Abstract
This paper studies named entity translation and proposes "selective temporality" as a new feature, as using temporal features may be harmful for translating "atemporal" entities. Our key contribution is building an automatic classifier to distinguish temporal and atemporal entities then align them in separate procedures to boost translation accuracy by 6.1%.
| Original language | English |
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| Title of host publication | Short Papers |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 201-205 |
| Number of pages | 5 |
| ISBN (Print) | 9781937284510 |
| Publication status | Published - 2013 Jan 1 |
| Event | 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria Duration: 2013 Aug 4 → 2013 Aug 9 |
Publication series
| Name | ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference |
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| Volume | 2 |
Other
| Other | 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 |
|---|---|
| Country | Bulgaria |
| City | Sofia |
| Period | 13/8/4 → 13/8/9 |
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All Science Journal Classification (ASJC) codes
- Language and Linguistics
- Linguistics and Language
Cite this
You, G. W., Cha, Y. R., Kim, J., & Hwang, S. W. (2013). Enriching entity translation discovery using selective temporality. In Short Papers (pp. 201-205). (ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference; Vol. 2). Association for Computational Linguistics (ACL).