Learning to find translations and transliterations on the web

Authors:
Joseph Z. Chang;Jason S. Chang;Jyh-Shing Roger Jang
Affiliations:
National Tsing Hua University, Hsinchu, Taiwan;National Tsing Hua University, Hsinchu, Taiwan;National Tsing Hua University, Hsinchu, Taiwan
Venue:
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Year:
2012

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Abstract

In this paper, we present a new method for learning to finding translations and transliterations on the Web for a given term. The approach involves using a small set of terms and translations to obtain mixed-code snippets from a search engine, and automatically annotating the snippets with tags and features for training a conditional random field model. At run-time, the model is used to extracting translation candidates for a given term. Preliminary experiments and evaluation show our method cleanly combining various features, resulting in a system that outperforms previous work.