We propose several techniques for improving statistical machine translation between closely-related languages with scarce resources. We use character-level translation trained on ...
In an ordinary syntactic parser, the input is a string, and the grammar ranges over strings. This paper explores generalizations of ordinary parsing algorithms that allow the inpu...
This paper describes an accurate and robust text alignment system for structurally different languages. Among structurally different languages such as Japanese and English, there ...
This paper studies evolutionary clustering, which is a recently hot topic with many important applications, noticeably in social network analysis. In this paper, based on the rece...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
In statistical machine translation, single-word based models have an important deficiency; they do not take contextual information into account for the translation decision. A poss...