Nous examinons ici les schémas lexico-grammaticaux (LG) associés à trois verbes supports (« effectuer », « réaliser », « procéder ») dans deux corpus juridiques comparables (un corpus de directives européennes rédigées en français et leur transposition en France dans les textes de lois). A cette fin, nous utilisons Le Trameur, un logiciel de textométrie qui permet une comparaison systématique des données textuelles en mobilisant plusieurs méthodes statistiques exploratoires : analyse des fréquences par partie, spécificités, segments répétés, co-occurrences, poly-cooccurrences, etc. (...) Le recours à ce type d’outils permet au linguiste d’élaborer des unités de base de son système analytique en suivant un protocole de recherche précis, qui tient compte des indices quantitatifs. Finalement, des distinctions lexico-grammaticales fines entre des lexèmes dont le sémantisme serait trop proche pour une comparaison hors contexte, sont visualisées de façon synthétique au fil du texte, tout en permettant de différentier certaines constructions spécifiques du français « eurolectal » et les éléments du discours technocratique « national ». (shrink)

This article offers a descriptive and analytic view of the different stages leading to the constitution of a corpus that is representative of the issues of climate and energy justice. Overall, the corpus contains over five million words and gathers reports, newsletters and web-pages dealing with the most equitable ways of moving to a low-carbon future in the aim of limiting climate change. It can be divided into six sub-corpora, according to types of discourse communities, and methods of constitution. (...) We begin by presenting the small Do It Yourself (DIY) corpora which were used as a starting point. Three discourse communities were selected to observe possible variation in their treatment of the issue: Non-Governmental Organisations (NGOs), United-Nation institutions, and the Renewable Energy Sector (RES). The sources are selected according to author, date, keywords in title. Using the concordance Antconc and WMatrix software we test the reliability of the corpora for their thematic content, terminology and lexical unit classification. Our first results enable us to confirm variation between the discourse communities. The discrepancy in sizes and the time-consuming nature of the initial DIY corpus constitution lead us to use BootCat to extend them, using keywords from the corpora as seeds to retrieve and download webpages. We thus contrast a more traditional approach to corpus building to web-as-corpus data gathering methods. We compare the results found in the BootCat corpora to test if they are as specific as those in the DIY corpora. This enables us to draw conclusions on the possible uses and advantages of relatively small corpora for the study of specialised discourse. (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 study compares the coverage of coping strategies and emotions portrayed in news regarding COVID-19 by The New York Times in the U.S. and People’s Daily of China via social media. By employing corpus assisted discourse analysis to scrutinize the text corpora, our study uncovered prominent keywords and themes. Findings indicate that a comprehensive range of themes relating to coping strategies was more common in People’s Daily while a relatively smaller number of themes was apparent in The New York (...) Times. In terms of emotions exhibited in the news coverage, positive emotions such as cheer, gratitude, and good wishes predominated in People’s Daily whereas in The New York Times, negative emotions in the form of fears and anxiety were salient. The differences are explained with reference to the political context intertwined with the news environment and prior experiences in handling epidemics, with practical implications. (shrink)

Traditional methods for deriving property-based representations of concepts from text have focused on either extracting only a subset of possible relation types, such as hyponymy/hypernymy (e.g., car is-a vehicle) or meronymy/metonymy (e.g., car has wheels), or unspecified relations (e.g., car—petrol). We propose a system for the challenging task of automatic, large-scale acquisition of unconstrained, human-like property norms from large text corpora, and discuss the theoretical implications of such a system. We employ syntactic, semantic, and encyclopedic information to guide our (...) extraction, yielding concept-relation-feature triples (e.g., car be fast, car require petrol, car cause pollution), which approximate property-based conceptual representations. Our novel method extracts candidate triples from parsed corpora (Wikipedia and the British National Corpus) using syntactically and grammatically motivated rules, then reweights triples with a linear combination of their frequency and four statistical metrics. We assess our system output in three ways: lexical comparison with norms derived from human-generated property norm data, direct evaluation by four human judges, and a semantic distance comparison with both WordNet similarity data and human-judged concept similarity ratings. Our system offers a viable and performant method of plausible triple extraction: Our lexical comparison shows comparable performance to the current state-of-the-art, while subsequent evaluations exhibit the human-like character of our generated properties. (shrink)

Topic model is a well proven tool to investigate the semantic content of textual corpora. Yet corpora sometimes include texts in several languages, making it impossible to apply language-specific computational approaches over their entire content. This is the problem we encountered when setting to analyze a philosophy of science corpus spanning over eight decades and including original articles in Dutch, German and French, on top of a large majority of articles in English. To circumvent this multilingual problem, we (...) use machine-translation tools to bulk translate non-English documents into English. Though largely imperfect, especially syntactically, these translations nevertheless provide correctly translated terms and preserve the semantic proximity of documents with respect to one another. To assess the quality of this translation step, we develop a “semantic topology preservation test” that relies on estimating the extent to which document-to-document distances have been preserved during translation. We then conduct an LDA topic-model analysis over the entire corpus of translated and English original texts, and compare it to a topic-model done over the English original texts only. We thereby identify the specific contribution of the translated texts. These studies reveal a more complete picture of main topics that can found in the philosophy of science literature, especially during the early days of the discipline when numerous articles were published in languages other than English. (shrink)

Cette contribution présente des types de petits corpus très hétérogènes, qui ne sont toujours pas clairement définis : les petits corpus oraux bilingues et plurilingues. Elle envisage d’abord de donner un aperçu de petits corpus et discute l’insécurité terminologique du domaine des corpus bi- et plurilingues. Ensuite, les bases de données de petits corpus bilingues Talkbank, HZSK, Sketchengine et CLAPOTY sont brièvement décrites pour discuter les possibilités de visualisation ainsi que de mise en disposition des données de corpus. Finalement, un (...) exemple concret est présenté : le corpus FM, un petit corpus bilingue français-anglais d’une variété du français canadien, parlée au Manitoba. (shrink)

