem, ḥāshāh/ḥāshāha/ḥāshāhem, maḥashākesh, and the verb ḥāsha/ḥāshi. As far as the author is aware, this is the first study on the pragmatics of ḥāshāk and its variants in colloquial (Algerian) Arabic. Two complementary data sets (...) were collected and analyzed: an online survey administered to native speakers (N= 263) and a corpus of naturally occurring examples gained using an ethnographic method (N= 172). The findings indicated that the core semantic import (exaltative/excepting/exempting meaning) is retained in CAA and further extended to perform other pragmatic functions: apologetic, appreciative, requestive, concessive, critical, defensive, and sarcastic. These intertwined functions are expected in an array of highly conventionalized contexts. These findings were discussed from an eclectic perspective (e.g., pragmatic reversal, pragmatic markers, politeness theory, and rapport management). (shrink)

Summary Covert encoding is one of the strategies available to languages for the encoding of motion, in which, in accordance with the laws of Gestalt, the meaning of an expression encoding motion is not coincident with the mere sum of the meanings of each of its constitutive units, relying on the mediation of grammatical and co(n)text­established knowledge for its interpretability. Moving on from a data set gathered for a previous study and adopting a holistic, constructional approach, several strategies were (...) found in a diachronic corpus of Italian, French and Spanish for the covert encoding of motion in such languages, based on whether the motion­interpretation attributed to the covert construction is mediated by either linguistic or extralinguistic knowledge. The diachronic investigation also showed that the use of such patterns is diachronically consistent in frequency, thus proving that such patterns of interaction between language and cognition may be regarded as functional for speakers of all languages and time stages, also confirming that a holistic, constructional approach to language study can help shed light on linguistic–cognitive phenomena on the basis of language variation and change. (shrink)

E-Z Reader fits key parameters from one corpus of eye movement data, but has not really been tested with new data sets. More critically, it is argued that the key mechanism driving eye movements – a serial process involving a proportion of word recognition time – is implausible on the basis of a broad range of experimental findings.

In this paper, we set out to investigate the following question: if science relies heavily on induction, does philosophy of science rely heavily on induction as well? Using data mining and text analysis methods, we study a large corpus of philosophical texts mined from the JSTOR database (n = 14,199) in order to answer this question empirically. If philosophy of science relies heavily on induction, just as science supposedly does, then we would expect to find significantly more inductive (...) arguments than deductive arguments and abductive arguments in the published works of philosophers of science. Using indicator words to classify arguments by type (namely, deductive, inductive, and abductive arguments), we search through our corpus to find patterns of argumentation. Overall, the results of our study suggest that philosophers of science do rely on inductive inference. But induction may not be as foundational to philosophy of science as it is thought to be for science, given that philosophers of science make significantly more deductive arguments than inductive arguments. Interestingly, our results also suggest that philosophers of science do not rely on abductive arguments all that much, even though philosophers of science consider abduction to be a cornerstone of scientific methodology. (shrink)

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural-language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in (...) this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front—ranging from issues of generativity to the replication of human experimental findings—by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach. (shrink)

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural‐language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in (...) this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front—ranging from issues of generativity to the replication of human experimental findings—by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach. (shrink)

Context: Maturana’s published corpus is vast, and his publications span multiple venues, formats, and languages. For these and other reasons, the corpus is as complex as it is daunting in its scale. Problem: Over the last two decades, bibliographic data on Maturana’s publications had proliferated in terms of available resources, scope of coverage, and accessibility. However, as of 2011 the degree of accessibility was not matched by the inclusiveness, detail, and accuracy of the relatively few dedicated bibliographies (...) upon which most such resources relied. It had become time to update, consolidate, and better validate the core bibliographic data. Method: The five most comprehensive electronic bibliographies were merged and collated. The merged listing was then validated using the available evidence and a three-tiered set of evaluation criteria. Finally, the resultant merged and validated listing was augmented with previously unrecorded entries and data, subject to the same evidentiary constraints and evaluation criteria pertaining to the validation phase. Results: None of the five bibliographies in the starting set was comprehensive. All five contained ambiguities, missing details, discrepancies, and outright errors. The updated and consolidated listing presented here is the largest, most comprehensive, and most accurate compiled to date. Implications: The resultant bibliography offers a more complete and more reliable reference resource to both veteran Maturana scholars and newcomers to his work than previously existing bibliographies. (shrink)

