This article uses a 36-million word corpus of news reporting on Hurricane Katrina in the United States to explore how computer-based methods can help researchers to investigate the construction of newsworthiness. It makes use of Bednarek and Caple’s discursive approach to the analysis of news values, and is both exploratory and evaluative in nature. One aim is to test and evaluate the integration of corpus techniques in applying discursive news values analysis. We employ and evaluate (...) class='Hi'>corpus techniques that have not been tested previously in relation to the large-scale analysis of news values. These techniques include tagged lemma frequencies, collocation, key part-of-speech tags and key semantic tags. A secondary aim is to gain insights into how a specific happening – Hurricane Katrina – was linguistically constructed as newsworthy in major American news media outlets, thus also making a contribution to ecolinguistics. (shrink)

As more and more sophisticated software is created to allow the mining of arguments from natural language texts, this paper sets out to examine the suitability of the well-established and readily available methods of corpus linguistics to the study of argumentation. After brief introductions to corpus linguistics and the concept of meta-argument, I describe three pilot-studies into the use of the terms Straw man, Ad hominem, and Slippery slope, made using the open access News on the Web (...) corpus. The presence of each of these phrases on internet news sites was investigated and assessed for correspondence to the norms of use by argumentation theorists. All three pilot-studies revealed interesting facts about the usage of the terms by non-specialists, and led to numerous examples of the types of arguments mentioned. This suggests such corpora may be of use in two different ways: firstly, the wider project of improving public debate and educating the populace in the skills of critical thinking can only be helped by a better understanding of the current state of knowledge of the technical terms and concepts of argumentation. Secondly, theorists could obtain a more accurate picture of how arguments are used, by whom, and to what reception, allowing claims on such matters to be evidence, rather than intuition, based. (shrink)

Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate (...) classical relations such as hypernymy and function. Our model outperforms comparable algorithms in cognitive tasks pertaining not only to concept‐internal structures (discovering properties of concepts, grouping properties by property type) but also to inter‐concept relations (clustering into superordinates), suggesting the empirical validity of the property‐based approach. (shrink)

Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that approximate (...) classical relations such as hypernymy and function. Our model outperforms comparable algorithms in cognitive tasks pertaining not only to concept‐internal structures (discovering properties of concepts, grouping properties by property type) but also to inter‐concept relations (clustering into superordinates), suggesting the empirical validity of the property‐based approach. (shrink)

Drawing on the epistemology of logic literature on anti-exceptionalism about logic, we set out to investigate the following metaphilosophical questions empirically: Is philosophy special? Are its methods (dis)continuous with science? More specifically, we test the following metaphilosophical hypotheses empirically: philosophical deductivism, philosophical inductivism, and philosophical abductivism. Using indicator words to classify arguments by type (namely, deductive, inductive, and abductive arguments), we searched through a large corpus of philosophical texts mined from the JSTOR database (N = 435,703) to find (...) patterns of argumentation. The results of our quantitative, corpus-based study suggest that deductive arguments are significantly more common than abductive arguments and inductive arguments in philosophical texts overall, but they are gradually and steadily giving way to non-deductive (i.e. inductive and abductive) arguments in academic philosophy. (shrink)

This paper focuses on an explanation in a newspaper article: why new European Union citizens will come to the UK from Eastern Europe (e.g., because of available jobs). Using a corpus-based method of analysis, I show how regular target readers have been positioned to generate premises in dialogue with the explanation propositions, and thus into an understanding of the explanation as an argument, one which contains a biased conclusion not apparent in the text. Employing this method, and in (...) particular ‘corpus comparative statistical keywords’, I show how two issues can be freshly looked at: implicit premise recovery; the argument/explanation distinction. (shrink)

This paper addresses the relation between explicitation and translation expertise in the rendition of nominalisation and participles in the legal Qurʾānic verses specific to purification and prayer. It uses a corpus-based method: _The Qurʾānic Arabic Corpus_. The paper argues that most of the expert Qurʾān translators explicitate in rendering nominalisation and participles in the legal verses specific to purification and prayer into English in the said corpus. They explicitate in the form of both addition and specification with (...) varying degrees as the former is adopted twice as much as the latter. The paper claims that most explicitations specific to the rendition of nominalisation and participles in the legal Qurʾānic verses peculiar to purification and prayer in the corpus have been superfluous, albeit justifiable. This may confirm the relation between explicitation and translation expertise in _The Qurʾānic Arabic Corpus_ in the sense that although the meaning of nominalisation and/or participles is wholly translated into English, the Qurʾān translators still explicitate through addition or specification to further facilitate the comprehension process. This paper offers a baseline for examining explicitation exercised on nominalisation and participles in the legal Qurʾānic verses particular to purification and prayer, which may have implications for future studies conducted on the same topic in other similar legal contexts. (shrink)

