Using Linguistic Typology to Enrich Multilingual Lexicons: the Case of Lexical Gaps in Kinship
This work addresses the challenge of enriching multilingual lexicons for cross-lingual NLP tasks, such as machine translation evaluation, but is incremental as it builds on existing typological knowledge.
The paper tackled the problem of linguistic diversity in lexical resources by developing a method to infer lexical gaps semi-automatically, resulting in a resource with 198 concepts, 1,911 words, and 37,370 gaps across 699 languages for kinship terminology.
This paper describes a method to enrich lexical resources with content relating to linguistic diversity, based on knowledge from the field of lexical typology. We capture the phenomenon of diversity through the notions of lexical gap and language-specific word and use a systematic method to infer gaps semi-automatically on a large scale. As a first result obtained for the domain of kinship terminology, known to be very diverse throughout the world, we publish a lexico-semantic resource consisting of 198 domain concepts, 1,911 words, and 37,370 gaps covering 699 languages. We see potential in the use of resources such as ours for the improvement of a variety of cross-lingual NLP tasks, which we demonstrate through a downstream application for the evaluation of machine translation systems.