Date of Original Version



Conference Proceeding

Journal Title

Proceedings of the Named Entity Workshop (NEWS)

First Page


Last Page


Rights Management

Copyright 2012 ACL

Abstract or Description

We consider the task of generating transliterated word forms. To allow for a wide range of interacting features, we use a conditional random field (CRF) sequence labeling model. We then present two innovations: a training objective that optimizes toward any of a set of possible correct labels (since more than one transliteration is often possible for a particular input), and a k-best reranking stage to incorporate nonlocal features. This paper presents results on the Arabic-English transliteration task of the NEWS 2012 workshop.



Published In

Proceedings of the Named Entity Workshop (NEWS), 66-70.