The International Criminal Tribunal for Yugoslavia was established by the UN Security Council in 1993 to prosecute persons responsible for war crimes committed in the former Yugoslavia during the Balkan wars. As the first international war crimes tribunal since the Nuremburg and Tokyo tribunals set up after WWII, the ICTY has attracted immense interest among legal scholars since its inception, but has failed to garner the same level of attention from researchers in other disciplines, notably linguistics. This represents a significant (...) research gap, as the Tribunal’s public discourse can open up interesting avenues of analysis to researchers of law, language, and legal discourse alike. On its official website, the Tribunal claims that it has “irreversibly changed the landscape of international humanitarian law” and lists six specific achievements: “Holding leaders accountable; bringing justice to victims; giving victims a voice; establishing the facts; developing international law and strengthening the rule of the law”. While a number of legal scholars have studied and critiqued the level of ‘achievement’ actually attained by the Tribunal against these metrics and others, of interest to linguists is the ways in which this work might be conveyed discursively. In this paper, we demonstrate how methods from the linguistic field of corpus-based critical discourse analysis can be utilised to explore the discursive construction of such achievements in the language of the ICTY. (shrink)

This paper employs a usage-based approach to grammar, the theory of frame semantics, and the corpus-based method referred to as the attraction-reliance measure, for the purpose of examining the mutual association between a noun and the be of N-pattern: in other words, to determine nouns that are strongly associated with this construction. On the basis of the data gleaned from the Corpus of Contemporary American English, the paper aims to indicate that there are specific categories of (...) nouns occurring in the construction under scrutiny, and that this construction performs specific functions in discourse. (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)

Evidence-based medicine has been the subject of much controversy within and outside the field of medicine, with its detractors characterizing it as reductionist and authoritarian, and its proponents rejecting such characterization as a caricature of the actual practice. At the heart of this controversy is a complex linguistic and social process that cannot be illuminated by appealing to the semantics of the modifier evidence-based. The complexity lies in the nature of evidence as a basic concept that circulates in (...) both expert and non-expert spheres of communication, supports different interpretations in different contexts, and is inherently open to contestation. We outline a new methodology that combines a social epistemological perspective with advanced methods of corpus linguistics and elements of conceptual history to investigate this and other basic concepts that underpin the practice and ethos of modern medicine. The potential of this methodology to offer new insights into controversies such as those surrounding EBM is demonstrated through a case study of the various meanings supported by evidence and based, as attested in a large electronic corpus of online material written by non-experts as well as a variety of experts in different fields, including medicine. (shrink)

ABSTRACT This paper focuses on the representation of the notion of employability and the job-seeking ‘reality’. It is part of a wider research project that looks closely into the careers services sector within Higher Education Institutions in the United Kingdom. The chosen methodology, that is corpus-based critical discourse analysis, combined qualitative and quantitative methods and tools for the analysis of 2.6 million words deriving from 58 university websites, and more specifically the careers services sections. The analysis brings (...) to light some problematic, common-sense ideas that are being disseminated by these services and encourages the denaturalisation of the careers services’ discourse. It shows that the language used by careers services reproduces and promotes neoliberal ideology. In addition, it argues that the notion of employability could be interpreted as a pseudo-solution to the social problem of (youth) unemployment and fierce competition in the graduate job market. (shrink)

This paper presents the results of an empirical study following up on Mizrahi (2021). Using the same methods of text mining and corpus analysis used by Mizrahi (2021), we test empirically a philosophical account of scientific progress that Mizrahi (2021) left out of his empirical study, namely, the so-called functional-internalist account of scientific progress according to which the aim or goal or scientific research is to solve problems. In general, our results do not lend much empirical evidence in (...) support of the problem-solving model of scientific progress over the other philosophical accounts of scientific progress (namely, the epistemic, noetic, and semantic accounts of scientific progress) tested in Mizrahi (2021) and in this follow-up study. Of all the subjects in the JSTOR database we have tested in this study, however, Mathematics is an interesting exception as far as the problem-solving model of scientific progress is concerned. For, in Mathematics alone, we have found that there is significantly more talk of the aims and/or goals of research in terms of solutions than in terms of truth, knowledge, or understanding. (shrink)

