rokid/ELMo-chinese
Deep contextualized word representations for Chinese
This tool helps natural language processing practitioners generate meaningful representations for Chinese words. It takes your raw Chinese text data as input and produces contextualized word embeddings, which are numerical vectors that capture the nuances of words based on their surrounding text. This is useful for anyone working on Chinese language understanding tasks.
151 stars. No commits in the last 6 months.
Use this if you need to generate high-quality, context-aware numerical representations of Chinese words for tasks like text matching, sentiment analysis, or information retrieval.
Not ideal if you are looking for a complete end-to-end NLP solution rather than a tool specifically for generating word embeddings.
Stars
151
Forks
42
Language
Python
License
—
Category
Last pushed
Nov 21, 2019
Commits (30d)
0
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