Parallel texts (bitexts) are a goldmine of linguistic knowledge, because the translation of a text into another language can be viewed as a detailed annotation of what that text means. Knowledge about translational equivalence, which can be gleaned from bitexts, is of central importance for applications such as manual and machine translation, cross-language information retrieval, and corpus linguistics. The availability of bitexts has increased dramatically since the advent of the Web, making their study an exciting new area of research in natural language processing. This book lays out the theory and the practical techniques for discovering and applying translational equivalence at the lexical level. It is a start-to-finish guide to designing and evaluating many translingual applications.
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About the Author
I. Dan Melamed is a research scientist in the Computer Science Research Department of West Group, Minnesota.
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- Computational Linguistics and Intelligent Text Processing: 4th International Conference, CICLing 2003, Mexico City, Mexico, February 16-22, 2003. Proceedings (Lecture Notes in Computer Science) by Alexander Gelbukh on page 431, and page 443
- Parallel Text Processing: Alignment and Use of Translation Corpora (Text, Speech and Language Technology) by Jean Véronis on page 47
- Machine Learning: ECML 2003: 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings (Lecture ... / Lecture Notes in Artificial Intelligence) by Nada Lavrac on page 216
- Machine Translation: From Research to Real Users: 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002 Tiburon, CA, ... / Lecture Notes in Artificial Intelligence) by Stephen D. Richardson on page 20
- Envisioning Machine Translation in the Information Future : 4th Conference of the Association for Machine Translation in the Americas, AMTA 2000 Cuernavaca, Mexico by John S. White on page 167
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