Example-Based Paraphrasing for Improved Phrase-Based Statistical Machine Translation

In this article, an original view on how to improve phrase translation estimates is proposed. This proposal is grounded on two main ideas: first, that appropriate examples of a given phrase should participate more in building its translation distribution; second, that paraphrases can be used to better estimate this distribution. Initial experiments provide evidence of the potential of our approach and its implementation for effectively improving translation performance.

• Type: Journal
• Year: 2010
• Where: EMNLP
• Authors: Aurélien Max
• Keywords: Appropriate Examples, EMNLP 2010, Main Ideas, Natural Language Processing, Original View