Dependency Forest for Statistical Machine Translation

We propose a structure called dependency forest for statistical machine translation. A dependency forest compactly represents multiple dependency trees. We develop new algorithms for extracting string-todependency rules and training dependency language models. Our forest-based string-to-dependency system obtains sig

• Type: Journal
• Year: 2010
• Where: COLING
• Authors: Zhaopeng Tu, Yang Liu, Young-Sook Hwang, Qun Liu, Shouxun Lin
• Keywords: COLING 2010, Computational Linguistics, Dependency Forest, Dependency Language Models, Multiple Dependency Trees