This exploratory research compares the interactive metadiscourse use by native English-speaking English for academic purposes writing teachers in the United Kingdom and their non-native counterparts in the Chinese contexts. The analysis is based on a self-compiled corpus, including two sub-corpora, which were composed of instructor contributions to classroom discourse: eight sessions of EAP lessons from the Chinese context and eight sessions of EAP lessons from the British context. Adopting an interpersonal model of metadiscourse, the two sub-corpora were compared (...) to examine the similarities and differences in their use of interactive metadiscourse. Findings of the comparative analysis reveal that EAP teachers from both contexts rely heavily on transition markers and frame markers to organize their teaching but differ in particular linguistic realizations. This may indicate the impact of a range of factors such as logical preferences, development order of acquisition, discourse community, and speech community on teachers’ interactive metadiscourse strategies. The article concludes with a few implications for metadiscourse research in spoken academic genres. (shrink)

The aim of this paper is to explore some of the possibilities, advantages and difficulties of corpus-based analyses of semantic and pragmatic aspects of language in one particular field, namely the linguistic expression of emotion concepts. For this purpose, a methodological procedure is proposed and an exemplary analysis of the emotion concept “fear” in English is performed. The procedure combines Kövecses' lexical approach and Stefanowitsch's metaphorical pattern analysis with additional concepts from corpus linguistics such as semantic preference and semantic prosody. (...) The results of the study show that such a corpus-based analysis of emotion words offers several advantages. Firstly, by exploring the surroundings of the search word in a vast amount of text, we are not only able to find evidence of conceptual metaphor and metonymy that structure the emotion concept and of related emotion concepts, but also we can enrich the description of the emotion concept with information from a series of dimensions and add a pragmatic viewpoint by revealing an explicit or implicit evaluation of the emotion. The second advantage offered by a corpus-based approach lies in the possibility of quantifying results, i.e., comparing the frequency, productivity and creative use of individual metaphors and metonymies, which is especially interesting in view of contrastive studies. (shrink)

The paper deals with the problem of translating selected insolvency terminology from Polish into English and from English into Polish. The re- search corpora encompassed the Insolvency Act 1986 as amended and Ustawa z dnia 28 lutego 2003. Prawo upadłościowe i naprawcze [the Act on Polish Insolvency and Rehabilitation Law of 28th February 2003 as amended]. The research methods included: the comparison of parallel texts, the method of axiomatisation of the legal linguistic reality, the termino- logical analysis of the (...) corpus material, the concept of adjusting the target text to the communicative needs and requirements of the community of recipients and the techniques of providing equivalents for non-equivalent terminology. The research hypothesis has been so formulated that the parametrisation of legal reality may assist in finding more adequate equivalents and determine differences in meaning of compared source and target language terms, which in turn facilitates the choice of a more adequate technique of providing equivalents for non-equivalent or partially equivalent legal terminology meeting the com- municative needs of translation recipients. The research results revealed that insolvency terminology is highly system-bound and available equivalents may often be misleading for the community of target text recipients. (shrink)

The aim of this research is to analyze the political discourse and the language they used in public addresses provided by two former presidents of the United States, specifically, President Barak Obama and President Donald Trump. This research reflects on the material that has been collected for several months which aimed to contribute on the analysis of the corpus, distinctions and similarities, as well as their attitudes towards the public opinion. The objectives of this study are mainly empirical and theoretical. (...) Considering the empirical objectives, this study seeks to explore, identify and categorize the most used words in a political speech according to the categories, form, function and meaning, whereas, the theoretical objectives of this study are to provide a description of the language that is used in major events from well-known politicians when aiming to capture people’s attention. Their rhetorical habits were examined, in every delivery of Mr. Obama’s political speech; his speeches were carefully and well-articulated throughout his 8 year political service in the oval office, portraying him as a kind person. On the other hand, Mr. Trump’s, as a non-politician, more as a businessman, political speeches throughout his campaign and 4 years in the office were very often seen as aggressive, unforeseen, and nonetheless straight to the point. This study covers the linguistic level analysis as well as semantic and pragmatic levels. Initially, the selected corpora were analyzed using the Ant Conc software regarding frequency of usage and then move into detailed analysis. (shrink)

How evaluative are legal texts? Do legal scholars and jurists speak a more descriptive or perhaps a more evaluative language? In this paper, we present the results of a corpus study in which we examined the use of evaluative language in both the legal domain as well as public discourse. For this purpose, we created two corpora. Our legal professional corpus is based on court opinions from the U.S. Courts of Appeals. We compared this professional corpus to a public (...) corpus, which is based on blog discussions on the internet forum Reddit. While many linguistic phenomena can give insights into evaluativity, we investigated the use of a wide selection of evaluative adjectives (more specifically, thick adjectives) to gain a more comprehensive picture of the degree of evaluativity in the legal domain. Our analysis shows that legal professionals use thick terms less evaluatively than laypeople, which suggests that legal texts are less evaluative than ordinary discussions. This result, more generally, supports the philosophical idea that thick concepts may vary in their evaluative intensity. (shrink)

