💡[Feature]: Desiging a Part of speech tagger using hidden markov model

[Shantnu-singh]

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Feature Description

A Part-of-Speech tagger using a Hidden Markov Model (HMM) assigns grammatical categories to words in a sentence based on learned probabilities. It predicts the most likely sequence of tags by considering both the current word and the previous tags.

Use Case

This POS tagger is essential in natural language processing for tasks like text analysis, speech recognition, and machine translation, where accurate tagging improves understanding and interpretation of language structure.

Benefits

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Priority

High

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• I have read the Contributing Guidelines
• I'm a GSSOC'24 contributor
• I want to work on this issue

[github-actions]

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

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[github-actions]

Hello @Shantnu-singh! Your issue #1123 has been closed. Thank you for your contribution!