shubham0204/postagger.rs

NLTK inspired Parts-of-Speech Tagger (Perceptron Tagger) in Rust

20
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Experimental

This tool helps language technology developers analyze text by identifying the grammatical role of each word in a sentence. You provide a piece of text, and it outputs each word paired with its part-of-speech tag (like noun, verb, adjective). This is useful for anyone building applications that need to understand sentence structure, such as search engines, chatbots, or content analysis tools.

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Use this if you are a developer building an application in Rust, C, or Java that requires accurate and efficient part-of-speech tagging to process and understand natural language.

Not ideal if you are a non-developer or prefer a high-level API for natural language processing without direct code integration.

natural-language-processing text-analysis language-modeling information-retrieval computational-linguistics
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Language

Rust

License

Apache-2.0

Last pushed

Apr 12, 2024

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0

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