Our methods of research, duly elaborated hereafter, would benefit from being applied to the realm of the East. For that matter, the examination of Syriac, Armenian, Coptic or Arabic manuscripts does not differ in the least from that of a Greek or Latin manuscript. The rules developed by classical philologists are just as valid for the study of the Maxims of Phtahhotep and the Precepts of Kagemeni…Alphonse Dain (1975), Les Manuscrits (Paris, Les Belles Lettres)One of the objects of a comparative (...) history of the scholarly practices in the West, the Far East, the Arab world and classical antiquity is the role of libraries in the constitution, transmission and transformations of the great textual corpora. To the institutional and social aspects of the politics of social memory should be added the range of intellectual and technical practices which have as their aim the conservation of this inheritance: material conservation and transmission - copying texts, restoring them, transferring them from one medium, one script and one language to another - but also work on the literal level and the meaning, the content and the form. (shrink)

This is a linguistic study of two primary metaphors with the same target-domain concept, “IMPORTANCE IS SIZE” and “IMPORTANCE IS WEIGHT,” in English and Chinese. It is suggested that these two primary metaphors are derived from the OBJECT image schema, abstracted from our embodied, sensorimotor experience, especially our visual and tactile perception, in dealing with physical objects in everyday life. The study focuses on size and weight adjectives in both languages and on linguistic evidence in two areas: their lexicalizations of (...) the importance senses as found in the dictionaries, and their roles in the instantiation of the two primary metaphors in natural discourse as found in the corpora. Our further analysis also shows that the primary metaphors can be manifested without explicit use of size and weight words when relevant conceptual frames in the source, evoked by other words or images, are mapped onto the target domain, thus activating the relevant region of our encyclopedic knowledge and triggering off the primary metaphors in our conceptual system. We also construct a hypothetical mapping scheme for primary metaphors based on the OBJECT image schema, in which OBJECT is mapped onto its target via three of its fundamental dimensions: SIZE, WEIGHT, and SOLIDITY. It is hoped that this mapping scheme will benefit future comparative studies of primary metaphors across languages and cultures in a more systematic way. (shrink)

The purpose of this paper is to compare disagreement in two different WhatsApp groups: one for members of the same family, and another for work colleagues. After the analysis, 427 instances of disagreement were identified in the family group, and 161 in the interactions between work colleagues. The most common strategy in both corpora is ‘Giving opposite opinions’. Nevertheless, the rest of the results present very significant dissimilarities, most notably the higher presence of disagreement in the family WhatsApp group. (...) This higher tolerance for disagreement is corroborated by the choice of linguistic strategies made. Whereas the family members tended to give emotional or personal reasons for disagreement, as well as negative comments on the topic, the colleagues preferred to express their disagreement with mitigating expressions and token agreement. Thus, in the corpora studied, the expression of disagreement seems to be less face threatening for family members than for work colleagues. (shrink)

This article deals with English causal subordinate clauses introduced by since or as. Both these markers may convey different meanings according to contextual variations, and can express temporal relations, from which their causal value is derived. The semantic closeness between as and since whenever they express a causal relation makes it necessary to harvest a large number of attested examples in order to compare and contrast them. The recourse to large on-line corpora such as the British National Corpus gives (...) rise to specific practical difficulties, however, especially as far as as is concerned; because of the high frequency of the subordinators in question, one is confronted to thousands of examples, few of which turn out to have a clear causal value in the case of as, hence the recourse to other means in order to make up a large enough corpus of examples.The concept of presupposition is examined, as it has often been argued that causal since subordinates, unlike as subordinates, introduce a presupposed content. But when confronted to a large number of examples, this criterion falls short of accounting for the subtle differences between the two conjunctions. A more theoretical approach is required; thanks to the tools provided by A. Culioli’s Theory of Enunciative and Predicative Operations, it becomes possible to formalise the hypothesis that a since causal relationship is presented as unproblematic and is addressee-oriented, whereas an as causal relationship is felt as unproblematic, and is speaker-oriented.This difference can be felt in the fact that it seems to be easier to find examples of causal as clauses in the press, while the causal use of since is more widespread in general, and does not seem to be specific to a genre in particular. In order to put this impression to the test, I have resorted to the multi-lingual parallel corpus Intercorp. (shrink)

The study of how languages differ in their portrayal of motion events has received much attention since Talmy provided the first detailed account of the phenomenon. Interest has extended from real, or factive motion, to imagined or fictive motion, and from there to metaphorical motion, in which experience in one sensory domain is understood in terms of motion. Studies of metaphorical motion have, however, concentrated so far on a limited number of sensory domains, principally vision, and drawn data from a (...) limited number of textual genres. The aim of this study is to identify the extent to which motion expressions are employed to express organoleptic sensory experiences, that is experiences of taste and smell. Drawing on analytical categories put forward by Talmy in his treatment of Satellite- and Verb-framed languages and on treatments based on Cognitive Metaphor Theory, and particularly the concept of ‘embodiment’, we investigate the variety and complexity of organoleptic Paths evidenced in two self-built corpora of craft beer reviews, one in Spanish, the other in English. We also compare the level of complexity evident in these sensory Path types with those of another, closely related, sensory domain: vision. The study finds, in line with related studies, that English has greater variety and complexity of sensory Paths than Spanish. A more unexpected result is the finding that organoleptic Paths are more varied and complex than visual Paths. This finding, then, may encourage us to reconsider Path complexity differences in sensory domains as a multifactorial issue and not simply as a cognitive-linguistic phenomenon. It is proposed here that external factors such as genre, or specifically, its communicative functions and linguistic constraints, coupled with the unique ‘perceptual landscapes’ created by each sensory modality, may transcend perceived physical boundaries of a Figure’s trajectory. (shrink)