This article aims to provide a corpus-based evidence of the ubiquitous presence of metaphors in verbal discourse about classical music and the embodied basis of metaphors for musical motion. We analyzed authentic examples extracted from a 5,000-word corpus of texts taken from peer-reviewed music academic journals. We applied a systematic method to identify metaphor-related words and to label conceptual metaphors that reduces the analyst’s bias in the identification of metaphors. Our main findings are: the presence of metaphors (...) in academic discourse on music is significantly higher than in academic discourse in general ; most of the identified metaphors to describe musical motion are correlational metaphors ; and metaphors for musical mot.. (shrink)

This study presents a contrastive corpus linguistic analysis of language use before and after Stonewall. It uses theoretical insights on normativity from the field of language and sexuality to investigate how the shifting normativities associated with the Stonewall Riots – widely considered the central event of gay liberation in the Western world – have shaped our conceptualization of sexuality as it surfaces in language use. Drawing on two corpora of gay men’s pre-Stonewall narratives dating from two time periods, the (...) analysis combines quantitative and qualitative corpus linguistic methods to examine discursive shifts as evident from narrators’ language use. The study identifies the terms homosexual and normal as central contrastive labels in PRE, and gay and straight as corresponding terms in POST. Other discursive shifts detected are from sexual desire/practices to identity, from an individualistic to a community-based conceptualization of sexuality, and from unquestioned heteronormativity and gender binarism to a weakening of such dominant discourses. The findings are discussed in relation to the desire-identity shift, which is traditionally assumed to have taken place at the end of the 19th century, and shed new light on Stonewall as a central event for the development of an identity-based conceptualization of sexuality as we know it today. (shrink)

This paper develops a construction-based dialectometry capable of identifying previously unknown constructions and measuring the degree to which a given construction is subject to regional variation. The central idea is to learn a grammar of constructions using construction grammar induction and then to use these constructions as features for dialectometry. This offers a method for measuring the aggregate similarity between regional CxGs without limiting in advance the set of constructions subject to variation. The learned CxG is evaluated on how (...) well it describes held-out test corpora while dialectometry is evaluated on how well it can model regional varieties of English. The method is tested using two distinct datasets: First, the International Corpus of English representing eight outer circle varieties; Second, a web-crawled corpus representing five inner circle varieties. Results show that the method produces a grammar with stable quality across sub-sets of a single corpus that is capable of distinguishing between regional varieties of English with a high degree of accuracy, thus supporting dialectometric methods for measuring the similarity between varieties of English and measuring the degree to which each construction is subject to regional variation. This is important for cognitive sociolinguistics because it operationalizes the idea that competition between constructions is organized at the functional level so that dialectometry needs to represent as much of the available functional space as possible. (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)

Cet article propose un tour d’horizon de différents types de biais que l’on peut rencontrer dans les études basées sur l’annotation de corpus vidéo de langue des signes. En tâchant de situer objectivement les choix effectués et les biais potentiels à chaque étape, nous décrivons les méthodologies que nous avons mises en place dans trois études, portant respectivement sur la synchronisation des composantes corporelles, le mouvement des sourcils et les clignements des yeux, puis la coarticulation.

The following method is popular in some areas of philosophy and linguistics when trying to describe the semantics of a given sentence Φ. Present ordinary speakers with scenarios that involve an utterance of Φ, ask them whether these utterances are felicitous or infelicitous and then construct a semantics that assigns the truth-value True to felicitous utterances of Φ and the truth-value False to infelicitous utterances of Φ. The author makes five observations about this intuition-based approach to semantics; their upshot (...) is that it should be revised in favour of a more nuanced method. The author suggests that this method should be based on corpus linguistics and makes some tentative remarks about what it might look like and which questions we need to address in order to develop it. (shrink)

Hyperbase est un logiciel d’Analyse de Données Textuelles (ADT) qui offre une suite d’outils statistiques dédiés à l’étude de corpus. Initialement développé sur ordinateur de bureau, il se décline depuis 2015 en plateforme web offrant une interface à l’ergonomie travaillée pour un usage tourné vers les sciences humaines et sociales. Après un rappel méthodologique de l’ADT, cette contribution présente Hyperbase Web version 2024, à partir d’exemples concrets d’usages, de notes techniques ainsi que des entrées par le menu (manuel d’utilisateur). (...) Cette présentation sert de référence pour la prise en main du logiciel ou l’utilisation avancée des méthodes d’ADT. (shrink)