This article sets out to define an approach to discourse that takes into account the characteristics of the phenomenon of social communication. First, the article examines different conceptions of discourse analysis such as `cognitive', `representational' and `communicational'. These distinctions are made using various criteria: definitions of the subject of analysis, the nature of the speaker, the corpus of data resulting from the discourse. This is followed by an examination of the types of competence that have to be (...) satisfied by speakers if they are to produce a speech act: for example, `situational', `discursive', `semantic' and `semiolinguistic competence'. The article then analyses how speakers stage their discourse, i.e. their consideration of the constraints of the communicative situation and their use of `discursive strategies'. The article concludes by demonstrating the necessity of relating the `communicative situation' to the `positioning' of the speaker. (shrink)

The “received wisdom” in contemporary analytic philosophy is that intuition talk is a fairly recent phenomenon, dating back to the 1960s. In this paper, we set out to test two interpretations of this “received wisdom.” The first is that intuition talk is just talk, without any methodological significance. The second is that intuition talk is methodologically significant; it shows that analytic philosophers appeal to intuition. We present empirical and contextual evidence, systematically mined from the JSTOR corpus and HathiTrust’s Digital (...) Library, which provide some empirical support for the second rather than the first hypothesis. Our data also suggest that appealing to intuition is a much older philosophical methodology than the “received wisdom” alleges. We then discuss the implications of our findings for the contemporary debate over philosophical methodology. (shrink)

We present the first large-scale, quantitative examination of mind and body concepts in a set of historical sources by measuring the predictions of folk mind–body dualism against the surviving textual corpus of pre-Qin (pre-221 BCE) China. Our textual analysis found clear patterns in the historically evolving reference of the word xin (heart/heart–mind): It alone of the organs was regularly contrasted with the physical body, and during the Warring States period it became less associated with emotions and increasingly portrayed as (...) the unique locus of “higher” cognitive abilities. We interpret this as a semantic shift toward a shared cognitive bias in response to a vast and rapid expansion of literacy. Our study helps test the proposed universality of folk dualism, adds a new quantitative approach to the methods used in the humanities, and opens up a new and valuable data source for cognitive scientists: the record of dead minds. (shrink)

Cognitive semantic studies have shown that our conceptualization of morality is at least partially metaphorical and that our moral cognition is grounded in some fundamental contrastive categories of our embodied experience in the physical environment. It is argued that our moral cognition is built on a moral metaphor system. Within the framework of conceptual metaphor theory, this study aims to examine the spatial subsystem of moral metaphors in English. We set out with five pairs of moral metaphors that involve the (...) following spatial source concepts: HIGH and LOW, UPRIGHT and TILTED, LEVEL and UNLEVEL, STRAIGHT and CROOKED, and BIG and SMALL. These metaphors were found to constitute the spatial subsystem of moral metaphors in Chinese. Our primary goal is to find out if the five pairs of moral–spatial metaphors are manifested in English as well. To that end we collected linguistic data from the Corpus of Contemporary American English and searched Google Images for multimodal evidence. Our finding is that the five pairs of moral–spatial metaphors are applicable in English as they are in Chinese. We also discuss issues related to conceptual metaphor theory. (shrink)

This article investigates the use of wolves to enchant the rationalization of Thompson Manitoba. The city attempted to refocus towards a more touristic economy based around the large wolf population in the surrounding regions. The paper also examines why this attempt at a tourist economy has not produced its intended results. I accomplish this by first discussing the McDonaldization and enchantment of the city. This discussion is framed through George Ritzer and Jeffery C. Alexander’s work. I then integrate Umwelt analysis (...) by focusing on Timo Maran’s Umwelt mapping to create a comparative approach in which wolf Umwelts within rationalized and enchanted settings can be compared to those in situ. I then make use of qualitative data analysis (QDA) to code a corpus of 50 articles from a local online newspaper that discuss the development of the tourism economy. Accordingly, I apply the theoretical perspectives mentioned to the QDA codes and themes. In the discussion section and conclusion of this paper, I note that wolf Umwelt was largely incompatible with the rationalizing system created within the city and that the use of wolves as enchantment relied on motifs of overly hyperreal intersubjectivity between humans and wolves. Consequently, collective representation regarding the tourist initiative was not constructed by this rationalization and enchantment. (shrink)

