Lexical Diversity in Kinship Across Languages and Dialects
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Abstract (arXiv)
Languages are known to describe the world in diverse ways. Across lexicons, diversity is pervasive, appearing through phenomena such as lexical gaps and untranslatability. However, in computational resources, such as multilingual lexical databases, diversity is hardly ever represented. In this paper, we introduce a method to enrich computational lexicons with content relating to linguistic diversity. The method is verified through two large-scale case studies on kinship terminology, a domain known to be diverse across languages and cultures: one case study deals with seven Arabic dialects, while the other one with three Indonesian languages. Our results, made available as browseable and downloadable computational resources, extend prior linguistics research on kinship terminology, and provide insight into the extent of diversity even within linguistically and culturally close communities.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 11 of its 68 references that are in the map. First posted on arXiv 24 Aug 2023.
Builds on
11 of 68 references.
References · 11
- 2022One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesiacited by 66
- 2022UniMorph 4.0: Universal Morphologycited by 11
- 2020A Corpus for Large-Scale Phonetic Typologycited by 9
- 2022Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinshipcited by 9
- 2022Language Diversity: Visible to Humans, Exploitable by Machinescited by 8
- 2023Towards Bridging the Digital Language Dividecited by 7
- 2023A semantics-driven methodology for high-quality image annotationcited by 6
- 2019Modeling Color Terminology Across Thousands of Languagescited by 5
- 2021Bhasacitra: Visualising the dialect geography of South Asiacited by 4
- 2023Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injusticecited by 4
- 2021Classifying concepts via visual propertiescited by 3
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Citing papers per year: 2024: 3; 2025: 0; 2026: 1.
4 papers.
- 2026Discovering Lexical Gaps Using Embeddings from Multilingual LLMs23 May 2026
- 2024Crowdsourcing Lexical Diversity30 Oct 2024
- 2024Locally Measuring Cross-lingual Lexical Alignment: A Domain and Word Level Perspective7 Oct 2024
- 2024Advancing the Arabic WordNet: Elevating Content Quality29 Mar 2024