vaskonov/burvec
Word Embeddings for Low Resource Languages: The Case of Buryat
This project offers a method to create 'word embeddings' for languages with limited digital text resources, like Buryat. It takes a small collection of text in such a language and outputs word vectors, which are numerical representations of words capturing their semantic meaning. This is for researchers and computational linguists working on preserving and analyzing under-resourced languages.
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Use this if you need to develop language processing tools or conduct linguistic analysis for a low-resource language and lack standard NLP instruments like lemmatizers.
Not ideal if you are working with a widely-spoken language that already has extensive natural language processing resources available.
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Mar 12, 2025
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