How do politicians engage with and offer to assist their constituents: the people who vote them into power? We address the question by analysing a corpus of 80 interactions recorded at the office of a Member of Parliament in the United Kingdom, and comprising telephone calls between constituents and the MP’s clerical ‘caseworkers’ as well as face-to-face encounters with MPs in their fortnightly ‘surgeries’. The data were transcribed, and then analysed using conversation analysis, focusing on the design and (...) placement of offers of assistance. We identified three types of offers within a longer ‘offering’ sequence: ‘proposal offers’, which typically appear first in any offering sequence, in which politicians and caseworkers make proposals to help their constituents using formats that request permission to do so, or check that the constituent does indeed want help ; ‘announcement offers’, which appear second, and indicate that something has been decided and confirm the intention to act and ‘request offers’, which appear third, and take for form ‘let me do X’. Request offers indicate that the offer is available but cannot be completed until the current conversation is closed; they also appear in environments in which the constituent reissues their problems and appears dissatisfied with the offers so far. The article contributes to what we know about making offers in institutional settings, as well as shedding the first empirical light on the workings of the constituency office: the site of engagement between everyday members of the public and their elected representatives. (shrink)

The aim of this paper is to demonstrate the applicability of multivariate mapping techniques to the exploration of the rhetorical semiotic brand image structure of ad films. By drawing on correspondence analysis and multidimensional scaling, two techniques that are amply used in corpus linguistics and in marketing research, but also on the data reduction technique of factor analysis, it will be displayed how a set of nuclear semes and classemes or an intended semic structure that underlies ad filmic (...) discursive structures may be projected alongside rhetorical figures by its internal stakeholders (i.e., a brand management team, an account planning team or a marketing research team) with view to attaining differential brand associations. The illustration of the exploratory analytical methods takes place by recourse to a corpus of 62 ad filmic texts from 13 sub-brands of the 3 major brands in the UK cereals market and 321 ad filmic segments that resulted from the segmentation procedure. This paper seeks to contribute to advancements in the brand image and advertising rhetoric research streams by addressing distinctive modes of advertising rhetorical configuration at the level of the ad filmic text (as against print ads where the bulk of research on advertising rhetoric has concentrated), and moreover on a segment-by-segment level, rather than treating the ad film as a standalone unit of analysis, by adopting a multimodal outlook to advertising configurations that takes into account not only the verbal or the visual mode, but also interactions among modes, by adopting a product category-specific approach to advertising/brand textuality that draws on rhetorical semiotics and by employing exploratory statistical methods against the background of content analytic output. (shrink)

We argue for a perspective on bilingual heritage speakers as native speakers of both their languages and present results from a large-scale, cross-linguistic study that took such a perspective and approached bilinguals and monolinguals on equal grounds. We targeted comparable language use in bilingual and monolingual speakers, crucially covering broader repertoires than just formal language. A main database was the open-access RUEG corpus, which covers comparable informal vs. formal and spoken vs. written productions by adolescent and adult bilinguals with (...) heritage-Greek, -Russian, and -Turkish in Germany and the United States and with heritage-German in the United States, and matching data from monolinguals in Germany, the United States, Greece, Russia, and Turkey. Our main results lie in three areas. We found non-canonical patterns not only in bilingual, but also in monolingual speakers, including patterns that have so far been considered absent from native grammars, in domains of morphology, syntax, intonation, and pragmatics. We found a degree of lexical and morphosyntactic inter-speaker variability in monolinguals that was sometimes higher than that of bilinguals, further challenging the model of the streamlined native speaker. In majority language use, non-canonical patterns were dominant in spoken and/or informal registers, and this was true for monolinguals and bilinguals. In some cases, bilingual speakers were leading quantitatively. In heritage settings where the language was not part of formal schooling, we found tendencies of register leveling, presumably due to the fact that speakers had limited access to formal registers of the heritage language. Our findings thus indicate possible quantitative differences and different register distributions rather than distinct grammatical patterns in bilingual and monolingual speakers. This supports the integration of heritage speakers into the native-speaker continuum. Approaching heritage speakers from this perspective helps us to better understand the empirical data and can shed light on language variation and change in native grammars. Furthermore, our findings for monolinguals lead us to reconsider the state-of-the art on majority languages, given recurring evidence for non-canonical patterns that deviate from what has been assumed in the literature so far, and might have been attributed to bilingualism had we not included informal and spoken registers in monolinguals and bilinguals alike. (shrink)

