--- title: "Lang-Ching Yeh — author profile and papers in our library" description: "Lang-Ching Yeh, National Taiwan University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/lang-ching-yeh/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lang-ching-yeh/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lang-Ching Yeh # Lang-Ching Yeh Lang-Ching Yeh has 2 papers in our library, in 2026, most of them on [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Idioms & multiword expressions](https://md.research.elamur.ai/free/en/topics/multiword-expressions/); often with [Shu-Kai Hsieh](https://md.research.elamur.ai/free/en/authors/shu-kai-hsieh/), [Yu-Chieh Wang](https://md.research.elamur.ai/free/en/authors/yu-chieh-wang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139568439) · [**h-index 0**](https://openalex.org/authors/A5139568439) · [2 works](https://openalex.org/works?filter=author.id:A5139568439) · [0 citations](https://openalex.org/works?filter=author.id:A5139568439&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lang-ching-yeh/#papers) · [⭐ Paper Stars ranking: #13720](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13720) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lang-Ching+Yeh) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lang-Ching+Yeh) · [dblp](https://dblp.org/search?q=Lang-Ching+Yeh) · [ACL Anthology](https://aclanthology.org/search/?q=Lang-Ching+Yeh) ## Affiliations [🎓**National Taiwan University** Taipei · Taiwan 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Literature and Literary Theory · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/literature-and-literary-theory/) 🧭 Topics 3 Research subjects and languages the work is about.[Idioms & multiword expressions · 1 work](https://md.research.elamur.ai/free/en/topics/multiword-expressions/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Word sense disambiguation · 1 work](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/lang-ching-yeh/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Capturing Ancient Chinese Sense Induction with Automatic Pipelines](https://md.research.elamur.ai/free/en/papers/tseng-2026-capturing-ancient-chinese-sense-induction/)** *(2026)* Computational resources that trace how word meanings evolve are scarce for Ancient Chinese, a gap this paper addresses. 2. **[Lexical Familiarity Predicts Processing Depth for Nonliteral Language in Large Language Models](https://md.research.elamur.ai/free/en/papers/yeh-2026-lexical-familiarity-predicts-processing-depth/)** *(2026)* The paper asks whether large language models handle different kinds of nonliteral language at different depths, and what principle governs this. ## Co-authors here 2 co-authors with a page, the most papers together first. - [Shu-Kai Hsieh](https://md.research.elamur.ai/free/en/authors/shu-kai-hsieh/) ×2 - [Yu-Chieh Wang](https://md.research.elamur.ai/free/en/authors/yu-chieh-wang/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Workshop on Language Technologies for Historical and Ancient Languages @ LREC](https://md.research.elamur.ai/free/en/venues/lt4hala/): [Workshop on Language Technologies for Historical and Ancient Languages @ LREC 2026](https://md.research.elamur.ai/free/en/venues/lt4hala/2026/) - [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/): [Workshop on Trustworthy NLP 2026](https://md.research.elamur.ai/free/en/venues/trustnlp/2026/) Updated 2 November 2026