Dans le domaine de l’analyse des données textuelles (ADT), les chercheurs s’intéressent à la relation entre le texte et son support d’exploration. Ces dernières années, l’évolution de l’informatique a profondément modifié notre rapport au texte induisant le développement de nouveaux outils d’étude et critères d’analyse. Dans ce contexte théorique, le concept de lecture polyangulaire permet de compléter les notions de lectures linéaire, réticulaire ou matricielle. Cette approche du texte est devenue possible grâce aux outils d’édition de corpus toujours plus (...) performants proposés par les logiciels de traitement automatique des textes, tel Hyperbase Web Édition. Les fondements de la lecture polyangulaire reposent à fois sur les techniques de corpus based et de corpus driven. Elle vise à multiplier les partitionnements de corpus afin de faire émerger aussi précisément que possible la trame du tissu textuel. Cette nouvelle méthode est ensuite illustrée par deux exemples issus des bases latines diffusées par le LASLA de l’Université de Liège. (shrink)

Relying on large-scale parallel corpora, neural machine translation has achieved great success in certain language pairs. However, the acquisition of high-quality parallel corpus is one of the main difficulties in machine translation research. In order to solve this problem, this paper proposes unsupervised domain adaptive neural network machine translation. This method can be trained using only two unrelated monolingual corpora and obtain a good translation result. This article first measures the matching degree of translation rules by adding relevant subject (...) information to the translation rules and dynamically calculating the similarity between each translation rule and the document to be translated during the decoding process. Secondly, through the joint training of multiple training tasks, the source language can learn useful semantic and structural information from the monolingual corpus of a third language that is not parallel to the current two languages during the process of translation into the target language. Experimental results show that better results can be obtained than traditional statistical machine translation. (shrink)

Dans le cadre du développement récent de la stylistique outillée, cet article propose une réflexion sur l’application de ce concept et de ses méthodes aux personnages de théâtre sur la base d’un corpus trilingue de tragédies : Euripide, Sénèque et Corneille. Pour mener la recherche, nous aborderons d’abord la question de la nature des rôles de théâtre entre unités textuelles recomposées et discours de personnages dans le cadre d’une performance sur scène. Ensuite, nous chercherons à définir si les caractéristiques (...) de ces unités peuvent être rapprochées de la notion de style. Nous en étudierons les apports pour la compréhension d’une œuvre de théâtre. Pour atteindre cet objectif, une attention particulière sera accordée au corpus de recherche (quelles œuvres choisir?), à sa constitution (comment diviser ce corpus et avec quel niveau de granularité?) et aux outils d’exploration (qualitative ou quantitative?). En stylistique outillée, le corpus devient lui-même un outil de recherche en tant qu’opérateur de contraste. Enfin, poursuivre cette enquête amène à questionner la frontière entre études du discours et stylistique outillée du point de vue de leurs objectifs et de leurs méthodes. (shrink)

Psychologists have used experimental methods to study language for more than a century. However, only with the recent availability of large-scale linguistic databases has a more complete picture begun to emerge of how language is actually used, and what information is available as input to language acquisition. Analyses of such “big data” have resulted in reappraisals of key assumptions about the nature of language. As an example, we focus on corpus-based research that has shed new light on (...) the arbitrariness of the sign: the longstanding assumption that the relationship between the sound of a word and its meaning is arbitrary. The results reveal a systematic relationship between the sound of a word and its meaning, which is stronger for early acquired words. Moreover, the analyses further uncover a systematic relationship between words and their lexical categories—nouns and verbs sound differently from each other—affecting how we learn new words and use them in sentences. Together, these results point to a division of labor between arbitrariness and systematicity in sound-meaning mappings. We conclude by arguing in favor of including “big data” analyses into the language scientist's methodological toolbox. (shrink)

In this paper, I survey and defend the use of quantitative methods in philosophy of language. Quantitative methods in philosophy of language include a wide variety of methods, ranging from model‐based techniques (computer simulations and mathematical models) to data‐driven approaches (experimental philosophy and corpus‐based studies). After offering a few case studies of these methodologies in action, I single out some debates in philosophy of language that are especially well served by their use. These are (...) cases in which quantitative methods increase precision, improve the accuracy and reliability of results, and allow philosophers of language to borrow from other fields the best epistemic practices available. I conclude with some far‐reaching considerations about the role of qualitative and quantitative methods in debates about philosophical methodology. (shrink)