Previous research on the conversation analytic phenomenon of ‘repair’ has focused on its design and function in spoken interaction. Conversely, research on written text or writing rarely focuses on interaction. In this article, we examine repair in written discourse; specifically in online settings. The data corpus comprises one-to-one quasi-synchronous Facebook ‘chat’. First, we show that, as in spoken interaction, repair happens. This basic observation supports conversation analytic arguments that features of talk, like repair and laughter, do not ‘leak (...) randomly’ into interaction but are precision-timed and designed to accomplish action. Second, we report on two types of repair: visible repair which can be seen and oriented to by both participants in the interaction, and message construction repair, which is available only to the message’s writer. While the practice of message construction repair is made possible through the affordances of the online medium, it nevertheless shows how participants in written interaction are oriented to the same basic contingencies as they are in spoken talk: building sequentially organized courses of action and maintaining intersubjectivity. We suggest that assumptions about differences between spoken and online interaction are premature. Rather, we argue that online interaction should be treated as an adaptation of an oral speech-exchange system. (shrink)

Traditional document clustering algorithms consider text-based features such as unique word count, concept count, etc. to cluster documents. Meanwhile, event mining is the extraction of specific events, their related sub-events, and the associated semantic relations from documents. This work discusses an approach to event mining through clustering. The Universal Networking Language -based subgraph, a semantic representation of the document, is used as the input for clustering. Our research focuses on exploring the use of three different feature sets for event (...) clustering and comparing the approaches used for specific event mining. In our previous work, the clustering algorithm used UNL-based event semantics to represent event context for clustering. However, this approach resulted in different events with similar semantics being clustered together. Hence, instead of considering only UNL event semantics, we considered assigning additional weights to similarity between event contexts with event-related attributes such as time, place, and persons. Although we get specific events in a single cluster, sub-events related to the specific events are not necessarily in a single cluster. Therefore, to improve our cluster efficiency, connective terms between two sentences and their representation as UNL subgraphs were also considered for similarity determination. By combining UNL semantics, event-specific arguments similarity, and connective term concepts between sentences, we were able to obtain clusters for specific events and their sub-events. We have used 112 000 Tamil documents from the Forum for Information Retrieval Evaluation data corpus and achieved good results. We have also compared our approach with the previous state-of-the-art approach for Router-RCV1 corpus and achieved 30% improvements in precision. (shrink)

This article explores the metaphorical models English speakers employ in their understanding of transgenderism. Transgender is the term ascribed to those who have begun or completed a change in their sex characteristics from male to female or female to male. Using both qualitative and quantitative measures, I examine an archive of narrative data and a transition-specific corpus to show how spoken and written narrative support a spatially based representation of gender identity and transition. Two robust models are revealed (...) in the data, each carrying a set of suppositions consequential to how speakers understand their lived experience. I show how metaphor-evoking trigger lexemes relate to each model and can be used jointly to demonstrate conceptual salience. This investigation should be seen as part of an ever-growing body of research directed at revealing the unconscious assumptions, which organize speakers’ comprehension of complex topics with political relevance (cf. Charteris-Black, 2004; Lakoff, 2002,.. (shrink)

In this article I provide an account of the way in which the domain of spoken communication is metaphorically constructed in English, on the basis of the analysis of over 450 metaphorical references to speech activity in a corpus of contemporary written British English. I show how spoken communication is mainly structured via a set of source domains that conventionally apply to a wide variety of target domains, such as the source domains of MOTION, PHYSICAL TRANSFER, PHYSICAL CONSTRUCTION, and (...) PHYSICAL SUPPORT. Each of these source domains structures a particular aspect of speech activity, such as the achievement of communicative goals, the expression of meanings and ideas, the performance of speech acts, the negotiation of mutual relationships, and so on. I suggest that the particular conceptual mappings that underlie the main patterns in my data are best seen in terms of Grady's (1997) notion of primary metaphors, that is, as simple, basic mappings that have a firm experiential basis and that apply to a wide range of different areas of experience (e.g., "HELP/ASSISTANCE IS SUPPORT"). However, I also show that the main primary metaphors involved in structuring the domain of speech activity can be combined into a single overall physical scenario in which interactants can move in different directions, place themselves in different positions in relation to each other, come into contact with each other in different ways, physically produce texts/utterances/speech acts, physically pass texts/utterances/speech acts to each other, and make meanings visible to each other in different ways. Finally, I argue that a corpus-based methodology has much to offer to metaphor research, particularly in the extrapolation of conceptual metaphors from linguistic data. (shrink)

