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This project is a Part-of-Speech (POS) tagging application that leverages the Viterbi algorithm for sequence prediction, integrated with a user-friendly Streamlit-based graphical user interface (GUI). The application allows users to input a sentence and receive the corresponding POS tags for each word.

Home Page: https://cs626-hmm-pos.streamlit.app/

Python 100.00%

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