Information education has been vigorously promoted in various countries, making the application of information technologies in language education popular. The combination of information technologies and Japanese learning can make information technologies a practical tool to promote the thinking and cognitive abilities of students in Japanese learning. Corpus teaching is a kind of information technologies integrated teaching method, which enables students to carry out meaningful Japanese learning and promotes learning performance and learning effect of students. Based on information education, (...) the Japanese learning method under Internet corpus is constructed and applied to practical teaching. This study investigates learning performance and the learning effect of students through a questionnaire. Through the experimental design, Japanese teaching has been conducted on 322 students in a university in Shanghai for 18 weeks under the experimental Internet corpus. Through the experiment, it is found that various factors affect the Internet corpus learning method, and the linear relationship between the influencing factors is divided. Through the comparison results, it is also found that the Internet corpus teaching method can have a positive impact on the learning performance of students and then promote their learning effect. The application of Internet corpus learning matches the development of text corpus and audio corpus and the support of picture databases. Audio and video corpora can effectively improve the learning performance and the learning effect of students by searching for learning content in the database. Suggestions are put forward that the government should optimize its policies to promote Japanese learning and informal education based on learning performance. (shrink)

La Base de français médiéval (BFM) fait partie des corpus de français médiéval (9e-15e s.) les plus anciens et les plus utilisés par les linguistes diachroniciens et plus largement par tous ceux qui s’intéressent à l’histoire du français. Elle est le fruit d’une collaboration entre linguistes-philologues et spécialistes de la méthode textométrique implémentée dans la plateforme TXM. L’article présente un état des lieux du corpus BFM2022 focalisé sur la représentativité et l’interopérabilité des données. Il illustre l’apport des outils (...) numériques pour l’équilibrage des données et présente la stratégie de standardisation multi-niveau (structure textuelle, références, métadonnées, annotations) ayant permis à la Base de s’intégrer à des corpus diachroniques plus étendus pour des recherches en diachronie longue. (shrink)

This article presents a multimodal video corpus with the principal aim to model and predict the effects of aging in Mild Cognitive Impairment situation on pragmatic and communicative skills. We take as observable variables the verbal pragmatic markers and non-verbal pragmatic markers. This approach, at the interface of the psycholinguistics, cognitive sciences and rehabilitation medicine (speech-language pathology and therapy) is part of a longitudinal research process in an ecological situation (interviews conducted by close intimate of the elderly).In the first (...) part of the article we present the linguistic, cognitive and social characteristics of aging in its continuum up to mild cognitive impairment and pathological disorders such as Alzheimer’s disease. In the second part, we develop a multimodal approach, in particular to inform and enrich speech and language therapy knowledge. Finally, we present our experimental design and preliminary results on two female participants over 75 years of age with mild cognitive impairment.Our general findings indicate that with aging, verbal pragmatic markers acquire an interactive function that allows people with Mild Cognitive Impairment to maintain intersubjective relationships with their interlocutor. In addition, at the non-verbal level, gestural manifestations are increasingly mobilized over time with a preference for non-verbal pragmatic markers with a referential function and an interactive function. One such non-verbal manifestation compensates for naming deficits, planning difficulties, discursive hitches; while another optimizes and maintains the interaction with the interlocutor.Clinicians have a duty to develop their professional practice through an evidence-based clinical approach whose main objective is to reconcile clinical practice with the best evidence from research (Dollaghan 2007). In the case of speech-language pathology, clinicians consider themselves very limited in this approach (Lof 2011; McCurtin 2011), especially for patients with Mild Cognitive Impairment (Mungas et al. 2010; Hopper 2013; Morello 2017) and more specifically when it comes to assessing or supporting language functions (Cummings 2014).The studies focusing on Mild Cognitive Impairment require longitudinal corpora i) to understand the naturally occurring evolutions in subjects, ii) the implication of the cognitive reserve in each individual, and iii) to take advantage of these parameters as evidence for research and earlier rehabilitation. We aim to show the benefits of linguistic and interactional scientific investigation methods through fragile aging, for health professionals and everyday caregivers. (shrink)

The focus of this paper is two-fold. First, similarities generated from six semantic models were compared to human ratings of paragraph similarity on two datasets—23 World Entertainment News Network paragraphs and 50 ABC newswire paragraphs. Contrary to findings on smaller textual units such as word associations (Griffiths, Tenenbaum, & Steyvers, 2007), our results suggest that when single paragraphs are compared, simple nonreductive models (word overlap and vector space) can provide better similarity estimates than more complex models (LSA, Topic Model, SpNMF, (...) and CSM). Second, various methods of corpus creation were explored to facilitate the semantic models’ similarity estimates. Removing numeric and single characters, and also truncating document length improved performance. Automated construction of smaller Wikipedia-based corpora proved to be very effective, even improving upon the performance of corpora that had been chosen for the domain. Model performance was further improved by augmenting corpora with dataset paragraphs. (shrink)

