Learning Machine Translation
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Learning Machine Translation
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Author : Cyril Goutte
language : en
Publisher: MIT Press
Release Date : 2009
Learning Machine Translation written by Cyril Goutte and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computers categories.
How Machine Learning can improve machine translation: enabling technologies and new statistical techniques.
Neural Machine Translation
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Author : Philipp Koehn
language : en
Publisher: Cambridge University Press
Release Date : 2020-06-18
Neural Machine Translation written by Philipp Koehn and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with Computers categories.
Learn how to build machine translation systems with deep learning from the ground up, from basic concepts to cutting-edge research.
Machine Learning In Translation Corpora Processing
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Author : Krzysztof Wolk
language : en
Publisher: CRC Press
Release Date : 2019-02-25
Machine Learning In Translation Corpora Processing written by Krzysztof Wolk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-25 with Computers categories.
This book reviews ways to improve statistical machine speech translation between Polish and English. Research has been conducted mostly on dictionary-based, rule-based, and syntax-based, machine translation techniques. Most popular methodologies and tools are not well-suited for the Polish language and therefore require adaptation, and language resources are lacking in parallel and monolingual data. The main objective of this volume to develop an automatic and robust Polish-to-English translation system to meet specific translation requirements and to develop bilingual textual resources by mining comparable corpora.
Machine Translation From Research To Real Users
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Author : Association for Machine Translation in the Americas. Conference
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-09-24
Machine Translation From Research To Real Users written by Association for Machine Translation in the Americas. Conference and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-24 with Computers categories.
This book constitutes the refereed proceedings of the 5th Conference of the Association for Machine Translation in the Americas, AMTA 2002, held in Tiburon, CA, USA, in October 2002. The 18 revised full technical papers, 3 user studies, and 9 system descriptions presented were carefully reviewed and selected for inclusion in the book. Among the issues addressed are hybrid translation environments, resource-limited MT, statistical word-level alignment, word formation rules, rule learning, web-based MT, translation divergences, example-based MT, data-driven MT, classification, contextual translation, the lexicon building process, commercial MT systems, speeck-to-speech translation, and language checking systems.
Recent Advances In Example Based Machine Translation
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Author : M. Carl
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Recent Advances In Example Based Machine Translation written by M. Carl and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Machine Translation
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Author : Association for Machine Translation in the Americas. Conference
language : en
Publisher:
Release Date : 2002
Machine Translation written by Association for Machine Translation in the Americas. Conference and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Machine translating categories.
Machine Translation
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2023-07-05
Machine Translation written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-05 with Computers categories.
What Is Machine Translation The subfield of computational linguistics known as machine translation, which is often referred to by the abbreviation MT at times, explores the use of software to translate text or speech from one language to another. Machine translation can also be referred to as automatic translation. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Machine Translation Chapter 2: Computational Linguistics Chapter 3: Natural Language Processing Chapter 4: Statistical Machine Translation Chapter 5: Neural Machine Translation Chapter 6: Google Neural Machine Translation Chapter 7: Hybrid Machine Translation Chapter 8: Rule-based Machine Translation Chapter 9: Evaluation of Machine Translation Chapter 10: History of Machine Translation (II) Answering the public top questions about machine translation. (III) Real world examples for the usage of machine translation in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of machine translation' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of machine translation.
Statistical Machine Translation
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Author : Philipp Koehn
language : en
Publisher: Cambridge University Press
Release Date : 2010
Statistical Machine Translation written by Philipp Koehn and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.
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.
Hybrid Approaches To Machine Translation
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Author : Marta R. Costa-jussà
language : en
Publisher: Springer
Release Date : 2016-07-12
Hybrid Approaches To Machine Translation written by Marta R. Costa-jussà and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-12 with Computers categories.
This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.
Joint Training For Neural Machine Translation
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Author : Yong Cheng
language : en
Publisher: Springer Nature
Release Date : 2019-08-26
Joint Training For Neural Machine Translation written by Yong Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-26 with Computers categories.
This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.