Items related to Bitext Alignment (Synthesis Lectures on Human Language...

Bitext Alignment (Synthesis Lectures on Human Language Technologies, 14) - Softcover

Tiedemann, Jorg

 
9781608455102: Bitext Alignment (Synthesis Lectures on Human Language Technologies, 14)

Synopsis

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

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Review

“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.” – Pavel Pecina, Charles University in Prague

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