The present study is a corpus-assisted analysis of discourses on the Catalan movement of independence in the Catalan and Spanish press. A referendum for Catalan independence was held on 1 October 2017 but was not approved by the central Spanish government and was declared illegal. Spanish and Catalan newspapers differed considerably in their treatment and representation of the conflict, which also drew the attention of the international press to Catalonia. My analysis interconnects theoretical perspectives from linguistic critical discourse studies, cognitive (...) linguistics, and media studies. The methodology is based on the analysis of two comparable corpora of journalistic texts. My aim is to identify and compare different features of the semantic prosody of words describing the event of geopolitical separation and the different narratives on this sociopolitical conflict that these prosodies contribute to producing. More specifically, I focus on a selection of keywords, like independence, secession, and sovereignty, that seem to be indicative of different discursive strategies consciously, and possibly unconsciously, chosen by a selection of national Catalan and Spanish newspapers. By carrying out a contrastive analysis of the two corpora, I am able to describe certain similarities, like the similar frequent use of the word independence, and differences, like the more frequent use of the word secession in the Spanish corpus, that indicate different framings of the same event and can be related to different ideological positionings against or in favor of Catalonia’s independence from Spain. (shrink)

This paper uses Wmatrix to generate semantic tagging to compare corpora of media representations between the American Dream and the Chinese Dream. The USAS tagger is used to assign the semantic field tags to the America Dream Corpus and the Chinese Dream Corpus. The motivation of this study is to replicate the studies using an automated and inclusive method based on semantic tagging. 295–324), and more importantly, to conduct a broad semantic categorization on both national dreams so as to (...) uncover the cultural, social and historical similarities and/or differences. It is found that the cultural difference of the individualistic home and work association of the American Dream versus the collectivistic nation and world attributions of the Chinese Dream. The different historical stage and social-economic contexts are disclosed from the different temporal positions from time category, and the contrastive tags associated with negative representation of the American Dream and positive representation of the Chinese Dream. (shrink)

We investigate claims about the frequency of "know" made by philosophers. Our investigation has several overlapping aims. First, we aim to show what is required to confirm or disconfirm philosophers’ claims about the comparative frequency of different uses of philosophically interesting expressions. Second, we aim to show how using linguistic corpora as tools for investigating meaning is a productive methodology, in the sense that it yields discoveries about the use of language that philosophers would have overlooked if they remained (...) in their "armchairs of an afternoon", to use J.L. Austin’s phrase. Third, we discuss facts about the meaning of "know" that so far have been ignored in philosophy, with the aim of reorienting discussions of the relevance of ordinary language for philosophical theorizing. (shrink)

Differences in language use and structures between signed and spoken languages have often been attributed to so-called language “modality.” Indeed, this is derived from the conception that spoken languages resort to both the oral-aural channel of speech and the visual-kinesic channel of visible bodily action whereas signed languages only resort to the latter. This paper addresses the use of enactment, a depictive communicative strategy whereby language users imitate referents in signed and spoken languages. Reviewing comparative research on enactment, this paper (...) highlights theoretical and methodological shortcomings in prior works. First, a broader set of causal explanations needs to be taken into account when interpreting differences between signing and speaking communities. A more comprehensive conceptual toolbox ensures that differences are not automatically attributed to modality. In particular, less-studied factors of language diversity, like sociolinguistic and cultural ecologies, and how they interact with other factors should be considered. Second, diversity in enactment across signed and spoken languages is shown to be inadequately and insufficiently documented. It is argued that by comparing enactment across more diverse signing and speaking communities and using large, directly comparable corpora, solid analyses can be carried out, enabling a better understanding of how and why different communities use enactment in similar or different ways. (shrink)

We report on the first stage of a project on the representations of gender in the coverage of the Arab Spring by Western media. We focus on designing comparable corpora to examine Arab women’s depiction in English and German news during the uprisings. The English corpus is composed of reports published by _The Guardian and The New York Times_. The German corpus consists of articles collected from _Der Spiegel, Die Welt_, _Die Zeit, Frankfurter Allgemeine Zeitung,_ and _Süddeutsche Zeitung_. (...) The datasets were processed through Sketch Engine to identify the terms collocating with _women_ in the English corpus and _Frau_ in the German one. Then, the themes reflected by these expressions in the two corpora were compared. The results show that both news media feature two types of topical frames linked to Arab women; one is associated with the uprisings while the other is related to their recurrent stereotypes in Western news discourse. Yet, there are discrepancies between their focus on related issues to each type. Other differences between the two sets of news outlets include intensity of reporting on Arab women and stressing their nationalities. These findings suggest that although Arab women’s negative stereotypes continued to feature in western news discourse during the Arab Spring, new positive images emerged and contributed to changing their depictions in global media. (shrink)

Though not as widely studied as the Research Article, the abstract has attracted increasing interest among researchers over last decades. A number of contrastive or comparative studies of abstracts in English and other languages have already been carried out considering mainly the hard sciences and some soft sciences such as linguistics and history, however no cross-cultural analyses have been conducted so far between RA abstracts in English and RA abstracts in French published in the legal field. This paper seeks to (...) investigate genre variation and changes in frame sequences comparatively in English and French RA abstracts from criminology journals. Using a genre analytical approach to qualitative and quantitative data, the paper reports on two comparable corpora, i.e. English and French, of electronically retrieved abstracts from Criminology Journals published in 2014. The two corpora are composed of three journals per language, namely Criminology, Journal of Criminal Justice, Journal of Criminal Law and Criminology for the English corpus, and Champ Pénal, Criminologie, Revue Canadienne de Droit Pénal et Criminologie for the French corpus. The analysis will be carried out following two main steps, i.e. a macro-analysis and a micro-analysis. In the former step, the corpora are compared by the analysis and discussion of the basic IMRD rhetorical move structure for the RA often proposed in the literature and the additional five moves model postulated by Dos Santos with the aim of investigating the linguistic and rhetorical variation in the abstract genre from a cross-cultural perspective. In the latter, we look at frame sequences combining forms of self-mentions and frame markers, i.e. personal patterns, impersonal patterns and locational patterns. Provisional results show that the abstracts under investigation largely follow the international conventions based on the norms established by the English-speaking international academic community. However, variation across the two cultures emerged from the linguistic realizations of framework sequences. Cross-cultural implications are discussed at the close. (shrink)

Corpus-based word frequencies are one of the most important predictors in language processing tasks. Frequencies based on conversational corpora are shown to better capture the variance in lexical decision tasks compared to traditional corpora. In this study, we show that frequencies computed from social media are currently the best frequency-based estimators of lexical decision reaction times. The results are robust and are still substantial when we control for corpus size.