This book argues that the verbal aspect of the Greek Perfect is complex, involving not one but two aspects, where the perfective applies to events and the imperfective applies to states. These two aspects are connected to specific morphemes in the Perfect tense-form. This study analyses Perfect tense-forms in discursive text by focusing on the Pauline Corpus. The method is grounded in grammaticalisation studies and informed by morphology, comparative linguistics, and historical linguistics. The argument is further supported by a (...) corpus-based study showing both the Greek Perfect tense-form use in letters over an 800-year period and adverb collocations of the Perfect tense-form. The adverb collocations establish when a Perfect is used for an event or for a state. This study challenges other verbal aspect studies that find only one verbal aspect to explain the Greek Perfect. This study situates the Pauline Perfect tense-form usage within a spectrum of other letter writers, and finds that within the Pauline Corpus the Perfects within supplemental clauses are more likely to use active lexemes than other letter writers. This study also finds that most of the Perfects used in letters are supplemental to the mainline and are often backgrounded rather than foregrounded. (shrink)

This book argues that the verbal aspect of the Greek Perfect is complex, involving not one but two aspects, where the perfective applies to events and the imperfective applies to states. These two aspects are connected to specific morphemes in the Perfect tense-form. This study analyses Perfect tense-forms in discursive text by focusing on the Pauline Corpus. The method is grounded in grammaticalisation studies and informed by morphology, comparative linguistics, and historical linguistics. The argument is further supported by a (...) corpus-based study showing both the Greek Perfect tense-form use in letters over an 800-year period and adverb collocations of the Perfect tense-form. The adverb collocations establish when a Perfect is used for an event or for a state. This study challenges other verbal aspect studies that find only one verbal aspect to explain the Greek Perfect. This study situates the Pauline Perfect tense-form usage within a spectrum of other letter writers, and finds that within the Pauline Corpus the Perfects within supplemental clauses are more likely to use active lexemes than other letter writers. This study also finds that most of the Perfects used in letters are supplemental to the mainline and are often backgrounded rather than foregrounded. (shrink)

ABSTRACTThis article introduces the Hyperbole Identification Procedure, a first systematic method for identifying linguistic hyperbole in discourse. We start by comparing existing definitions of linguistic hyperbole. Based on the commonalities shared by these definitions, we provide our operational definition of hyperbole as “an expression that is more extreme than justified given its ontological referent.” The next section argues why it is useful to identify hyperbole, as with metaphor in Metaphor Identification Procedure Vrije Universiteit, at the level of lexical units, (...) and subsequently introduces the steps of HIP. We follow up with two sample analyses of HIP in practice. First, we show how to unitize and analyze one complete sample sentence. Second, we present sample analyses of a number of selected cases. Then we present data showing that HIP can be reliably applied to a sample corpus of Dutch news texts. We end with discussing applications and implications of using HIP in corpus research. (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 article explores the main aspects of Aristotle’s scientific method in Meteorology IV. Dispositional properties such as solidifiability or combustibility play a dominant role in Meteor. IV (a) in virtue of their central place in the generic division of homoeomers, based on successive differentiation and multiple differentiae, and (b) in virtue of their role in revealing otherwise undetectable characteristics of uniform materials (composition and physical structure). While Aristotle often starts with accounts of ingredients and their ratio (e.g., solids that (...) contain a significant amount of water are liquefiable), the natural direction of his investigation is from observations regarding dispositional properties and their manifestation to accounts of composition and microstructure. Such passages tend to be easily syllogizable, a feature that—along with the criteria that shape his method of division—argues, I believe, for the compatibility of Meteor. IV with Aristotle’s theory of scientific inquiry. The concluding sections of my article deal more succinctly with reputable opinions and final causation in Meteor. IV.1–11 and with the relation between this treatise and Aristotle’s biological corpus. (shrink)

This paper argues that neurolinguistics has the potential to yield insights that can feed back into corpus-based Cognitive Linguistics. It starts by discussing how far the cognitive realism of probabilistic statements derived from corpus data currently goes. Against this background, it argues that the cognitive realism of usage-based models could be further enhanced through deeper engagement with neurolinguistics, but also highlights a number of common misconceptions about what neurolinguistics can and cannot do for linguistic theorizing.

