yzhangcs/parser
:rocket: State-of-the-art parsers for natural language.
SuPar helps Natural Language Processing (NLP) researchers and engineers analyze how words in a sentence relate to each other. It takes raw text or pre-tokenized sentences as input and outputs detailed linguistic structures like dependency trees or constituency parses, showing grammatical relationships between words. This is useful for anyone building systems that need to understand sentence structure, such as chatbots or advanced search engines.
878 stars. No commits in the last 6 months.
Use this if you need to perform detailed grammatical analysis of sentences to understand the relationships between words and phrases in over 19 languages.
Not ideal if you're looking for a simple keyword extractor or a tool for basic text classification without needing deep syntactic or semantic understanding.
Stars
878
Forks
153
Language
Python
License
MIT
Category
Last pushed
Sep 03, 2023
Commits (30d)
0
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