{"title":"Pragmatic representations of sensitive terms for people with disabilities in online English learner’s dictionaries","authors":"","doi":"10.1093/ijl/ecag043","DOIUrl":"https://doi.org/10.1093/ijl/ecag043","url":null,"abstract":"<span class=\"paragraphSection\">This paper investigates the pragmatic representations of sensitive terms for people with disabilities in four British online English learner’s dictionaries through an analysis of twenty-one lexical items. It examines how pragmatic information is conveyed through a range of lexicographic devices, including usage labels, usage notes, definitions with embedded pragmatic guidance, and pragmatic glosses. It also explores key characteristics and limitations of current usage-labelling practices. On the basis of these findings, the paper proposes several measures to improve the labelling of disability-related sensitive terms, including providing clearer and accessible explanations of usage labels, adopting more transparent and principled labelling practices, giving greater consideration to in-group usage, and conducting more frequent reviews and updates of usage labelling. By identifying both the strengths and limitations of existing practices, this study contributes to discussions on how dictionaries can provide a more inclusive and socially responsible representation of sensitive language.</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"15 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149360436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Beyond Neutrality: Detecting Polarity Divergence in AI-generated Dictionary Definitions Via Sentiment Screening","authors":"","doi":"10.1093/ijl/ecag041","DOIUrl":"https://doi.org/10.1093/ijl/ecag041","url":null,"abstract":"<span class=\"paragraphSection\">Generative AI (GenAI) offers efficiency gains for lexicography but raises epistemological concerns, as its probabilistic consensus may flatten semantic complexity. This study investigates the boundaries of GenAI’s capacity in generating lexical definitions. Comparing 260 U.S. political lemmata from the Oxford English Dictionary (OED) with definitions produced by DeepSeek-3.2, Gemini-3, and ChatGPT-5, we analysed sentiment polarity with two instruments of different architecture: a discrete three-way classifier (Stanza) at sentence level, and a continuous valence measure (VADER) applied to whole definitions. Macro-level aggregate screening showed no source differing significantly from the OED. Micro-level comparisons, however, revealed systematic divergences: the two instruments disagree systematically, and that disagreement makes the distinction between descriptive polarity and polarity divergence observable. AI definitions were generally more concise, but some sacrificed semantic completeness. Crucially, divergences varied across models and lemmata, suggesting data- and model-specific influences rather than generalized political bias. This study extends sentiment analysis from descriptive tool to epistemological probe, reconfiguring the human–AI division of labour: the lexicographer’s core task shifts from comprehensive revision to targeted anomaly detection, treating anomalies as diagnostic signals requiring subsequent in-depth qualitative review.</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"34 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149305007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Donna M T Cr Farina, Alenka Vrbinc, Marjeta Vrbinc
{"title":"In the trenches of lemma choice in immigrant dictionaries","authors":"Donna M T Cr Farina, Alenka Vrbinc, Marjeta Vrbinc","doi":"10.1093/ijl/ecag037","DOIUrl":"https://doi.org/10.1093/ijl/ecag037","url":null,"abstract":"Immigrant dictionaries can be viewed as a subtype of learner’s dictionaries tailored to the needs of immigrants and refugees. As in learner lexicography more generally, they must provide access not only to linguistic information but also to cultural knowledge that facilitates language learning and integration into the target society. In such dictionaries, cultural information is conveyed not only through explanatory components of entries and supplementary sections, but also through the selection of the lemmata themselves. Early Slovenian–English dictionaries produced in the United States were intended to assist Slovenian immigrants in navigating a new linguistic and cultural environment. This article examines whether such works can be regarded as immigrant dictionaries in terms of their lemma selection and their inclusion of culturally relevant vocabulary. Focusing on four dictionaries published between 1904 and 1919, the study analyzes the English and Slovenian lemma lists and compares selected segments of entries in order to identify patterns of selection and possible influences from earlier bilingual lexicographic sources. Particular attention is paid to the extent to which the target dictionaries include lexical material reflecting aspects of everyday life and cultural practices relevant to Slovenian immigrants in the United States. The analysis shows that the dictionaries differ considerably in how effectively they address the needs of their users. While some works display a clear awareness of the cultural context of immigrant life, others rely more heavily on lemma lists that appear to be inherited and not fully adapted to their users’ context. The findings contribute to an understanding of the early development of immigrant-oriented lexicography; the findings also address how lemma selection contributes to the overall usefulness of bilingual dictionaries for migrant communities.","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"1 