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Corpus Data across Languages and Disciplines


Edited By Piotr Pezik

Over the recent years corpus tools and methodologies have gained widespread recognition in various areas of theoretical and applied linguistics. Data lodged in corpora is explored and exploited across languages and disciplines as distinct as historical linguistics, language didactics, discourse analysis, machine translation and search engine development to name but a few. This volume contains a selection of papers presented at the 8 th edition of the Practical Applications in Language and Computers conference and it is aimed at helping a wide community of researchers, language professionals and practitioners keep up to date with new corpus theories and methodologies as well as language-related applications of computational tools and resources.


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PETER LANG Frankfurt am Main · Berlin · Bern · Bruxelles · New York · Oxford · Warszawa · Wien ŁÓDŹ STudiES iN LANGuAGE Edited by Barbara Lewandowska-Tomaszczyk Editorial Board Anthony McEnery (Lancaster university, England) John Newman (university of Alberta, Canada) Peter Roach (Reading university, England) Hans Sauer (Ludwig-Maximilians-universität München, Germany) Gideon Toury (Tel Aviv university, israel) Vol. 28 PETER LANG internationaler Verlag der Wissenschaften Piotr Pęzik (ed.) Corpus Data across Languages and Disciplines Bibliographic Information published by the Deutsche Nationalbibliothek The Deutsche Nationalbibliothek lists this publication in the Deutsche Nationalbibliografie; detailed bibliographic data is available in the internet at ISSN 1437-5281 ISBN 978-3-631-62547-7 © Peter Lang GmbH Internationaler Verlag der Wissenschaften Frankfurt am Main 2012 All rights reserved. All parts of this publication are protected by copyright. Any utilisation outside the strict limits of the copyright law, without the permission of the publisher, is forbidden and liable to prosecution. This applies in particular to reproductions, translations, microfilming, and storage and processing in electronic retrieval systems.

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