The use of ensemble learning, deep learning, and effective document representation methods is currently some of the most common trends to improve the overall accuracy of a text classification/categorization system. Ensemble learning is an approach to raise the overall accuracy of a classification system by utilizing multiple classifiers. Deep learning-based methods provide better results in many applications when compared with the other conventional machine learning algorithms. Word embeddings enable representation of words learned from a corpus as (...) vectors that provide a mapping of words with similar meaning to have similar representation. In this study, we use different document representations with the benefit of word embeddings and an ensemble of base classifiers for text classification. The ensemble of base classifiers includes traditional machine learning algorithms such as naïve Bayes, support vector machine, and random forest and a deep learning-based conventional network classifier. We analysed the classification accuracy of different document representations by employing an ensemble of classifiers on eight different datasets. Experimental results demonstrate that the usage of heterogeneous ensembles together with deep learning methods and word embeddings enhances the classification performance of texts. (shrink)

In this chapter, I discuss some problems of Kant’s logic corpus while recognizing its richness and potential value. I propose and explain a methodic way to approach it. I then test the proposal by showing how we may use various mate- rials from the corpus to construct a Kantian demonstration of the formal rules of thinking (or judging) that lie at the base of Kant’s Metaphysical Deduction. The same proposal can be iterated with respect to other topics. The (...) said demonstration will have cleared the path for such iterations. (shrink)

Name der Zeitschrift: Cognitive Linguistics Jahrgang: 27 Heft: 4 Seiten: 493-505.

Cultural development is often reflected in the emotional expression of various cultural carriers, such as literary works, movies, etc. Therefore, the cultural development can be analyzed through emotion analysis of the text, so as to sort out its context and obtain its development dynamics. This paper proposes a text emotion analysis method based on deep learning. The traditional neural network model mainly deals with the classification task of short texts in the form of word vectors, which causes the model (...) to rely too much on the accuracy of word segmentation. In addition, the short texts have the characteristics of short corpus and divergent features. A text emotion classification model combing the Bidirectional Encoder Representations from Transformers and Bi-directional Long Short-Term Memory is developed in this work. First, the BERT model is used to convert the trained text into a word-based vector representation. Then, the generated word vector is employed as the input of the BiLSTM to obtain the semantic representation of the context of the relevant word. By adding random dropout, the mechanism prevents the model from overfitting. Finally, the extracted feature vector is input to the fully connected layer, and the emotion category to which the text belongs is calculated through the Softmax function. Experiments show that in processing short texts, the proposed model based on BERT-BiLSTM is more accurate and reliable than the traditional neural network model using word vectors. The proposed method has a better analysis effect on the development of western culture. (shrink)

Linguistic expressions of interest instantiated by interesting, intriguing, and fascinating that signal the authorial stance are not uncommon in applied linguistics research articles. Nevertheless, they have received little scholarly attention. This paper, taking a cognitive semantic approach, reports on a study that sought to examine how linguistically expressed interest in applied linguistics research articles is leveraged by researchers’ geo-academic location. Drawing on a semantic frame generated for interest markers in academic writing, this study focused on the incidence of the various (...) elements of the Interest frame in the discipline of applied linguistics based on a mixed-methods approach. The corpus-based quantitative analyses found that academic writers’ geo-academic location was a robust predictor of authors’ overall use of interest markers and some frame elements associated with the Interest frame. Triangulation with the interview data obtained from disciplinary specialists revealed that the observed differences could be attributable to the hierarchical academia featuring periphery-based scholars’ unequal access to the knowledge production market and under-representation. (shrink)

The dating of Islamic traditions has so far remained dependent on internal analyses of the hadith corpus. However, a comparison between this corpus and documentary sources appears possible. Invocations engraved on rocks during the first three centuries of Islam can be compared with those attributed to the earliest authorities of Islam. The new method I propose, based on an analysis of lexical convergences between inscriptions and hadith, allows to approach the time when traditions were first put into (...) circulation and to study the process whereby invocatory formulas were incorporated into the sunna and attributed to various authorities. In this way, it becomes possible to identify a historically plausible lexical nucleus in prophetic hadith and to understand how, by means of transmitters that I call “hubs,” ancient non-prophetic traditions became prophetic. (shrink)

Background. Studies on teacher emotion have steadily become more prominent. However, it has been observed that scholarship on teacher emotion has been dominated by contributions from Western societies. In the absence of a critical mass of empirical research generated from within the region such as Asia, lack of knowledge and capacity to inform policy and practice in teacher education and evaluation mechanism. Methods. The current study sought to mirror the patterns of knowledge production in teacher emotion in terms of (...) research topics, types and methods and how they have evolved over time in Asia between 1989 and 2018. By using a descriptive quantitative analysis approach, we review a corpus of 154 articles on teacher emotion published in peer-review journals in Asia. It began with a systematic search in seven widely used electronic databases for abstracts of potentially relevant studies. Results. As observed, the trend represents a sea change in the volume of publications in Asia although the overall volume of research is still relatively low. Results also identify that although quantitative methods were most commonly used, the findings reveal a more balanced distribution since 1993. Furthermore, the use of qualitative and mixed methods of research has undergone a marked increase in the past ten years. However, as the majority of articles were exploratory-oriented, intervention and experimental studies were largely lacking, which resulted in the ‘so-what’ story being missing. Conclusions. A functionalist perspective suggests that knowledge production in teacher emotion research in Asia is either at the late first stage or the emerging second stage. Recommendations have been provided based on the major results and challenges. (shrink)

