SPMT: Statistical Machine Translation with Syntactified Target Language Phrases

نویسندگان

  • Daniel Marcu
  • Wei Wang
  • Abdessamad Echihabi
  • Kevin Knight
چکیده

We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline model by 2.64 Bleu points on the NIST 2003 Chinese-English test corpus and 0.28 points on a humanbased quality metric that ranks translations on a scale from 1 to 5.

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تاریخ انتشار 2006