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A Memory-Efficient Tool for Bengali Parts of Speech Tagging

Shadikun Nahar Sakiba Md Nasir Uddin Shuvo Najia Hossain Samir Kumar Das Joyita Das Mela Md. Adnanul Islam
2020 · Lecture Notes in Networks and Systems · pp. 67-78 · 7 citations · 17 references
Computer Science

TL;DR

This study develops a rule-based parts of speech tagging tool specifically for those people who want to learn or research on Bengali grammar and proposes and endeavor to implement this tool with an intent to achieve higher accuracy by optimizing memory overhead.

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