An important element of Natural Language Processing is parts of speech tagging. With fine-grained word-class annotations, the word forms in a text can be enhanced and can also be used in downstream processes, such as dependency parsing. The improved search options that tagged data offers also greatly benefit linguists and lexicographers. Natural language processing research is becoming increasingly popular and important as unsupervised learning methods are developed. There are some aspects of the Albanian language that make the creation of (...) a part-of-speech tag set challenging. This research provides a discussion of those issues linguistic phenomena and presents a proposal for a part-of-speech tag set that can adequately represent them. The corpus contains more than 250,000 tokens, each annotated with a medium-sized tag set. The Albanian language’s syntagmatic aspects are adequately represented. Additionally, in this paper are morphologically and part-of-speech tagged corpora for the Albanian language, as well as lemmatize and neural morphological tagger trained on these corpora. Based on the held-out evaluation set, the model achieves 93.65% accuracy on part-of-speech tagging, The morphological tagging rate was 85.31 % and the lemmatization rate was 88.95%. Furthermore, the TF-IDF technique weighs terms and with the scores are highlighted words that have additional information for the Albanian corpus. (shrink)

Appellate Court Modifications Extraction consists of, given an Appellate Court decision, identifying the proposed modifications by the upper Court of the lower Court judge’s decision. In this work, we propose a system to extract Appellate Court Modifications for Portuguese. Information extraction for legal texts has been previously addressed using different techniques and for several languages. Our proposal differs from previous work in two ways: our corpus is composed of Brazilian Appellate Court decisions, in which we look for a set (...) of modifications provided by the Court; and to automatically extract the modifications, we use a traditional Machine Learning approach and a Deep Learning approach, both as alternative solutions and as a combined solution. We tackle the Appellate Court Modifications Extraction task, experimenting with a wide variety of methods. In order to train and evaluate the system, we have built the KauaneJunior corpus, using public data disclosed by the Appellate State Court of Rio de Janeiro jurisprudence database. Our best method, which is a Bidirectional Long Short-Term Memory network combined with Conditional Random Fields, obtained an \ score of 94.79%. (shrink)

This study aims to examine key attributes affecting Airbnb users' satisfaction and dissatisfaction through the analysis of online reviews. A corpus that comprises 59,766 Airbnb reviews form 27,980 listings located in 12 different cities is analyzed by using both Latent Dirichlet Allocation and supervised LDA approach. Unlike previous LDA based Airbnb studies, this study examines positive and negative Airbnb reviews separately, and results reveal the heterogeneity of satisfaction and dissatisfaction attributes in Airbnb accommodation. In particular, the emergence of the (...) topic “guest conflicts” in this study leads to a new direction in future sharing economy accommodation research, which is to study the interactions of different guests in a highly shared environment. The results of topic distribution analysis show that in different types of Airbnb properties, Airbnb users attach different importance to the same service attributes. The topic correlation analysis reveals that home like experience and help from the host are associated with Airbnb users' revisit intention. We determine attributes that have the strongest predictive power to Airbnb users' satisfaction and dissatisfaction through the sLDA analysis, which provides valuable managerial insights into priority setting when developing strategies to increase Airbnb users' satisfaction. Methodologically, this study contributes by illustrating how to employ novel approaches to transform social media data into useful knowledge about customer satisfaction, and the findings can provide valuable managerial implications for Airbnb practitioners. (shrink)

Do ubiquitous modes of thought (types of analysis, types of argumentation) pervade the entire corpus of the Rabbinic writings of late antiquity and impart coherence to those diverse documents? Here are the results of a systematic probe of representative Halakhic and Aggadic documents in search of the answer to that question. The result is limited but one-sided: the answer is yes, they do. The inquiry proves urgent, because the bases for supposing the Rabbinic documents coalesce have diminished, and the (...) differences between and among the respective documents have made their mark. The book asks whether, however diverse, all of the documents conform to a single, determinate program of [1] analysis and [2] argumentation. Do they raise in common a set of questions that are ubiquitous, and do they pursue a uniform inquiry, whatever the data subject to study? Further, does a single protocol of argumentation dictate the means by which analytical propositions are advanced and tested? If they do, then Rabbinic Judaism finds coherence in shared intellectual traits. These, then, would serve to define the foundations for the construction of all components into the Rabbinic system and structure. (shrink)

The ‘New Apuleius’ is a set of Latin summaries of Plato's works first published in 2016 by Justin Stover, who attributed it to Apuleius. The present article attempts to assess two key aspects of Stover's argument, viz. his reconstruction of the manuscript transmission of the new text and his use of computer-assisted stylometric techniques. The authors suggest that both strands of his argument are inconclusive. First, it is argued that the transposition of gatherings in the archetype of the Apuleian philosophica (...) as envisaged by Stover is highly unrealistic. Second, replications of Stover's stylometric experiments show that their results are highly dependent on the particular algorithm settings and on the composition of the corpus. It is further shown that Stover's choice of highly specialized stylometric techniques is suboptimal, because popular generalist methods for statistical data analysis are demonstrably more successful in correctly identifying authors of Latin text fragments and do not support the case for Apuleius’ authorship of the new text. The authors conclude that there are no solid grounds to conclude that the ‘New Apuleius’ was indeed written by Apuleius. (shrink)

