Re-Ranking Approach

Grapheme-to-phoneme conversion (G2P) of names is an important and challenging prob- lem. The correct pronunciation of a name is often reflected in its transliterations, which are expressed within a different …...

Employing higher-order subtree structures in graph-based dependency parsing has shown substantial improvement over the accuracy, however suffers from the inefficiency increasing with the order of subtrees. We present a new …...

Sequential transduction tasks, such as grapheme-to-phoneme conversion and ma- chine transliteration, are usually addressed by inducing models from sets of input-output pairs. Supplemental representations offer valu- able additional information, but …...

A common model for question answering (QA) is that a good answer is one that is closely related to the question, where re- latedness is often determined using general- purpose …...

Research on grammatical error correction has received considerable attention. For dealing with all types of errors, grammatical error cor- rection methods that employ statistical ma- chine translation (SMT) have been …...

AbstractMachine translation provides powerful methods to convert text between languages, and is therefore a technology enabling a multilingual world. An important part of communication, however, takes place at the non-propositional …...

AbstractUnfamiliar terminology and complex language can present barriers to understanding science. Natural language processing stands to help address these issues by automatically defining unfamiliar terms. We introduce a new task …...