One of the tasks faced by young children is the segmentation of a continuous stream of speech into discrete linguistic units. Early in development, syllables emerge as perceptual primitives, and the wholesale storage of syllable chunks is one possible strategy for bootstrapping the segmentation process. Here, we investigate what types of chunks children store. Our method involves selecting syllabified utterances from corpora of child-directed speech, which we vary according to (a) their length in syllables, (b) the mutual predictability of their (...) syllables, and (c) their frequency. We then use the number of utterances within which words are contained to predict the time course of word learning, arguing that utterances which perform well at this task are also more likely to be stored, by young children, as undersegmented chunks. Our results show that short utterances are best-suited for predicting when children acquire the words contained within them, although the effect is rather small. Beyond this, we also find that short utterances are the most likely to correspond to words. Together, the two findings suggest that children may not store many complete utterances as undersegmented chunks, with most of the units that children store as hypothesized words corresponding to \textit{actual} words. However, dovetailing with an item-based account of language-acquisition, when children do store undersegmented chunks, these are likely to be short sequences -- not frequent or internally predictable multi-word chunks. We end by discussing implications for work on formulaic multi-word sequences. (shrink)

Objective: To examine the role of explainability in machine learning for healthcare (MLHC), and its necessity and significance with respect to effective and ethical MLHC application. Study Design and Setting: This commentary engages with the growing and dynamic corpus of literature on the use of MLHC and artificial intelligence (AI) in medicine, which provide the context for a focused narrative review of arguments presented in favour of and opposition to explainability in MLHC. Results: We find that concerns regarding explainability (...) are not limited to MLHC, but rather extend to numerous well-validated treatment interventions as well as to human clinical judgment itself. We examine the role of evidence-based medicine in evaluating unexplainable treatments and technologies, and highlight the analogy between the concept of explainability in MLHC and the related concept of mechanistic reasoning in evidence-based medicine. Conclusion: Ultimately, we conclude that the value of explainability in MLHC is not intrinsic, but is instead instrumental to achieving greater imperatives such as performance and trust. We caution against the uncompromising pursuit of explainability, and advocate instead for the development of robust empirical methods to successfully evaluate increasingly inexplicable algorithmic systems. (shrink)

In the field of natural language processing, the task of sensitive information detection refers to the procedure of identifying sensitive words for given documents. The majority of existing detection methods are based on the sensitive-word tree, which is usually constructed via the common prefixes of different sensitive words from the given corpus. Yet, these traditional methods suffer from a couple of drawbacks, such as poor generalization and low efficiency. For improvement purposes, this paper proposes a novel (...) self-attention-based detection algorithm using the implementation of graph convolutional network. The main contribution is twofold. Firstly, we consider a weighted GCN to better encode word pairs from the given documents and corpus. Secondly, a simple, yet effective, attention mechanism is introduced to further integrate the interaction among candidate words and corpus. Experimental results from the benchmarking dataset of THUC news demonstrate a promising detection performance, compared to existing work. (shrink)

This article reports the findings from a study of discursive representations of the future role of technology in the work of the US National Intelligence Council. Specifically, it investigates the interplay of ‘techno-optimism’ and propositional certainty in the NIC’s ‘Future Global Trends Reports’. In doing so, it answers the following questions: To what extent was techno-optimism present in the discourse? What level of propositional certainty was expressed in the discourse? How did the discourse deal with the inherent uncertainty of the (...) future? Overall, the discourse was pronouncedly techno-optimist in its stance towards the future role of technology: high-technological solutions were portrayed as solving a host of problems, despite the readily available presence of low-technology or no-technology solutions. In all, 75.1% of the representations were presented as future categorical certainties, meaning the future was predominantly presented as a known and closed inevitability. The discourse dealt with the inherent uncertainty of the subject matter, that is, the future, by projecting the past and present into the future. This was particularly the case in relation to the idea of technological military dominance as a guarantee of global peace, and the role of technology as an inevitable force free from societal censorship. (shrink)