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

University of Haifa

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	American 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

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

All Science Journal Classification (ASJC) codes

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

Access to Document

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

Cite this

@inproceedings{297d88cb24af4e028a7988110a0bc91e,

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 = "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 = "American English",

isbn = "9783319611631",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer Verlag",

pages = "38--58",

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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T1 - Computational approaches to translation studies

AU - Wintner, Shuly

PY - 2017

Y1 - 2017

N2 - 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)).

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

M3 - Conference contribution

SN - 9783319611631

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SP - 38

EP - 58

BT - Business Intelligence - 6th European Summer School, eBISS 2016, Tutorial Lectures

A2 - Zimanyi, Esteban

A2 - Marcel, Patrick

PB - Springer Verlag

T2 - 6th European Business Intelligence and Big Data Summer School, eBISS 2016

Y2 - 3 July 2016 through 8 July 2016

ER -

Computational approaches to translation studies

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All Science Journal Classification (ASJC) codes

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