In recent decades, the analysis of phraseology has made use of the exploration of large corpora as a source of quantitative information about language. This paper intends to present the main lines of work in progress based on this empirical approach to linguistic analysis. In particular, we focus our attention on some problems relating to the morpho-syntactic annotation of corpora. The CORIS/CODIS corpus of contemporary written Italian, developed at CILTA – University of Bologna (Rossini Favretti 2000; Rossini Favretti, Tamburini, (...) De Santis in press), is a synchronic 100-million-word corpus and is being lemmatised and annotated with part-of-speech (POS) tags, in order to increase the quantity of information and improve data retrieval procedures (Tamburini 2000). The aim of POS tagging is to assign each lexical unit to the appropriate word class. Usually the set of tags is pre-established by the linguist, who uses his/her competence to identify the different word classes. The very first experiments we made revealed how the traditional part-of-speech distinctions in Italian (generally based on morphological and semantic criteria) are often inadequate to represent the syntactic features of words in context. It is worth noting that the uncertainties in categorisation contained in Italian grammars and dictionaries reflect a growing difficulty as they move from fundamental linguistic classes, such as nouns and verbs, to more complex classes, such as adverbs, pronouns, prepositions and conjunctions. This latter class, that groups together elements traditionally used to express connections between sentences, appears inadequate when describing cohesive relations in Italian. This phenomenon actually seems to involve other elements traditionally assigned to different classes, such as adverbs, pronouns and interjections. Recent studies proposed the class of ‘connectives’, grouping all words that, apart from their traditional word class, have the function of connecting phrases and contributing to textual cohesion. From this point of view, conjunctions can be considered as part of phrasal connectives, that can in turn be included in the wider category of textual connectives. The aim of this study is to identify elements that can be included in the class of phrasal connectives, using quantitative methods. According to Shannon and Weaver’s (1949) observation that words are linked by dependent probabilities, corroborated by Halliday’s (1991) argument that the grammatical “system” (in Firth’s sense of the term) is essentially probabilistic, quantitative data are introduced in order to provide evidence of relative frequencies. Section 2 presents a description of word-class categorisation from the point of view of grammars and dictionaries arguing that the traditional category of conjunctions is inadequate for capturing the notion of phrasal connective. Section 3 examines the notion of ‘connective’ and suggests a truth-function interpretation of connective behaviour. Section 4 describes the quantitative methods proposed for analysing the distributional properties of lexical units, and section 5 comments on the results obtained by applying such methods drawing some provisional conclusions. (shrink)

We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We provide a case study for the application of the methods to (...) the problem of identifying and extracting arguments about anthropomorphism during a critical period in the development of comparative psychology. We show how a combination of classification systems and mixed-membership models trained over large digital libraries can inform resource discovery in this domain. Through a novel approach of “drill-down” topic modeling—simultaneously reducing both the size of the corpus and the unit of analysis—we are able to reduce a large collection of fulltext volumes to a much smaller set of pages within six focal volumes containing arguments of interest to historians and philosophers of comparative psychology. The volumes identified in this way did not appear among the first ten results of the keyword search in the HathiTrust digital library and the pages bear the kind of “close reading” needed to generate original interpretations that is the heart of scholarly work in the humanities. Zooming back out, we provide a way to place the books onto a map of science originally constructed from very different data and for different purposes. The multilevel approach advances understanding of the intellectual and societal contexts in which writings are interpreted. (shrink)

The paper presents findings gathered in an exploratory, descriptive, corpus-based analysis of a parallel corpus composed of English corporate documents and their translations into Polish with regard to the frequency-related, binary strategy distribution pattern. In general, the author posits a distinctiveness of interlingual communication in the domain of law, as delineated by the institutional and disciplinary framework. The material extracted from the corpus and studied for its generic features points to the hermetic character of corporate written communication (...) in English. The thesis to be verified is whether there are any tendencies in the distribution of the translation strategies in the corpus texts. The research question was operationalised via coding the corpus extracts according to the binary strategy division scheme. Further, the data have been discussed in reference to the sociocultural background of the communicative situation covered under the analysis in order to account for the translators’ motivation. (shrink)