ngoquanghuy99/Hidden-Markov-Models-for-POS-Tagging
An implementation of HMM (Hidden Markov Model) for POS Tagging
This tool helps language analysts and computational linguists automatically identify the grammatical role of each word in an English sentence. You input raw English text, and it outputs each word paired with its correct part-of-speech tag, like 'noun' or 'verb'. This is useful for anyone working with textual data who needs to understand sentence structure for further analysis.
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Use this if you need to reliably assign grammatical tags to words in English text, especially for tasks like information extraction, machine translation, or text summarization.
Not ideal if you need to tag text in languages other than English or if you require extremely high accuracy for highly specialized or noisy text.
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Jupyter Notebook
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MIT
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Last pushed
Nov 26, 2020
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