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An Advanced Approach for Rule Based English to Bengali Machine Translation

Authors

Chandranath Adak, University of Kalyani, India

Abstract

This paper introduces an advanced, efficient approach for rule based English to Bengali (E2B) machine translation (MT), where Penn-Treebank parts of speech (PoS) tags, HMM (Hidden Markov Model) Tagger is used. Fuzzy-If-Then-Rule approach is used to select the lemma from rule-based-knowledge. The proposed E2B-MT has been tested through F-Score measurement, and the accuracy is more than eighty percent.

Keywords

F-Score Measurement, Machine Translation, Rule Based Machine Translator

Full Text  Volume 3, Number 2