Syntax-Based Statistical Machine Translation
This unique 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 th…
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Produktdetails
Weitere Autoren: Gertz, Michael / Post, Matt
- ISBN: 978-1-62705-900-8
- EAN: 9781627059008
- Produktnummer: 20601880
- Verlag: Morgan & Claypool Publishers
- Sprache: Englisch
- Erscheinungsjahr: 2016
- Seitenangabe: 210 S.
- Masse: H23.5 cm x B19.1 cm x D1.1 cm 402 g
- Abbildungen: Paperback
- Gewicht: 402
Über den Autor
After starting life as an economist, Phil spent the next 35 years working in business and management consulting, where he specialised in strategic planning and business improvement. He has worked for many of Australia's largest companies in mining & resources, manufacturing, utilities, telecommunications, finance, professional services and all levels of government across Australia and the Pacific. Phil maintained an active interest in economics and was one of the few analysts globally to publicly predict the GFC.
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