Syntax-based statistical machine translation /
This book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based...
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| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2016]
|
| Series: | Synthesis lectures on human language technologies ;
lecture #33. |
| Subjects: | |
| Online Access: | Connect to this title online |
MARC
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| 100 | 1 | |a Williams, Philip |q (Philip James), |e author. |0 http://id.loc.gov/authorities/names/no2016149560 | |
| 245 | 1 | 0 | |a Syntax-based statistical machine translation / |c Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn. |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2016] | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (xvii, 190 pages) : |b illustrations. | ||
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| 490 | 1 | |a Synthesis lectures on human language technologies ; |v #33 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Models -- Learning from parallel text -- Decoding I : preliminaries -- Decoding II : tree decoding -- Decoding III : string decoding -- Selected topics -- Closing remarks. | |
| 520 | 3 | |a This book provides a comprehensive introduction to the most popular syntax-based statistical machine translation models, filling a gap in the current literature for researchers and developers in human language technologies. While phrase-based models have previously dominated the field, syntax-based approaches have proved a popular alternative, as they elegantly solve many of the shortcomings of phrase-based models. The heart of this book is a detailed introduction to decoding for syntax-based models. The book begins with an overview of synchronous-context free grammar (SCFG) and synchronous tree-substitution grammar (STSG) along with their associated statistical models. It also describes how three popular instantiations (Hiero, SAMT, and GHKM) are learned from parallel corpora. It introduces and details hypergraphs and associated general algorithms, as well as algorithms for decoding with both tree and string input. Special attention is given to efficiency, including search approximations such as beam search and cube pruning, data structures, and parsing algorithms. The book consistently highlights the strengths (and limitations) of syntax-based approaches, including their ability to generalize phrase-based translation units, their modeling of specific linguistic phenomena, and their function of structuring the search space. | |
| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed July 31, 2017) | |
| 650 | 0 | |a Machine translating. |0 http://id.loc.gov/authorities/subjects/sh85079361 | |
| 650 | 0 | |a Translating and interpreting |x Data processing. | |
| 650 | 7 | |a Machine translating. |2 fast |0 (OCoLC)fst01004851 |0 http://id.worldcat.org/fast/1004851 | |
| 650 | 7 | |a Translating and interpreting |x Data processing. |2 fast |0 (OCoLC)fst01154798 |0 http://id.worldcat.org/fast/1154798 | |
| 650 | 7 | |a Translating and interpreting. |2 fast |0 (OCoLC)fst01154795 | |
| 700 | 1 | |a Sennrich, Rico, |e author. |0 http://id.loc.gov/authorities/names/no2016153527 | |
| 700 | 1 | |a Post, Matt, |e author. |0 http://id.loc.gov/authorities/names/no2016150681 | |
| 700 | 1 | |a Koehn, Philipp, |e author. |0 http://id.loc.gov/authorities/names/nb2010001106 | |
| 740 | 0 | |a Springer Nature Synthesis Collection of Technology Collection 7. | |
| 776 | 0 | 8 | |i Print version: |a Williams, Philip (Philip James). |t Syntax-based statistical machine translation. |d [San Rafael, California] : Morgan & Claypool Publishers, [2016] |z 1627059008 |w (OCoLC)958357358 |
| 830 | 0 | |a Synthesis lectures on human language technologies ; |v lecture #33. |0 http://id.loc.gov/authorities/names/no2009100468 | |
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