Papers by Jack Halpern

1 papers
Very Large-Scale Lexical Resources to Enhance Chinese and Japanese Machine Translation (L18-1)

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Challenge: A major issue in machine translation applications is the recognition and translation of named entities.
Approach: They propose to integrate Very Large-Scale Lexical Resources (VLSLR) with lexicons to improve machine translation accuracy.
Outcome: The proposed lexical resources can enhance the quality of MT in general and NMT systems, which currently don't use lexicons.

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