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149241902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mixed feelings in (and about) the online Anglo-Norman dictionary : Middle English within the semantic category of Emotion","authors":"José Miguel Alcolado Carnicero","doi":"10.1093/ijl/ecag040","DOIUrl":"https://doi.org/10.1093/ijl/ecag040","url":null,"abstract":"This article investigates the presence of Middle English features within the semantic category of Emotion in the online version of the second edition of the Anglo-Norman dictionary (AND2) (Rothwell et al., 2006–). An analysis of the AND2 reveals seven emotion-field terms of English origin in texts from the Anglo-Norman period in Britain, though three of these entries remain unclassified as emotional. Furthermore, certain meanings appear under different grammatical categories or are absent from the current editions of two authoritative English historical dictionaries to which the AND2 is hyperlinked: The Middle English dictionary (McSparran et al., 2000–2018) and the Oxford English dictionary (Simpson & Proffitt, 2000–). While internal limitations exist, these do not undermine the AND2’s value, as they are amendable in future revisions. The external discrepancies underscore the necessity of the AND2, positioning it as an essential resource that bridges gaps in post-Conquest English lexicography and lexicology.","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"13 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149229882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Empirical research on the effect of multimodal definition on the acquisition of plant cultural words","authors":"Zhen Zeng, Qianqian Wang","doi":"10.1093/ijl/ecag027","DOIUrl":"https://doi.org/10.1093/ijl/ecag027","url":null,"abstract":"Multimodal definition has been a significant matter discussed in the field of contemporary lexicography. Accordingly, the construction and verification of multimodal entries have gradually emerged as an important direction in contemporary lexicography. This study proposed a framework for multimodally defining the plant cultural words, centered on “modal interaction, semantic representation, and media convergence”. Within the framework, ten sample multimodal entries were designed and manifested. Thirty-four intermediate Chinese language learners were selected as participants from the Confucius Institute in Cameroon. After filling in a questionnaire on modality preference, they engaged in learning these ten Chinese plant cultural words through the formats of monomodal definition and multimodal definition, respectively. Subsequently, they took both immediate and delayed tests to access their acquisition of plant cultural vocabulary. It found that multimodal definition integrating text, images, audio and video significantly promotes the acquisition of Chinese plant cultural words, compared to monomodal definition presented by only visual elements. It is highly consistent with the modality preference of Chinese language learners. This study is intended to provide empirical supports for the practice of constructing multimodal definition in Chinese-French learner’s dictionaries and offer referential insights for the compilation of entries regarding other types of cultural words.","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"10 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148821465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"100 scholarly echoes of generative AI in lexicography","authors":"","doi":"10.1093/ijl/ecag021","DOIUrl":"https://doi.org/10.1093/ijl/ecag021","url":null,"abstract":"<span class=\"paragraphSection\">A sample of 100 articles from the field of ‘GenAI and lexicography’ is used, effectively assembling it, to then perform a corpus analysis as well as a manual analysis. The corpus analysis covers a total of six fields: (1) Artificial Intelligence, (2) computational aspects, (3) tools, dictionaries, publishers and places, (4) journals, associations and languages, (5) names of researchers, and (6) lexicographic and linguistic topics. The manual analysis charts a timeline of the sample of 100 articles, and deals with the 15 different languages in which they are written, as well as the 32 different countries where they are published. The article concludes with the observation that one out of every five publications in the field of ‘GenAI in lexicography’ refers to the work of Patrick Hanks, citing no less than 34 different works by or for him.</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"11 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Citing the future: The legacy of Patrick Hanks","authors":"","doi":"10.1093/ijl/ecag022","DOIUrl":"https://doi.org/10.1093/ijl/ecag022","url":null,"abstract":"<span class=\"paragraphSection\">This contribution starts and ends with the work of Patrick Hanks (1940-2024), the forerunner of GenAI in lexicography, as well as the most impactful practical and theoretical lexicographer going into the future. Patrick Hanks, in other words, has most literally been ‘citing the future’ for many decades preceding that future. Following a preamble in which I look back to look forward, I take his <span style=\"font-style: italic;\">Festschrift</span> as a starting point, presented to him when he turned 70, and move on to his voluminous <span style=\"font-style: italic;\">International Handbook of Modern Lexis and Lexicography</span>, completed halfway upon his death. Next, and as a case study, I employ a sample of 100 articles from the field of ‘GenAI in lexicography’ to first chart the sample’s evaluations of earlier work. I then proceed by looking at (1) the languages studied in the sample, (2) the related academic disciplines that come into play, (3) the topics covered, (4) the perceived usefulness of ‘GenAI in lexicography’, (5) the AI tools used or discussed, and (6) the dictionary slots given attention. Based on all of this, the article concludes with the true impact of Patrick Hanks on GenAI in lexicography, both in academic terms (spanning a period of 40 years: from the COBUILD project in 1983 to the widespread utilisation of ChatGPT as of 2023) and personal terms (spanning a period of 35 years: from Ken Church in 1989 to G-M de Schryver in 2024).