An Advanced Approach for Rule Based English to Bengali Machine Translation

摘要

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.