SPMT: Statistical Machine Translation with Syntactified Target Language Phrases

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.

• Type: Conference
• Year: 2006
• Where: EMNLP
• Authors: Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin Knight
• Keywords: Art Phrase-based Baseline, Chinese-English Test Corpus, EMNLP 2006, EMNLP 2007, Statistical Translation Models