data2lang2vec: Data Driven Typological Features Completion
Published in arXiv (Cornell University) • Sep 25, 2024
NobleIDNI4P98W70R02S48
Authors:,,
Hamidreza Amirzadeh
S Jafari
Anika Harju
Abstract
Language typology databases enhance multi-lingual Natural Language Processing (NLP) by improving model adaptability to diverse linguistic structures. The widely-used lang2vec toolkit integrates several such databases, but its coverage remains limited at 28.9\%. Previous work on automatically increas...
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