The present work describes a hybrid MT system from English to Bengali that uses the TnT tagger to assign POS category to tokens, identifies the phrases through a shallow analysis, retrieves the target phrases using a Phrasal Example Base and then finally assigns a meaning to the sentence as a whole by combining the target language translations of the constituent phrases.
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