The comparative study of synchronic occurrences of a particular construction in interactional corpora from different languages can provide a complete understanding of the development of the construction as a response to some basic intimately associated set of interactional moves and cognitive demands. A comparative formal analysis of lists in Spanish and English conversations shows that in both languages the construction has developed a stylized intonation pattern based on the holding of tones by means of lengthening of nuclear syllables, a (...) durable syntactic organization based on parataxis and an almost identical inventory of lexicalized expressions to index the end of the list. A parallel analysis of lists in their interactional contexts shows that in both English and Spanish conversation the formal properties of lists emerge as adaptations to a recurrent set of communicative tasks. The first type of `framing' lists is used for its incremental structure in the negotiation of common background between interlocutors, whereas the second type of `demonstrative' lists is used for its rhetorical structure to provide evidence for a claim and is directed to obtaining agreement. (shrink)

The paper discusses the problem of translating selected Civil Procedure terminology from Greek into Polish and from Polish into Greek. The research material includes corpora of normative acts and more precisely those, which regulate Civil Procedure of Poland, Greece and the Republic of Cyprus. The research methodology is based on the concept of parameterisation, according to which the legal linguistic reality becomes axiomatic. Then the set of relevant dimensions and parameters is extracted. The set of parameters are a tool (...) where certain information is given: yes/no/none and thus a clear result of comparison between legal system bond terminology can be drawn up. The results of this comparative analysis provide highly regulated and available translation equivalents, which are essential when legal translation is performed within the frame of legal reality. Selected examples of use of these equivalents are given when discussing the results. (shrink)

Drawing on corpora from West Africa and Iceland, the article presents a fieldwork-based comparative exploration of ‘things that place names do’. Treating toponyms as performative elements of culture, we have observed striking parallels as well as differences in the uses of place names in both regions. Place names communicate spatial orientation; play an important role in the commemoration of people and events; mark claims of possession; support the construction of identity; sacralize landscapes; and voice moral reprimands. They can provide (...) entertainment, by, for instance, inscribing ridicule into the land. They subvert as well as affirm hierarchies and power structures, and even play a role in interethnic conflict. Equally, they can become nuclei of storytelling, providing starting points for the invention of narratives. Showing the range of functions that place names can assume in two very different geographical contexts, the article presents a heuristic illustration of the potential of fieldwork-based approaches for toponomastic research. (shrink)

The first issue of Artificial Intelligence and Law journal was published in 1992. This paper provides commentaries on nine significant papers drawn from the Journal’s second decade. Four of the papers relate to reasoning with legal cases, introducing contextual considerations, predicting outcomes on the basis of natural language descriptions of the cases, comparing different ways of representing cases, and formalising precedential reasoning. One introduces a method of analysing arguments that was to become very widely used in AI and Law, namely (...) argumentation schemes. Two relate to ontologies for the representation of legal concepts and two take advantage of the increasing availability of legal corpora in this decade, to automate document summarisation and for the mining of arguments. (shrink)

This book reports on the contrastive-semantic investigation of sadness expressions between English and Chinese, based on two monolingual general corpora and a parallel corpus. The exploration adopts a unique theoretical approach which integrates corpus-linguistic theories on meaning (as a social construct, usage and paraphrase) with a corpus-linguistic lexical model. It employs a new complex but workable methodology which combines computational tools with manual examination to tease meaning out of corpus evidence, to compare and contrast lexical items that do not (...) match up neatly between languages. It looks at sadness expressions both within and across languages in terms of three corpus-linguistic structural categories, i.e. colligation, collocation and semantic association/preference, and paraphrase (both explicit and implicit) to capture their subtle nuances of meaning, disclose the culture-specific conceptualisations encoded in them, and highlight their respective cultural distinctiveness of emotion. By presenting multidisciplinary original work, Sadness Expressions in English and Chinese will be of interest to researchers in corpus linguistics, contrastive lexical semantics, psychology, bilingual lexicography and language pedagogy. (shrink)

This book reports on the contrastive-semantic investigation of sadness expressions between English and Chinese, based on two monolingual general corpora and a parallel corpus. The exploration adopts a unique theoretical approach which integrates corpus-linguistic theories on meaning (as a social construct, usage and paraphrase) with a corpus-linguistic lexical model. It employs a new complex but workable methodology which combines computational tools with manual examination to tease meaning out of corpus evidence, to compare and contrast lexical items that do not (...) match up neatly between languages. It looks at sadness expressions both within and across languages in terms of three corpus-linguistic structural categories, i.e. colligation, collocation and semantic association/preference, and paraphrase (both explicit and implicit) to capture their subtle nuances of meaning, disclose the culture-specific conceptualisations encoded in them, and highlight their respective cultural distinctiveness of emotion. By presenting multidisciplinary original work, Sadness Expressions in English and Chinese will be of interest to researchers in corpus linguistics, contrastive lexical semantics, psychology, bilingual lexicography and language pedagogy. (shrink)

