Titlebook: Machine Translation: From Research to Real Users; 5th Conference of th Stephen D. Richardson Conference proceedings 2002 Springer-Verlag Be

chandel

BET

開始發(fā)作

inveigh

新奇

plasma-cells

DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word-Level Alignmentwe introduce DUSTer, a method for systematically identifying common divergence types and transforming an English sentence structure to bear a closer resemblance to that of another language. Our ultimate goal is to enable more accurate alignment and projection of dependency trees in another language

形上升才刺激

Text Prediction with Fuzzy Alignmentsstatistical translation models can be applied within a usermodeling framework to improve translator productivity by over 10% in simulated results. For the sake of efficiency in making real-time predictions, these models ignore the alignment relation between source and target texts. In this paper we

清醒

吹牛大王

裂口

Example-Based Machine Translation via the Webose an example-based machine translation system which uses a ‘phrasal lexicon’ in addition to the aligned sentences in its database. These phrases are extracted from the Penn Treebank using the Marker Hypothesis as a constraint on segmentation. They are then translated by three on-line machine trans