Abstract
Parallel corpora are a valuable resource for machine translation, but at present their availability and utility is limited by genre- and domain-specificity, licensing restrictions, and the basic dificulty of locating parallel texts in all but the most dominant of the world’s languages. A parallel corpus resource not yet explored is the World Wide Web, which hosts an abundance of pages in parallel translation, offering a potential solution to some of these problems and unique opportunities of its own. This paper presents the necessary first step in that exploration: a method for automatically finding parallel translated documents on the Web. The technique is conceptually simple, fully language independent, and scalable, and preliminary evaluation results indicate that the method may be accurate enough to apply without human intervention.- Anthology ID:
- 1998.amta-papers.7
- Volume:
- Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers
- Month:
- October 28-31
- Year:
- 1998
- Address:
- Langhorne, PA, USA
- Editors:
- David Farwell, Laurie Gerber, Eduard Hovy
- Venue:
- AMTA
- SIG:
- Publisher:
- Springer
- Note:
- Pages:
- 72–82
- Language:
- URL:
- https://link.springer.com/chapter/10.1007/3-540-49478-2_7
- DOI:
- Cite (ACL):
- Philip Resnik. 1998. Parallel strands: a preliminary investigation into mining the Web for bilingual text. In Proceedings of the Third Conference of the Association for Machine Translation in the Americas: Technical Papers, pages 72–82, Langhorne, PA, USA. Springer.
- Cite (Informal):
- Parallel strands: a preliminary investigation into mining the Web for bilingual text (Resnik, AMTA 1998)
- PDF:
- https://link.springer.com/chapter/10.1007/3-540-49478-2_7