One of the main limitations of natural language‐based approaches to meaning is that they do not incorporate multimodal representations the way humans do. In this study, we evaluate how well different kinds of models account for people's representations of both concrete and abstract concepts. The models we compare include unimodal distributional linguistic models as well as multimodal models which combine linguistic with perceptual or affective information. There are two types of linguistic models: those based on text corpora and those (...) derived from word association data. We present two new studies and a reanalysis of a series of previous studies. The studies demonstrate that both visual and affective multimodal models better capture behavior that reflects human representations than unimodal linguistic models. The size of the multimodal advantage depends on the nature of semantic representations involved, and it is especially pronounced for basic‐level concepts that belong to the same superordinate category. Additional visual and affective features improve the accuracy of linguistic models based on text corpora more than those based on word associations; this suggests systematic qualitative differences between what information is encoded in natural language versus what information is reflected in word associations. Altogether, our work presents new evidence that multimodal information is important for capturing both abstract and concrete words and that fully representing word meaning requires more than purely linguistic information. Implications for both embodied and distributional views of semantic representation are discussed. (shrink)

Prelinguistic infants must find a way to isolate meaningful chunks from the continuous streams of speech that they hear. BootLex, a new model which uses distributional cues to build a lexicon, demonstrates how much can be accomplished using this single source of information. This conceptually simple probabilistic algorithm achieves significant segmentation results on various kinds of language corpora - English, Japanese, and Spanish; child- and adult-directed speech, and written texts; and several variations in coding structure - and reveals which (...) statistical characteristics of the input have an influence on segmentation performance. BootLex is then compared, quantitatively and qualitatively, with three other groups of computational models of the same infant segmentation process, paying particular attention to functional characteristics of the models and their similarity to human cognition. Commonalities and contrasts among the models are discussed, as well as their implications both for theories of the cognitive problem of segmentation itself, and for the general enterprise of computational cognitive modeling. (shrink)

BACKGROUND: Ontologies play a major role in life sciences, enabling a number of applications, from new data integration to knowledge verification. SNOMED CT is a large medical ontology that is formally defined so that it ensures global consistency and support of complex reasoning tasks. Most biomedical ontologies and taxonomies on the other hand define concepts only textually, without the use of logic. Here, we investigate how to automatically generate formal concept definitions from textual ones. We develop a method that uses (...) machine learning in combination with several types of lexical and semantic features and outputs formal definitions that follow the structure of SNOMED CT concept definitions. RESULTS: We evaluate our method on three benchmarks and test both the underlying relation extraction component as well as the overall quality of output concept definitions. In addition, we provide an analysis on the following aspects: How do definitions mined from the Web and literature differ from the ones mined from manually created definitions, e.g., MeSH? How do different feature representations, e.g., the restrictions of relations' domain and range, impact on the generated definition quality?, How do different machine learning algorithms compare to each other for the task of formal definition generation?, and, What is the influence of the learning data size to the task? We discuss all of these settings in detail and show that the suggested approach can achieve success rates of over 90%. In addition, the results show that the choice of corpora, lexical features, learning algorithm and data size do not impact the performance as strongly as semantic types do. Semantic types limit the domain and range of a predicted relation, and as long as relations' domain and range pairs do not overlap, this information is most valuable in formalizing textual definitions. CONCLUSIONS: The analysis presented in this manuscript implies that automated methods can provide a valuable contribution to the formalization of biomedical knowledge, thus paving the way for future applications that go beyond retrieval and into complex reasoning. The method is implemented and accessible to the public from: https://github.com/alifahsyamsiyah/learningDL. (shrink)

Much recent work in Cognitive Linguistics and neighbouring disciplines has adopted a so-called usage-based perspective in which generalizations are based on the analysis of authentic usage data provided by computerized corpora. However, the analysis of such data does not always utilize methodological findings from other disciplines to avoid analytical pitfalls and, at the same time, generate robust results. A case in point is the strategy of using corpus frequencies. In this paper, we take up a recently much debated issue (...) from construction grammar concerning the association between verbs and argument-structure constructions, and investigate a construction, the English as-predicative, in order to test the predictive power of different kinds of frequency data against that of a recent, more refined corpus-based approach, the so-called collexeme analysis. To that end, the results of the application of these corpus-based approaches to an analysis of the as predicative are compared with the results of a sentence-completion experiment. Concerning the topic under consideration, collexeme analysis is not only shown to be superior on a variety of theoretical and methodological grounds, it also significantly outperforms frequency as a predictor of subjects’ production preferences. We conclude by pointing out some implications for usage-based approaches. (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)

In this chapter we use methods of corpus linguistics to investigate the ways in which mathematicians describe their work as explanatory in their research papers. We analyse use of the words explain/explanation (and various related words and expressions) in a large corpus of texts containing research papers in mathematics and in physical sciences, comparing this with their use in corpora of general, day-to-day English. We find that although mathematicians do use this family of words, such use is considerably less (...) prevalent in mathematics papers than in physics papers or in general English. Furthermore, we find that the proportion with which mathematicians use expressions related to ‘explaining why’ and ‘explaining how’ is significantly different to the equivalent proportion in physics and in general English. We discuss possible accounts for these differences. (shrink)

The aim of this paper is to carry out a comparative analysis of clauses in Polish and English copyright agreements in respect of their translation by a computer assisted tool—Google Translate, and to assess the quality of such translation. The comparison of parallel texts as a research method has been applied. The research corpora include authentic Polish and English Copyright Agreements. The analysed clauses have been excerpted from the above mentioned Copyright Agreements. The author chose the most standard clauses (...) as well as clauses typical for copyright contracts. As a result of the analysis, translations provided by Google Translate are better in terms of typical clauses but of worse quality in terms of specialised copyright clauses. (shrink)

