Sciweavers

Share
ACL
2012

Learning to Find Translations and Transliterations on the Web

8 years 6 months ago
Learning to Find Translations and Transliterations on the Web
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 runtime, 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.
Joseph Z. Chang, Jason S. Chang, Jyh-Shing Roger J
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where ACL
Authors Joseph Z. Chang, Jason S. Chang, Jyh-Shing Roger Jang
Comments (0)
books