|
|
|||
|
||||
OverviewThis 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 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. Full Product DetailsAuthor: Philip Williams , Michael Gertz , Matt Post , Philipp KoehnPublisher: Morgan & Claypool Publishers Imprint: Morgan and Claypool Life Sciences Dimensions: Width: 19.10cm , Height: 1.10cm , Length: 23.50cm Weight: 0.405kg ISBN: 9781627059008ISBN 10: 1627059008 Pages: 208 Publication Date: 30 August 2016 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Postgraduate, Research & Scholarly Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationUniversity of Edinburgh|Heidelberg University, Germany|Johns Hopkins University|Johns Hopkins University Tab Content 6Author Website:Countries AvailableAll regions |