Crossroads Between Contrastive Linguistics, Translation Studies and Machine Translation

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July 4, 2021 | History

Crossroads Between Contrastive Linguistics, Translation Studies and Machine Translation

Contrastive Linguistics (CL), Translation Studies (TS) and Machine Translation (MT) have common grounds: They all work at the crossroad where two or more languages meet. Despite their inherent relatedness, methodological exchange between the three disciplines is rare. This special issue touches upon areas where the three fields converge. It results directly from a workshop at the 2011 German Association for Language Technology and Computational Linguistics (GSCL) conference in Hamburg where researchers from the three fields presented and discussed their interdisciplinary work. While the studies contained in this volume draw from a wide variety of objectives and methods, and various areas of overlaps between CL, TS and MT are addressed, the volume is by no means exhaustive with regard to this topic. Further cross-fertilisation is not only desirable, but almost mandatory in order to tackle future tasks and endeavours, and this volume is committed to bringing these three fields even closer together.

Publish Date
Pages
212

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Edition Availability
Cover of: Crossroads Between Contrastive Linguistics, Translation Studies and Machine Translation
Crossroads Between Contrastive Linguistics, Translation Studies and Machine Translation
Oct 09, 2020, Saint Philip Street Press
hardcover
Cover of: Crossroads Between Contrastive Linguistics, Translation Studies and Machine Translation
Crossroads Between Contrastive Linguistics, Translation Studies and Machine Translation
Oct 09, 2020, Saint Philip Street Press
paperback
Cover of: Crossroads between contrastive linguistics, translation studies and machine translation
Crossroads between contrastive linguistics, translation studies and machine translation
Publish date unknown, Language Science Press
in English

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Book Details


The Physical Object

Format
hardcover
Number of pages
212

Edition Identifiers

Open Library
OL32729561M
ISBN 10
1013289854
ISBN 13
9781013289859

Work Identifiers

Work ID
OL20930950W

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July 4, 2021 Created by ImportBot Imported from amazon.com record