</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"33 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Is Generative AI a reliable collocation dictionary builder? Or isn’t it (yet)?","authors":"","doi":"10.1093/ijl/ecag019","DOIUrl":"https://doi.org/10.1093/ijl/ecag019","url":null,"abstract":"<span class=\"paragraphSection\">This study explores the potential of Generative AI (GenAI), specifically ChatGPT, for the acquisition and semantic organization of collocations in support of collocation-resource construction. We examine ChatGPT’s ability to generate English collocation candidates for eleven semantic collocation categories formalized as Lexical Functions (LFs). LFs are treated as a fine-grained intermediate analytical layer from which broader, user-oriented semantic groupings can be derived. Two prompting strategies are compared: a few-shot approach, in which the model receives twenty illustrative examples of a given LF and generates fifty further candidates, and an iterative profile-refinement approach, in which a lexicographer guides the model in constructing a semantic and syntactic LF profile subsequently used for sample generation. The outputs were manually evaluated by specialists in Explanatory Combinatorial Lexicology.The results show that the few-shot strategy captures some central semantic properties of several LFs, while profile refinement generally yields higher accuracy and greater semantic coherence, especially for semantically complex LFs. The acquired LF profiles were then used to prompt ChatGPT to construct a collocation-dictionary entry for <span style=\"font-variant: small-caps;\">Fear</span>, modelled on the format of the <span style=\"font-style: italic;\">Oxford Collocations Dictionary</span> (OCD). The comparison shows that LF-guided prompting favours semantic differentiation and explicit structural organization by sense and semantic function, whereas the OCD entry displays greater idiomatic selectivity and lexicographic compactness. Overall, LF-guided interaction with GenAI appears to be a promising semi-automatic instrument for compiling semantically structured collocation resources that can support dictionary construction, although expert validation, generalization, and post-editing remain necessary.</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"30 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Extraction and abstraction of lexicographic data through AI: The case of Body Part Nouns","authors":"","doi":"10.1093/ijl/ecag017","DOIUrl":"https://doi.org/10.1093/ijl/ecag017","url":null,"abstract":"<span class=\"paragraphSection\">This paper aims at exploring the use of Artificial Intelligence for lexicographic purposes. Focusing on a specific domain that is underrepresented in lexicographic works - namely, the domain of Body Part Nouns - the contribution employs AI to i) extract phraseological expressions and authentic examples in context, and to ii) organize the data according to specific properties, such as semantic domains and cognitive processes involved. The paper describes both the prompt-construction phase and the qualitative evaluation of the results obtained. Extraction tasks are compared with analysis tasks in order to identify the areas in which the LLM model achieves better performance and those where it still has limitations. While the primary focus of this contribution is on Italian data, the study also offers some contrastive insights into English.</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"42 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Large Language Models and the Restructuring of Lexicographic Ecology: A Macro–Micro Coupling Model","authors":"","doi":"10.1093/ijl/ecag020","DOIUrl":"https://doi.org/10.1093/ijl/ecag020","url":null,"abstract":"<span class=\"paragraphSection\">Generative artificial intelligence is driving both practical innovation and paradigm transformation in lexicography. Adopting a systems-theoretic ecological perspective, this study introduces the concept of “lexicographic ecology”, which integrates technology, product, user, and lexicographer into a unified analytical framework to examine how large language models are restructuring the field. A macro–micro dynamic coupling model is constructed to reveal the underlying mechanisms of this process. At the macro level, the restructuring follows a threefold logic of technology embedding→cognitive adjustment→value migration: technology serves as the initial driving force, triggering cognitive adjustments among users and lexicographers, which in turn drives the migration of the product's value. At the micro level, the four elements form a closed-loop structure in which any change in one element induces adaptive adjustments in the others. Macro dynamics and micro interactions mutually shape and continuously evolve, together constituting a dynamically coupled system. This framework offers a transferable analytical tool for studying lexicographic ecology in new technological environments and opens new theoretical avenues for lexicography in the age of AI.</span>","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"3 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}