We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
In this paper, with a belief that a language model that embraces a larger context provides better prediction ability, we present two extensions to standard n-gram language models ...
: Knowledge about market developments and competitor activities on the market becomes more and more a critical success factor for enterprises. The World Wide Web provides public do...
—Mobile robots that interact with humans in an intuitive way must be able to follow directions provided by humans in unconstrained natural language. In this work we investigate h...
This paper describes a Web-based English-Chinese concordance system, TotalRecall, developed to promote translation reuse and encourage authentic and idiomatic use in second langua...
Jian-Cheng Wu, Kevin C. Yeh, Thomas C. Chuang, Wen...