Machine Translation, Yorick Wilks

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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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: 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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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: 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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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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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: 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).

Автор: Jan W. Amtrup
Название: Incremental Speech Translation
ISBN: 3540667539 ISBN-13(EAN): 9783540667537
Издательство: Springer
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Автор: Wolfgang Wahlster
Название: Verbmobil: Foundations of Speech-to-Speech Translation
ISBN: 3540677836 ISBN-13(EAN): 9783540677833
Издательство: Springer
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Описание: Verbmobil is the result of eight years of intensive research in a large speech-to-speech translation project, executed by a consortium comprising 19 academic and four industrial partners. This book gives a comprehensive overview of the results of this project in human language technology.

Автор: Wolfgang Wahlster
Название: Verbmobil: Foundations of Speech-to-Speech Translation
ISBN: 3642087302 ISBN-13(EAN): 9783642087301
Издательство: Springer
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Описание: In 1992 it seemed very difficult to answer the question whether it would be possible to develop a portable system for the automatic recognition and translation of spon- taneous speech. Previous research work on speech processing had focused on read speech only and international projects aimed at automated text translation had just been terminated without achieving their objectives. Within this context, the German Federal Ministry of Education and Research (BMBF) made a careful analysis of all national and international research projects conducted in the field of speech and language technology before deciding to launch an eight-year basic-research lead project in which research groups were to cooperate in an interdisciplinary and international effort covering the disciplines of computer science, computational linguistics, translation science, signal processing, communi- cation science and artificial intelligence. At some point, the project comprised up to 135 work packages with up to 33 research groups working on these packages. The project was controlled by means of a network plan. Every two years the project sit- uation was assessed and the project goals were updated. An international scientific advisory board provided advice for BMBF. A new scientific approach was chosen for this project: coping with the com- plexity of spontaneous speech with all its pertinent phenomena such as ambiguities, self-corrections, hesitations and disfluencies took precedence over the intended lex- icon size. Another important aspect was that prosodic information was exploited at all processing stages.

Автор: S. S. Agrawal; Amita Devi; Ritika Wason; Poonam Ba
Название: Speech and Language Processing for Human-Machine Communications
ISBN: 9811066256 ISBN-13(EAN): 9789811066252
Издательство: Springer
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Описание: This volume comprises the select proceedings of the annual convention of the Computer Society of India. The volumes cover diverse topics ranging from communications networks to big data analytics, and from system architecture to cyber security.