Name: Syntax-Based Statistical Machine Translation (en Inglés)
Price: 296392.00 COP
Availability: InStock
Author: Williams, Philip ; Sennrich, Rico ; Post, Matt
ISBN: 9783031010361

portada Syntax-Based Statistical Machine Translation (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

190

Encuadernación

Tapa Blanda

Dimensiones

23.5 x 19.1 x 1.1 cm

Peso

0.37 kg.

ISBN13

9783031010361

N° edición

Categorías

Lingüísticas
Reconocimiento del habla
Procesamiento del sonido

Syntax-Based Statistical Machine Translation (en Inglés)

Philip Williams (Autor) · Rico Sennrich (Autor) · Matt Post (Autor) · Springer · Tapa Blanda

Libro Físico

$ 296.392

$ 455.988

Ahorras: $ 159.596

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Syntax-Based Statistical Machine Translation (en Inglés)"

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, includingsearch 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.