Using Comparable Corpora for Under-Resourced Areas of Machine Translation (Theory and Applications of Natural Language Processing)

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§16§§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, an §16§d promotes the broader use of comparable corpora in natural language processing and computational linguistics.§§§§§§§§§§§§§ §04§Introduction.- Cross-language comparability and its Applications for MT (Bogdan Babych, Fangzhong Su, Anthony Hartley, Ahmet Aker, Monica Lestari Paramita, Paul Clough, Robert Gaizauskas).- Collecting comparable corpora (Monica Lestari Paramita, Ahmet Aker, Paul Clough, Robert Gaizauskas, Nikos Glaros, Nikos Mastropavlos, Olga Yannoutsou, Radu Ion, Dan tefanescu, Alexandru Ceausu, Dan Tufi and Judita Preiss).- Extracting data from comparable corpora (Marcis Pinnis, Nikola Ljubesic, Dan Stefanescu, Inguna Skadi a, Marko Tadic, Tatjana Gornostaja, Spela Vintar, Darja Fiser).- Mapping and aligning units from comparable corpora (Ahmet Aker, Alexandru Ceau u, Yang Feng, Robert Gaizauskas, Sabine Hunsicker, Radu Ion, Elena Irimia, Dan tefanescu, Dan Tufi ).- Training, enhancing, evaluating and using MT-Systems with comparable data (Bogdan Babych, Yu Chen, Andreas Eisele, Sabine Hunsicker, Marcis Pinnis, Inguna Skadi a, Raivis Skadi s, Gregor Thurmair, Andrejs Vasi jevs, Mateja Verlic §04§, Xiaojun Zhang).- New areas of application of comparable corpora (Reinhard Rapp, Vivian Xu, Michael Zock, Serge Sharoff, Richard Forsyth, Bogdan Babych, Chenhui Chu, Toshiaki Nakazawa, Sadao Kurohashi).- Appendices (Ahmet Aker, Radu Ion, Nikos Mastropavlos, Monica Paramita, Marcis Pinnis, Dan Stefanescu, Fangzhong Su, Gregor Thurmair,Elena Irimia, Nikola Ljubesic, Evangelos Kanoulas, Judita Preiss, Rob Gaizauskas, Paul Clough, Emma Barker, Nikos Glaros, Tiberiu Boro , Inguna Skadi a, Andrejs Vasi jevs). §02§s 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 Vasi jevs 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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