International Journal of Lexicography最新文献

Empirical research on the effect of multimodal definition on the acquisition of plant cultural words 多模态定义对植物文化词汇习得影响的实证研究

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-08-23 DOI: 10.1093/ijl/ecag027

Zhen Zeng, Qianqian Wang

{"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}

引用次数: 0

100 scholarly echoes of generative AI in lexicography 生成人工智能在词典编纂中的100个学术回响

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-08-05 DOI: 10.1093/ijl/ecag021

引用次数: 0

Citing the future: The legacy of Patrick Hanks 展望未来：帕特里克·汉克斯的遗产

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-08-05 DOI: 10.1093/ijl/ecag022

{"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":"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 Festschrift as a starting point, presented to him when he turned 70, and move on to his voluminous International Handbook of Modern Lexis and Lexicography, 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).","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}

引用次数: 0

Is Generative AI a reliable collocation dictionary builder? Or isn’t it (yet)? 生成AI是一个可靠的搭配字典生成器吗？还是（还）没有？

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-08-05 DOI: 10.1093/ijl/ecag019

{"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":"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 Fear, modelled on the format of the Oxford Collocations Dictionary (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.","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}

引用次数: 0

Extraction and abstraction of lexicographic data through AI: The case of Body Part Nouns 基于AI的词典数据提取与抽象：以身体部分名词为例

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-07-27 DOI: 10.1093/ijl/ecag017

引用次数: 0

Large Language Models and the Restructuring of Lexicographic Ecology: A Macro–Micro Coupling Model 大语言模型与词典编纂生态的重构：一个宏观-微观耦合模型

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-07-21 DOI: 10.1093/ijl/ecag020

{"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":"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.","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}

引用次数: 0

AMGthes: bridging Ancient and Modern Greek through an online thesaurus for educational purposes 桥梁古代和现代希腊通过一个在线同义词典为教育的目的

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-07-02 DOI: 10.1093/ijl/ecag016

引用次数: 0

Correction to: A bibliometric study of lexicography between 2003 and 2023 修正：2003年至2023年间词典编纂的文献计量学研究

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-06-25 DOI: 10.1093/ijl/ecag015

引用次数: 0

Metabolism of English Loanwords in Chinese: An Ecolinguistic Perspective 英语外来词在汉语中的代谢：生态语言学的视角

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-06-10 DOI: 10.1093/ijl/ecaf029

{"title":"Metabolism of English Loanwords in Chinese: An Ecolinguistic Perspective","authors":"","doi":"10.1093/ijl/ecaf029","DOIUrl":"https://doi.org/10.1093/ijl/ecaf029","url":null,"abstract":"This study investigates the metabolism of 329 English loanwords listed in the Modern Chinese Dictionary (MCD1-7) from an ecolinguistic perspective, focusing on their distribution, vitality, and endangerment. First, the synchronic ecology of these loanwords was analyzed using the MCD as a static corpus, which provides a comprehensive overview of their current status. Second, their diachronic ecology was evaluated through niche breadth measurements based on the Media Language Corpus (MLC), a dynamic corpus. To further validate the dynamic vitality of these loanwords, a Questionnaire of Lexical Acknowledgement was designed and implemented. The results reveal significant variation in the ecology of these loanwords, influenced by both external and internal factors, such as word length, frequency, semantic domain, part of speech, and translation method. Notably, only 113 loanwords exhibit medium ecological niches, indicating that approximately one third retain meaningful vitality. Among the 96 endangered loanwords, 32 are extinct, 39 are critically endangered, 19 are endangered, and 6 are vulnerable. The study underscores that the metabolism of English loanwords in Chinese is influenced by external factors (ecological environment) and internal factors (linguistic system).","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"37 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221527","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}

引用次数: 0

Comparing the Effectiveness of ChatGPT and Dictionaries in Second Language Vocabulary Learning ChatGPT与词典在二语词汇学习中的效果比较

IF 0.5 2区文学

International Journal of Lexicography Pub Date : 2026-06-08 DOI: 10.1093/ijl/ecag014

{"title":"Comparing the Effectiveness of ChatGPT and Dictionaries in Second Language Vocabulary Learning","authors":"","doi":"10.1093/ijl/ecag014","DOIUrl":"https://doi.org/10.1093/ijl/ecag014","url":null,"abstract":"This study compared the effectiveness of a widely used AI chatbot (ChatGPT) and an online dictionary (Cambridge Dictionary) in enhancing L2 vocabulary learning during word lookup. Ninety-three Saudi university students from various academic disciplines and institutions nationwide were assigned to three groups: ChatGPT, dictionary, and control. The ChatGPT and dictionary groups participated in an intervention where they looked up twenty lower-frequency words, while the control group received no treatment. Immediately afterward, all groups took posttests, and delayed posttests were administered one week later. Quantitative results showed no significant differences between the ChatGPT and dictionary groups on either outcome at either posttest. Although previous research has reported advantages for ChatGPT in lexical task performance, much of that work has focused on immediate outcomes rather than longer-term retention. Th findings of the present study suggest that both tools may provide sufficiently rich lexical input to support vocabulary learning. Overall, well-designed learner dictionaries remain pedagogically robust resources and continue to serve as a useful benchmark for evaluating emerging AI technologies.","PeriodicalId":45657,"journal":{"name":"International Journal of Lexicography","volume":"5 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2026-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221528","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}

引用次数: 0