Using Comparable Corpora for Under-Resourced Areas of Machine Translation

Inguna Skadi¿a (u. a.)

ISBN 10: 3319990039 ISBN 13: 9783319990033
Edité par Springer International Publishing, 2019
Neuf(s) Buch

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Using Comparable Corpora for Under-Resourced Areas of Machine Translation | Inguna Skadi¿a (u. a.) | Buch | vi | Englisch | 2019 | Springer International Publishing | EAN 9783319990033 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 114093733

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This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.

The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics.



À propos de l?auteur:

Prof. Inguna Skadiņa has been working on language technologies for over 25 years. Her research interests are in machine translation, human-computer interaction, and language resources and tools for under-resourced languages. She has coordinated and participated in many national and international projects related to human language technologies, and has authored or co-authored more than 60 peer-reviewed research papers.

Bogdan Babych is an Associate Professor of Translation Studies at the University of Leeds, UK. He holds a PhD in machine translation and in Ukrainian linguistics. Dr. Babych was a coordinator of the EU FP7 Marie Curie project HyghTra, and received a Leverhulme Early Career Fellowship for his project Translation Strategies in Comparable Corpora. He previously worked as a computational linguist at L&H Speech Products, Belgium.

Robert Gaizauskas is a Professor of Computer Science and head of the Natural Language Processing group, Department of Computer Science, University of Sheffield, UK. His research interests are in computational semantics, information extraction, text summarization and machine translation. He holds a DPhil from the University of Sussex, UK (1992), and has published more than 150 papers in peer-reviewed journals and conference proceedings.

Nikola Ljubesic is an Assistant Professor at the Department of Information Science, University of Zagreb, Croatia, and researcher at the "Jozef Stefan" Institute in Ljubljana, Slovenia. His main research interests are in language technologies for South Slavic languages, linguistic processing of non-standard texts, author profiling and social media analytics.

Prof. Dan Tufiș, director of RACAI and full member of the Romanian Academy, has been active in computational and corpus linguistics for more than 30 years. His expertise is in tagging, word alignment, multilingual WSD, SMT, QA in open domains, lexical ontologies, language resource annotation and encoding. He has authored or co-authored more than 250 peer-reviewed papers, book chapters and books.

Andrejs Vasiļjevs is a co-founder and chairman of the board of Tilde, a leading European language technology and localization company. His expertise is in terminology management, machine translation and human computer interaction. He initiated and coordinated the ACCURAT project as well as several other international research and innovation projects. He holds a PhD in computer sciences from the University of Latvia and a Dr.h. from the Latvian Academy of Sciences.

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Titre : Using Comparable Corpora for Under-Resourced...
Éditeur : Springer International Publishing
Date d'édition : 2019
Reliure : Buch
Etat : Neu

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Skadina, Inguna; Gaizauskas, Robert; Babych, Bogdan; Ljubeic, Nikola; Tufis, Dan; Vasiljevs, Andrejs (Eds.)
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Skadia, Inguna|Gaizauskas, Robert|Babych, Bogdan|Ljubesic, Nikola|Tufis, Dan|Vasijevs, Andrejs
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes a step-by-step method for collecting comparable corpora and processing it for usage in machine translationDemonstrates how data from comparable corpora can improve the quality of machine translationProposes novel method. N° de réf. du vendeur 234032639

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics. N° de réf. du vendeur 9783319990033

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Buch. Etat : Neu. Neuware -This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 332 pp. Englisch. N° de réf. du vendeur 9783319990033

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides an overview of how comparable corpora can be used to overcome the lack of parallel resources when building machine translation systems for under-resourced languages and domains. It presents a wealth of methods and open tools for building comparable corpora from the Web, evaluating comparability and extracting parallel data that can be used for the machine translation task. It is divided into several sections, each covering a specific task such as building, processing, and using comparable corpora, focusing particularly on under-resourced language pairs and domains.The book is intended for anyone interested in data-driven machine translation for under-resourced languages and domains, especially for developers of machine translation systems, computational linguists and language workers. It offers a valuable resource for specialists and students in natural language processing, machine translation, corpus linguistics and computer-assisted translation, and promotes the broader use of comparable corpora in natural language processing and computational linguistics. 332 pp. Englisch. N° de réf. du vendeur 9783319990033

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