Syntax based Statistical Machine Translation is popular PDF and ePub book, written by Philip Williams in 2022-05-31, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Syntax based Statistical Machine Translation can be Read Online from any device for your convenience.
Syntax based Statistical Machine Translation Book PDF Summary
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 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.
Detail Book of Syntax based Statistical Machine Translation PDF
- Author : Philip Williams
- Release : 31 May 2022
- Publisher : Springer Nature
- ISBN : 9783031021640
- Genre : Computers
- Total Page : 190 pages
- Language : English
- PDF File Size : 18,5 Mb
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