The goal of the DARPA MADCAT (Multilingual Automatic Document Classification Analysis and Translation) Program is to automatically convert foreign language text images into Englis...
The MT system described in this paper combines hand-built analysis and generation components with automatically learned example-based transfer patterns. Up to now, the transfer co...
In this paper, we describe our work on building a parallel treebank for a less studied and typologically dissimilar language pair, namely Swedish and Turkish. The treebank is a ba...
Program parallelization requires mapping computation and data to processing elements. Navigational Programming (NavP), based on the principle of migrating computations, offers a d...
Lei Pan, Jingling Xue, Ming Kin Lai, Michael B. Di...
We describe a syntactically annotated parallel corpus containing English, Swedish and Turkish. The corpus consists of approximately 300 000 tokens in Swedish, 160 000 in Turkish a...