kmkurn/id-pos-tagging
Indonesian part-of-speech (POS) tagging
This project helps linguists and computational linguists analyze Indonesian text by identifying the grammatical role of each word, such as noun, verb, or adjective. You provide raw Indonesian sentences and receive tagged sentences where each word is labeled with its part of speech. This is useful for researchers and developers working on natural language processing tasks for Indonesian.
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Use this if you need to accurately identify the part of speech for words in Indonesian text to support linguistic analysis or build other language processing applications.
Not ideal if you are working with languages other than Indonesian, or if you only need a simple word count rather than deep grammatical analysis.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 24, 2022
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