This paper proposes several recurrent neural network-based models for recognizing requisite and effectuation parts in Legal Texts. Firstly, we propose a modification of BiLSTM-CRF model that allows the use of external features to improve the performance of deep learning models in case large annotated corpora are not available. However, this model can only recognize RE parts which are not overlapped. Secondly, we propose two approaches for recognizing overlapping RE parts including the cascading approach which uses the sequence of BiLSTM-CRF (...) models and the unified model approach with the multilayer BiLSTM-CRF model and the multilayer BiLSTM-MLP-CRF model. Experimental results on two Japan law RRE datasets demonstrated advantages of our proposed models. For the Japanese National Pension Law dataset, our approaches obtained an \ score of 93.27% and exhibited a significant improvement compared to previous approaches. For the Japan Civil Code RRE dataset which is written in English, our approaches produced an \ score of 78.24% in recognizing RE parts that exhibited a significant improvement over strong baselines. In addition, using external features and in-domain pre-trained word embeddings also improved the performance of RRE systems. (shrink)

This chapter presents two cross-linguistic studies of knowledge-how attributions that compare English and Japanese speakers. The first study investigates the felicity judgements of ordinary people about knowledge-how sentences, where we find a large difference in judgements about the sentences in which a person lacks an ability to perform a certain action but is nevertheless attributed the relevant knowledge of how to perform that action. The second study investigates the frequency of the natural occurrences of knowing-how constructions in English and Japanese (...) through Google search and corpora, where we find virtually no natural occurrence of Japanese knowing-how constructions. These results suggest that the attribution of knowledge-how in Japanese is radically different from the English counterpart in that it neither requires nor is required by the relevant physical ability. We then explore the philosophical implications of these radical differences in the use of knowing-how constructions between English and Japanese speakers for the debate between intellectualism and anti-intellectualism. One such implication is that English “know how” sentences themselves may not delineate a philosophically significant category of knowledge. (shrink)

The ongoing generation of expectations is fundamental to listeners’ experience of music, but research into types of statistical information that listeners extract from musical melodies has tended to emphasize transition probabilities and n‐grams, with limited consideration given to other types of statistical learning that may be relevant. Temporal associations between scale degrees represent a different type of information present in musical melodies that can be learned from musical corpora using expectation networks, a computationally simple method based on activation and (...) decay. Expectation networks infer the expectation of encountering one scale degree followed in the near (but not necessarily immediate) future by another given scale degree, with previous work suggesting that scale degree associations learned by expectation networks better predict listener ratings of pitch similarity than transition probabilities. The current work outlines how these learned scale degree associations can be combined to predict melodic continuations and tests the resulting predictions on a dataset of listener responses to a musical cloze task previously used to compare two other models of melodic expectation, a variable‐order Markov model (IDyOM) and Temperley's music‐theoretically motivated model. Under multinomial logistic regression, all three models explain significant unique variance in human melodic expectations, with coefficient estimates highest for expectation networks. These results suggest that generalized scale degree associations informed by both adjacent and nonadjacent relationships between melodic notes influence listeners’ melodic predictions above and beyond n‐gram context, highlighting the need to consider a broader range of statistical learning processes that may underlie listeners’ expectations for upcoming musical events. (shrink)

The goal of our paper is to provide a description of an apparent V3 pattern which is salient with some speakers of the Ghent dialect and is illustrated in (1), from Vanacker (1980). In such examples, what would be an initial adverbial constituent in the root clause vroeger (‘formerly’) is separated from the finite verb by what Vanacker (1980) labels a ‘pleonastic’ element, die, in effect leading to a superficial V3 order. At first sight, this element die is optional and (...) it has no impact on the truth conditions of the proposition that it introduces. (2) is also acceptable in the dialect. (1) Vroeger, die bakten wij vier soorten brood formerly die baked we four sorts bread ‘We used to bake four kinds of bread.’ (Gijzenzele 0.28) (Vanacker 1980: 76) (2) Vroeger bakten wij vier soorten brood. formerly baked we four sorts bread ‘We used to bake four kinds of bread.’ In the first part of the paper, we will provide a description of the distribution of die. We will also compare its distribution with that of the more widely distribution resumptive adverbs dan (‘then’) and daar (‘there), which are typical of the Germanic V2 languages (Salvesen 2016). Our account will be based both on authentic data drawn from corpora and from anecdotal observations as well as on the results of elicitations with 10 native speakers of the dialect. In the second part of the paper we provide an analysis in terms of Wolfe’s (2016) typology of the syntax of V2. Adopting the articulated structure of CP as elaborated in the cartographic framework, we will propose that die is an overt spell out of the head Force and as such a root complementiser. (shrink)

The linguistic input children receive across early childhood plays a crucial role in shaping their knowledge about the world. To study this input, researchers have begun applying distributional semantic models to large corpora of child‐directed speech, extracting various patterns of word use/co‐occurrence. Previous work using these models has not measured how these patterns may change throughout development, however. In this work, we leverage natural language processing methods—originally developed to study historical language change—to compare caregivers' use of words when talking (...) to younger versus older children. Some words' usage changed more than others; this variability could be predicted based on the word's properties at both the individual and category levels. These findings suggest that caregivers' changing patterns of word use may play a role in scaffolding children's acquisition of conceptual structure in early development. (shrink)

