World Academy of Science, Engineering and Technology
Published February 1, 2017 | Version 10006612
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Study of Syntactic Errors for Deep Parsing at Machine Translation

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Syntactic parsing is vital for semantic treatment by many applications related to natural language processing (NLP), because form and content coincide in many cases. However, it has not yet reached the levels of reliable performance. By manually examining and analyzing individual machine translation output errors that involve syntax as well as semantics, this study attempts to discover what is required for improving syntactic and semantic parsing.

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