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CSE597

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CSE597 – Overview : The project provides you with experience in applying neural machine translation (NMT) techniques to natural language generation (NLG), and the novel issues involved in mapping a formal language to a natural language. The input to a machine translation system consists of sentences from one human language, and the output consists of translations of the same information into a different human language. In contrast, NLG takes a semantic representation from a structured semantic language as input, and produces a human language sentence as output. (Solution)

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