Bitext Alignment

Bitext Alignment

Jorg Tiedemann,
ISBN: 9781608455102 | PDF ISBN: 9781608455119
Copyright © 2011 | 165 Pages | Publication Date: 01/01/2011

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This book provides an overview of various techniques for the alignment of bitexts. It describes general concepts and strategies that can be applied to map corresponding parts in parallel documents on various levels of granularity. Bitexts are valuable linguistic resources for many different research fields and practical applications. The most predominant application is machine translation, in particular, statistical machine translation. However, there are various other threads that can be followed which may be supported by the rich linguistic knowledge implicitly stored in parallel resources. Bitexts have been explored in lexicography, word sense disambiguation, terminology extraction, computer-aided language learning and translation studies to name just a few. The book covers the essential tasks that have to be carried out when building parallel corpora starting from the collection of translated documents up to sub-sentential alignments. In particular, it describes various approaches to document alignment, sentence alignment, word alignment and tree structure alignment. It also includes a list of resources and a comprehensive review of the literature on alignment techniques.

Table of Contents

Basic Concepts and Terminology
Building Parallel Corpora
Sentence Alignment
Word Alignment
Phrase and Tree Alignment
Concluding Remarks

About the Author(s)

Jorg Tiedemann, Uppsala University
Jorg Tiedemann is currently employed as a visiting professor of computational linguistics at the Department of Linguistics and Philology at Uppsala University,Sweden.He got his Ph.D.from the same department in 2003. His work is mainly focused on machine translation, question answering and data mining from multilingual resources. He has initiated and still maintains a freely available collection of parallel corpora (OPUS), which is widely used and appreciated.



Overall, Bitext Alignment is a very well written book which comprehensively addresses all aspects of bitext alignment. It is self-contained and requires only a basic prior knowledge of the theory of probability and statistics. It is a valuable contribution to the community and will be appreciated especially by students and researchers entering the field or interested in getting a complete overview of this extensively studied research topic. The only thing which a reader might miss, in this otherwise very well-written book, is a detailed comparative evaluation of the alternative approaches described at each alignment task, but for those who are interested, enough references are provided throughout the book.
Pavel Pecina - Charles University in Prague

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