Machine Translation, Yorick Wilks

Автор: Joseph Olive, Caitlin Christianson, John McCary
Название: Handbook of Natural Language Processing and Machine Translation
ISBN: 1441977120 ISBN-13(EAN): 9781441977120
Издательство: Springer
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Описание: This comprehensive handbook, written by leading experts in the field, details the groundbreaking research conducted under the breakthrough GALE program--The Global Autonomous Language Exploitation within the Defense Advanced Research Projects Agency (DARPA), while placing it in the context of previous research in the fields of natural language and signal processing, artificial intelligence and machine translation.The most fundamental contrast between GALE and its predecessor programs was its holistic integration of previously separate or sequential processes. In earlier language research programs, each of the individual processes was performed separately and sequentially: speech recognition, language recognition, transcription, translation, and content summarization. The GALE program employed a distinctly new approach by executing these processes simultaneously. Speech and language recognition algorithms now aid translation and transcription processes and vice versa. This combination of previously distinct processes has produced significant research and performance breakthroughs and has fundamentally changed the natural language processing and machine translation fields.This comprehensive handbook provides an exhaustive exploration into these latest technologies in natural language, speech and signal processing, and machine translation, providing researchers, practitioners and students with an authoritative reference on the topic.

Автор: Deyi Xiong; Min Zhang
Название: Linguistically Motivated Statistical Machine Translation
ISBN: 9811013659 ISBN-13(EAN): 9789811013652
Издательство: Springer
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Описание: This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT).

Автор: F. Derek Wong; Deyi Xiong
Название: Machine Translation
ISBN: 9811071330 ISBN-13(EAN): 9789811071331
Издательство: Springer
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Цена: 8384.00 р.
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Описание: This book constitutes the refereed proceedings of the 13th China Workshop on Machine Translation, CWMT 2017, held in Dalian, China, in September 2017.
The 10 papers presented in this volume were carefully reviewed and selected from 26 submissions and focus on all aspects of machine translation, including preprocessing, neural machine translation models, hybrid model, evaluation method, and post-editing.

Автор: George Tambouratzis; Marina Vassiliou; Sokratis So
Название: Machine Translation with Minimal Reliance on Parallel Resources
ISBN: 3319631055 ISBN-13(EAN): 9783319631059
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book provides a unified view on a new methodology for Machine Translation (MT). In this book, a detailed presentation of the methodology principles and system architecture is followed by a series of experiments, where the proposed system is compared to other MT systems using a set of established metrics including BLEU, NIST, Meteor and TER.

Автор: Koehn, Philipp
Название: Statistical machine translation
ISBN: 0521874157 ISBN-13(EAN): 9780521874151
Издательство: Cambridge Academ
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Описание: Automatic language translation systems like those used by Google, have been revolutionized by recent advances in the methods used in statistical machine translation. This first textbook on the topic explains these innovations carefully and shows the reader, whether a student or a developer, how to build their own translation system.

Автор: Xiaodong Shi; Yidong Chen
Название: Machine Translation
ISBN: 3662457008 ISBN-13(EAN): 9783662457009
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the 10th China Workshop on Machine Translation, CWMT 2014, held in Macau, China, in November 2014. The 10 revised full English papers presented were carefully reviewed and selected from 15 submissions of English papers. The papers cover the following topics: machine translation; data selection;

Автор: Muyun Yang; Shujie Liu
Название: Machine Translation
ISBN: 9811036349 ISBN-13(EAN): 9789811036347
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 12th China Workshop on Machine Translation, CWMT 2016, held in Urumqi, China, in August 2016. The 10 English papers presented in this volume were carefully reviewed and selected from 76 submissions.

Автор: Costa-juss?
Название: Hybrid Approaches to Machine Translation
ISBN: 3319213105 ISBN-13(EAN): 9783319213101
Издательство: Springer
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Цена: 11878.00 р.
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Описание: This volume provides an overview of thefield of Hybrid Machine Translation (MT) and presents some of the latestresearch conducted by linguists and practitioners from differentmultidisciplinary areas. Nowadays, most important developments in MT are achievedby combining data-driven and rule-based techniques. These combinationstypically involve hybridization of different traditional paradigms, such as theintroduction of linguistic knowledge into statistical approaches to MT, theincorporation of data-driven components into rule-based approaches, orstatistical and rule-based pre- and post-processing for both types of MTarchitectures.The book is of interest primarily to MTspecialists, but also – in the wider fields of Computational Linguistics,Machine Learning and Data Mining – to translators and managers of translationcompanies and departments who are interested in recent developments concerningautomated translation tools.

Автор: Deyi Xiong; Min Zhang
Название: Linguistically Motivated Statistical Machine Translation
ISBN: 9812873554 ISBN-13(EAN): 9789812873552
Издательство: Springer
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Описание: This book provides a wide variety of algorithms and models to integrate linguistic knowledge into Statistical Machine Translation (SMT).

Автор: M. Carl; Andy Way
Название: Recent Advances in Example-Based Machine Translation
ISBN: 1402014007 ISBN-13(EAN): 9781402014000
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Gives an overview of Example-Based Machine Translation (EBMT) techniques and provides a coherent structure in which aspects of EBMT are embedded. This book is useful for program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval.

Автор: Sara Dicerto
Название: Multimodal Pragmatics and Translation
ISBN: 3319693433 ISBN-13(EAN): 9783319693439
Издательство: Springer
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Описание: This book proposes a new model for the translation-oriented analysis of multimodal source texts. This three-dimensional view offers a holistic understanding of multimodal texts and their potential translation issues to help translators improve the way they communicate multimodally across languages and cultures.

Автор: Michael Carl; Srinivas Bangalore; Moritz Schaeffer
Название: New Directions in Empirical Translation Process Research
ISBN: 3319373064 ISBN-13(EAN): 9783319373065
Издательство: Springer
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Описание: ГЇВїВЅ ГЇВїВЅ This volume provides a comprehensive introduction to the Translation Process Research Database (TPR-DB), which was compiled by the Centre for Research and Innovation in Translation and Technologies (CRITT).