We present a quasi-synchronous dependency grammar (Smith and Eisner, 2006) for machine translation in which the leaves of the tree are phrases rather than words as in previous wor...
Selecting the right word translation among several options in the lexicon is a core problem for machine translation. We present a novel approach to this problem that can be traine...
We introduce SPMT, a new class of statistical Translation Models that use Syntactified target language Phrases. The SPMT models outperform a state of the art phrase-based baseline...
Daniel Marcu, Wei Wang, Abdessamad Echihabi, Kevin...
This paper proposes a method that automatically acquires the SAs (semantic attributes) of user defined words. Applyingthis method to the compilation of a user dictionary targeting...
We present the newest implementation of the LINGSTAT machine-aided translation system. The moat signiflcsat change from earlier versions is a new set of modules that produce a dra...
Jonathan Yamron, James Cant, Anne Demedts, Taiko D...