Verbmobil: Foundations of Speech-to-Speech Translation

Verbmobil: Foundations of Speech-to-Speech Translation

Author: Wolfgang Wahlster

Publisher: Springer Science & Business Media

Published: 2000-07-31

Total Pages: 700

ISBN-13: 9783540677833

DOWNLOAD EBOOK

Verbmobil is the result of eight years of intensive research in a large speech-to-speech translation project, executed by a consortium comprising nineteen academic and four industrial partners. The system that was developed by more than 100 researchers and engineers handles dialogs in three business-oriented domains, with translation between three languages: German, English, and Japanese. Verbmobil deals with spontaneous speech, which includes realistic repair phenomena, and uses deep semantic analysis to recognize a speaker's slips and to translate what he tried to say rather than what he actually said. - This book gives the first comprehensive overview of the results of this unique and seminal project in human language technology. Contributions by leading scientists in speech and language technology look at the component technologies that make Verbmobil the most advanced speech-to-speech translation system worldwide and a landmark project in the history of natural language processing.


Statistical Machine Translation

Statistical Machine Translation

Author: Philipp Koehn

Publisher: Cambridge University Press

Published: 2010

Total Pages: 447

ISBN-13: 0521874157

DOWNLOAD EBOOK

The dream of automatic language translation is now closer thanks to recent advances in the techniques that underpin statistical machine translation. This class-tested textbook from an active researcher in the field, provides a clear and careful introduction to the latest methods and explains how to build machine translation systems for any two languages. It introduces the subject's building blocks from linguistics and probability, then covers the major models for machine translation: word-based, phrase-based, and tree-based, as well as machine translation evaluation, language modeling, discriminative training and advanced methods to integrate linguistic annotation. The book also reports the latest research, presents the major outstanding challenges, and enables novices as well as experienced researchers to make novel contributions to this exciting area. Ideal for students at undergraduate and graduate level, or for anyone interested in the latest developments in machine translation.


Empirical Studies of Translation and Interpreting

Empirical Studies of Translation and Interpreting

Author: Caiwen Wang

Publisher: Routledge

Published: 2021-05-30

Total Pages: 206

ISBN-13: 1000389847

DOWNLOAD EBOOK

This edited book is a collection of the latest empirical studies of translation and interpreting (T&I) from the post-structuralist perspective. The contributors are professors, readers, senior lecturers, lecturers, and research students from an international context. The contributions are characterised by five themes: Intervention in T&I Process of T&I Product of T&I T&I and technology T&I education These up-to-date topics are reflective of the shift in attitudes that is being witnessed as a new generation of translation scholars rejects the subjective assertions of previous generations, in favour of an altogether more rigorous approach. The book will notably contribute to the development of T&I and enhance our knowledge of the areas. It will be a useful reference for academics, postgraduate research students, and professional translators and interpreters. The book will also play a role in proposing practical and empirically based ways of training for universities and the industry, so as to overcome traditional barriers to translation and interpreting learning. The book will additionally provide reference material for relevant professional bodies.


Statistical Language Learning

Statistical Language Learning

Author: Eugene Charniak

Publisher: MIT Press

Published: 1996

Total Pages: 196

ISBN-13: 9780262531412

DOWNLOAD EBOOK

This text introduces statistical language processing techniques--word tagging, parsing with probabilistic context free grammars, grammar induction, syntactic disambiguation, semantic word classes, word-sense disambiguation--along with the underlying mathematics and chapter exercises.


Neural Machine Translation

Neural Machine Translation

Author: Philipp Koehn

Publisher: Cambridge University Press

Published: 2020-06-18

Total Pages: 409

ISBN-13: 1108497322

DOWNLOAD EBOOK

Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.


Text, Speech and Dialogue

Text, Speech and Dialogue

Author: Petr Sojka

Publisher: Springer

Published: 2014-09-01

Total Pages: 623

ISBN-13: 3319108166

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 17th International Conference on Text, Speech and Dialogue, TSD 2013, held in Brno, Czech Republic, in September 2014. The 70 papers presented together with 3 invited papers were carefully reviewed and selected from 143 submissions. They focus on topics such as corpora and language resources; speech recognition; tagging, classification and parsing of text and speech; speech and spoken language generation; semantic processing of text and speech; integrating applications of text and speech processing; automatic dialogue systems; as well as multimodal techniques and modelling.


Recent Advances in Example-Based Machine Translation

Recent Advances in Example-Based Machine Translation

Author: M. Carl

Publisher: Springer Science & Business Media

Published: 2003-06-30

Total Pages: 524

ISBN-13: 9781402014000

DOWNLOAD EBOOK

Recent Advances in Example-Based Machine Translation is of relevance to researchers and program developers in the field of Machine Translation and especially Example-Based Machine Translation, bilingual text processing and cross-linguistic information retrieval. It is also of interest to translation technologists and localisation professionals. Recent Advances in Example-Based Machine Translation fills a void, because it is the first book to tackle the issue of EBMT in depth. It gives a state-of-the-art overview of EBMT techniques and provides a coherent structure in which all aspects of EBMT are embedded. Its contributions are written by long-standing researchers in the field of MT in general, and EBMT in particular. This book can be used in graduate-level courses in machine translation and statistical NLP.


Readings in Machine Translation

Readings in Machine Translation

Author: Sergei Nirenburg

Publisher: MIT Press

Published: 2003

Total Pages: 444

ISBN-13: 9780262140744

DOWNLOAD EBOOK

The field of machine translation (MT) - the automation of translation between human languages - has existed for more than 50 years. MT helped to usher in the field of computational linguistics and has influenced methods and applications in knowledge representation, information theory, and mathematical statistics.


Statistical Language and Speech Processing

Statistical Language and Speech Processing

Author: Carlos Martín-Vide

Publisher: Springer Nature

Published: 2019-09-27

Total Pages: 326

ISBN-13: 3030313727

DOWNLOAD EBOOK

This book constitutes the proceedings of the 7th International Conference on Statistical Language and Speech Processing, SLSP 2019, held in Ljubljana, Slovenia, in October 2019. The 25 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 48 submissions. They were organized in topical sections named: Dialogue and Spoken Language Understanding; Language Analysis and Generation; Speech Analysis and Synthesis; Speech Recognition; Text Analysis and Classification.