The article presents a methodological update on the lexical profile of informal spoken English with the emphasis on movies, television programs, and soap operas. The study analyzed Mark Davies’s mega-corpora with data containing approximately 625 million words and employed Paul Nation’s comprehensive and up-to-date British National Corpus/Corpus of Contemporary American English wordlists. Data from the analyses showed that viewers would need a vocabulary knowledge at 3,000 and 5,000 words frequency levels to understand 95 and 98% of the words in (...) scripted dialogs, respectively. Soap operas were found to be less lexically demanding compared to TV programs and movies. Findings are expected to fill in the methodological gaps between vocabulary assessment and vocabulary profiling research. (shrink)

This study investigates how typological and metaphorical construal differences may affect the use and frequency of temporal expressions in English and Spanish. More precisely, we explore whether there are any differences between English, a satellite-framed language, and Spanish, a verb-framed language, in the use of certain temporal linguistic expressions that include a spatial, deictic component (Deictic Time), a purely temporal relation between two events (Sequential Time) or the expression of the duration of an event (Duration). To achieve this, we perform (...) two different types of analysis. First, we conduct an informational gain or loss analysis (Verkerk, 2013) of 1,650 of English-to-Spanish translations extracted from parallel corpora. Secondly, we compare the frequency of 33 English and 27 Spanish temporal expressions in two similar written online corpora (EnTenTen and EsTenTen, respectively) and a television news spoken corpus (NewsScape). Our results suggest that English uses “deictic directional expressions” (explicitly stating the spatial location of the temporal event,, e.g., back in those days/in the future ahead) much more frequently than Spanish, to the extent that directional information is normally excluded in English-to-Spanish translations. Also, sequential expressions (such as before that/later than) and duration expressions (during the whole day) are much more frequent in Spanish. These usage differences, explained by the variability in motion typology and metaphoric construal, open up the interesting question of how these differences in linguistic usage could affect the conceptualization of time of English and Spanish speakers. (shrink)

This study focuses on the interdisciplinary issue of language corpora mining for the purpose of cultural analytics. The authors utilize the comparative cross -cultural approach to highlight the dynamics of “revolution” concept throughout two and a half centuries. They study concept application through the word occurrence in five languages by the means of Google Books Ngram Viewer and trace the waves of concept “popularity”. Most of the word application peaks can be corresponded to the political events called “revolutions” but (...) there is also an exception. (shrink)

The goal of this paper is to contrast the representation of models in photography, as well as certain kinds of inanimate beauty, with the average faces constructed by algorithms serving to identify and reproduce beauty. What are the similarities and differences between inanimate objects, characterized by faces devoid of singularities and comparable to sorts of angelic faces, and the algorithmic parameters through which beauty and attractiveness are calculated and predicted? This paper will apply an enunciative semiotic analysis to photographic (...) corpora, propose philosophical reflections on the categories of beauty, and will show that the conception of beauty changes from corpus to corpus and from one cultural domain to the other. The end of the paper states that beauty has to do with a perfect gradation between stillness and movement in the case of the models seen in fashion photography, between neutrality and expressivity for mannequins, and between singularity and multiplicity for dolls such as Barbie, and that, in the algorithmic fabrication of beautiful faces, it is linked with an enhancement of the compactness of the structure of the face. (shrink)

This paper discusses the view that subjectifications are primarily motivated by speakers’ need for self-expression. Approaching the issue from the perspective of animal signalling, we propose that semantic subjectifications are at least equally likely to reflect evaluations and attitudes read into utterances by listeners who attempt to read speakers’ minds. We compare speaker-based and listener-based theories with regard to their predictions, sketch ways in which they can be tested and report findings from first attempts at doing so. First, we report (...) evidence from diachronic corpora. Second, we describe a game-theoretic model that relates listener’s interest in speaker intentions to the average degree of speaker-honesty in a population. Third, we report preliminary results of an experiment in which we tested if listeners were more likely to interpret an utterance as indexing speaker subjectivity when they perceived speakers as more powerful. We conclude that the listener-based hypothesis of subjectification is solid enough to warrant further investigation. (shrink)

More than a century after the publication of the two main corpora of curse tablets by Richard Wünsch and Auguste Audollent,1 defixiones are now a relatively well-established field of study. New collections, finding lists, and monographs have appeared over the last twenty-five years.2 Still, the relation to the Near Eastern sources, although noticed from the very beginning,3 has never been explored in full. Nor have there been many attempts to use the text on the tablets for investigations that go (...) beyond archaeology, epigraphy, or magic. In this note I would like to emphasise the dependence of Greek and Latin defixiones on older, oriental models, but at the same time show that the curses share some interesting features with the comparatively ‘new’ τέχνη of rhetoric, thus arguing for an interpretation of the magical incantations in the light of rhetorical theory - just as the early history of rhetoric cannot be separated completely from irrational practices and beliefs. (shrink)

This paper examines the ways in which the group of people now known as the Windrush generation, who moved to the UK in the period 1948–1971, have been represented in public discourse. This group has been adversely affected by the current ‘hostile environment’ policy in the UK regarding immigration. As I show, in the ensuing and highly critical debate, the government repeatedly positioned them as ‘good’ migrants and placed them in a binary opposition with ‘undesirable’ migrants, who they cite as (...) the intended target of their policy. Using diachronic corpora of parliamentary debates and national media, I compare this contemporary rhetoric with (a) Windrush representations in the 1940s and 1950s, and (b) contemporary representation of those the government constructs as unwanted migrants. Taking metaphor as a key for the comparison I show that there is very little continuity or overlap in how the Windrush migrants were discussed at the time of their arrival and in the current period. Instead, there is a much greater proximity in the past representations of the Windrush migrants and the current representations of ‘undesirable’ migrants. This mismatch in actual and perceived representation at the time of arrival indicates how nostalgia functions in migration discourses, even facilitating anti-immigration arguments. (shrink)