Publication | Open Access
SPMT
207
Citations
14
References
2006
Year
Unknown Venue
Natural Language ProcessingApplied LinguisticsComputer-assisted TranslationSyntaxSpmt ModelsEngineeringSpeech TranslationCorpus LinguisticsComputational LinguisticsNew ClassLanguage StudiesMultilingual PretrainingLarge Language ModelStatistical Translation ModelsLinguisticsText MiningMachine TranslationNeural Machine Translation
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 human-based quality metric that ranks translations on a scale from 1 to 5.
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