Computational approaches to translation studies

Shuly Wintner

doi:10.1007/978-3-319-61164-8_2

Computational approaches to translation studies

Shuly Wintner

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language. Translation studies is a research field that focuses on investigating these characteristics. Until recently, research in computational linguistics, and specifically in machine translation, has been entirely divorced from translation studies. The main goal of this tutorial is to introduce some of the findings of translation studies to researchers interested mainly in machine translation, and to demonstrate that awareness of these findings can result in better, more accurate machine translation systems (This chapter synthesizes material that has been previously published by the author and colleagues, in particular in Volansky et al. (2015); Rabinovich and Wintner (2015); Lembersky et al. (2011, 2012a, 2012b, 2013); and Twitto et al. (2015)).

Original language	English
Title of host publication	Business Intelligence - 6th European Summer School, eBISS 2016, Tutorial Lectures
Editors	Esteban Zimanyi, Patrick Marcel
Publisher	Springer Verlag
Pages	38-58
Number of pages	21
ISBN (Print)	9783319611631
DOIs	https://doi.org/10.1007/978-3-319-61164-8_2
State	Published - 2017
Event	6th European Business Intelligence and Big Data Summer School, eBISS 2016 - Tours, France Duration: 3 Jul 2016 → 8 Jul 2016

Publication series

Name	Lecture Notes in Business Information Processing
Volume	280
ISSN (Print)	1865-1348

Conference

Conference	6th European Business Intelligence and Big Data Summer School, eBISS 2016
Country/Territory	France
City	Tours
Period	3/07/16 → 8/07/16

Bibliographical note

Funding Information:
I am grateful to Noam Ordan for his immense help with the research reported here. Thanks are due to all my other collaborators on these works, including Gennadi Lembersky, Vered Volansky, Udi Avner, Naama Twitto and Ella Rabinovich. Special thanks are due to Agata Savary, not least for her continuous encouragement. I am grateful to the three anonymous reviewers whose constructive comments greatly improved the quality of the presentation. This research was supported by a grant from the Israeli Ministry of Science and Technology.

Publisher Copyright:
© Springer International Publishing AG 2017.

ASJC Scopus subject areas

Information Systems and Management
Information Systems
Control and Systems Engineering
Business and International Management
Management Information Systems
Modeling and Simulation

Access to Document

10.1007/978-3-319-61164-8_2

Cite this

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title = "Computational approaches to translation studies",

abstract = "Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language. Translation studies is a research field that focuses on investigating these characteristics. Until recently, research in computational linguistics, and specifically in machine translation, has been entirely divorced from translation studies. The main goal of this tutorial is to introduce some of the findings of translation studies to researchers interested mainly in machine translation, and to demonstrate that awareness of these findings can result in better, more accurate machine translation systems (This chapter synthesizes material that has been previously published by the author and colleagues, in particular in Volansky et al. (2015); Rabinovich and Wintner (2015); Lembersky et al. (2011, 2012a, 2012b, 2013); and Twitto et al. (2015)).",

author = "Shuly Wintner",

note = "Funding Information: I am grateful to Noam Ordan for his immense help with the research reported here. Thanks are due to all my other collaborators on these works, including Gennadi Lembersky, Vered Volansky, Udi Avner, Naama Twitto and Ella Rabinovich. Special thanks are due to Agata Savary, not least for her continuous encouragement. I am grateful to the three anonymous reviewers whose constructive comments greatly improved the quality of the presentation. This research was supported by a grant from the Israeli Ministry of Science and Technology. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 6th European Business Intelligence and Big Data Summer School, eBISS 2016 ; Conference date: 03-07-2016 Through 08-07-2016",

year = "2017",

doi = "10.1007/978-3-319-61164-8_2",

language = "English",

isbn = "9783319611631",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Verlag",

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editor = "Esteban Zimanyi and Patrick Marcel",

booktitle = "Business Intelligence - 6th European Summer School, eBISS 2016, Tutorial Lectures",

address = "Germany",

}

Wintner, S 2017, Computational approaches to translation studies. in E Zimanyi & P Marcel (eds), Business Intelligence - 6th European Summer School, eBISS 2016, Tutorial Lectures. Lecture Notes in Business Information Processing, vol. 280, Springer Verlag, pp. 38-58, 6th European Business Intelligence and Big Data Summer School, eBISS 2016, Tours, France, 3/07/16. https://doi.org/10.1007/978-3-319-61164-8_2

Computational approaches to translation studies. / Wintner, Shuly.

Business Intelligence - 6th European Summer School, eBISS 2016, Tutorial Lectures. ed. / Esteban Zimanyi; Patrick Marcel. Springer Verlag, 2017. p. 38-58 (Lecture Notes in Business Information Processing; Vol. 280).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Funding Information: I am grateful to Noam Ordan for his immense help with the research reported here. Thanks are due to all my other collaborators on these works, including Gennadi Lembersky, Vered Volansky, Udi Avner, Naama Twitto and Ella Rabinovich. Special thanks are due to Agata Savary, not least for her continuous encouragement. I am grateful to the three anonymous reviewers whose constructive comments greatly improved the quality of the presentation. This research was supported by a grant from the Israeli Ministry of Science and Technology. Publisher Copyright: © Springer International Publishing AG 2017.

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AB - Translated texts, in any language, have unique characteristics that set them apart from texts originally written in the same language. Translation studies is a research field that focuses on investigating these characteristics. Until recently, research in computational linguistics, and specifically in machine translation, has been entirely divorced from translation studies. The main goal of this tutorial is to introduce some of the findings of translation studies to researchers interested mainly in machine translation, and to demonstrate that awareness of these findings can result in better, more accurate machine translation systems (This chapter synthesizes material that has been previously published by the author and colleagues, in particular in Volansky et al. (2015); Rabinovich and Wintner (2015); Lembersky et al. (2011, 2012a, 2012b, 2013); and Twitto et al. (2015)).

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Computational approaches to translation studies

Abstract

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Bibliographical note

ASJC Scopus subject areas

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