What Can Syntax-Based MT Learn from Phrase-Based MT?

We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly describe each model, highlighting points where they differ. We include a quantitative comparison of the phrase pairs that each model has to work with, as well as the reasons why some phrase pairs are not learned by the syntax-based model. We then evaluate proposed improvements to the syntax-based extraction techniques in light of phrase pairs captured. We also compare the translation accuracy for all variations.

• Type: Conference
• Year: 2007
• Where: EMNLP
• Authors: Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel Marcu
• Keywords: EMNLP 2007, Machine Translation Model, Natural Language Processing, Phrase Pairs, Syntax-based Machine Translation