Statistical Machine Translation with Readability Constraints

Sara Stymne; Jörg Tiedemann; Christian Hardmeier; Joakim Nivre

Statistical Machine Translation with Readability Constraints

Sara Stymne, Jörg Tiedemann, Christian Hardmeier, Joakim Nivre

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

Abstract / Description of output

This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach, we introduce global features that are known to affect readability into a document-level SMT decoding framework. We show that the decoder is capable of incorporating those features and that we can influence the readability of the output as measured by common metrics. This study presents the first attempt of jointly performing machine translation and text simplification, which is demonstrated through the case of translating parliamentary texts from English to Swedish.

Original language	English
Title of host publication	Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)
Editors	Stephan Oepen, Kristin Hagen, Janne Bondi Johannessen
Place of Publication	Oslo, Norway
Publisher	Linköping University Electronic Press, Sweden
Pages	375-386
Number of pages	12
ISBN (Electronic)	978-91-7519-589-6
Publication status	Published - 24 May 2013
Event	19th Nordic Conference of Computational Linguistics - Oslo, Norway Duration: 22 May 2013 → 24 May 2013 https://www.hf.uio.no/iln/english/research/news-and-events/events/conferences/2013/nodalida/index.html

Publication series

Name
Publisher	Linköping University Electronic Press
Volume	85
ISSN (Electronic)	1650-3740

Conference

Conference	19th Nordic Conference of Computational Linguistics
Abbreviated title	NODALIDA 2013
Country/Territory	Norway
City	Oslo
Period	22/05/13 → 24/05/13
Internet address	https://www.hf.uio.no/iln/english/research/news-and-events/events/conferences/2013/nodalida/index.html

Keywords / Materials (for Non-textual outputs)

Machine Translation
Text Simplification
Readability

Access to Document

Statistical Machine Translation_STYMME_DOA22102019_VOR_CC-BYFinal published version, 139 KBLicence: Creative Commons: Attribution (CC-BY)

https://www.aclweb.org/anthology/W13-5634Licence: Creative Commons: Attribution (CC-BY)

Cite this

@inproceedings{1513d51d06824d798ecdffc14e7fdf7d,

title = "Statistical Machine Translation with Readability Constraints",

abstract = "This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach, we introduce global features that are known to affect readability into a document-level SMT decoding framework. We show that the decoder is capable of incorporating those features and that we can influence the readability of the output as measured by common metrics. This study presents the first attempt of jointly performing machine translation and text simplification, which is demonstrated through the case of translating parliamentary texts from English to Swedish.",

keywords = "Machine Translation, Text Simplification, Readability",

author = "Sara Stymne and J{\"o}rg Tiedemann and Christian Hardmeier and Joakim Nivre",

year = "2013",

month = may,

day = "24",

language = "English",

publisher = "Link{\"o}ping University Electronic Press, Sweden",

pages = "375--386",

editor = "Stephan Oepen and Kristin Hagen and Johannessen, {Janne Bondi}",

booktitle = "Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)",

note = "19th Nordic Conference of Computational Linguistics, NODALIDA 2013 ; Conference date: 22-05-2013 Through 24-05-2013",

url = "https://www.hf.uio.no/iln/english/research/news-and-events/events/conferences/2013/nodalida/index.html",

}

Stymne, S, Tiedemann, J, Hardmeier, C & Nivre, J 2013, Statistical Machine Translation with Readability Constraints. in S Oepen, K Hagen & JB Johannessen (eds), Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013). Linköping University Electronic Press, Sweden, Oslo, Norway, pp. 375-386, 19th Nordic Conference of Computational Linguistics, Oslo, Norway, 22/05/13. <https://www.aclweb.org/anthology/W13-5634>

Statistical Machine Translation with Readability Constraints. / Stymne, Sara; Tiedemann, Jörg; Hardmeier, Christian et al.
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013). ed. / Stephan Oepen; Kristin Hagen; Janne Bondi Johannessen. Oslo, Norway: Linköping University Electronic Press, Sweden, 2013. p. 375-386.

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

TY - GEN

T1 - Statistical Machine Translation with Readability Constraints

AU - Stymne, Sara

AU - Tiedemann, Jörg

AU - Hardmeier, Christian

AU - Nivre, Joakim

PY - 2013/5/24

Y1 - 2013/5/24

N2 - This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach, we introduce global features that are known to affect readability into a document-level SMT decoding framework. We show that the decoder is capable of incorporating those features and that we can influence the readability of the output as measured by common metrics. This study presents the first attempt of jointly performing machine translation and text simplification, which is demonstrated through the case of translating parliamentary texts from English to Swedish.

AB - This paper presents experiments with document-level machine translation with readability constraints. We describe the task of producing simplified translations from a given source with the aim to optimize machine translation for specific target users such as language learners. In our approach, we introduce global features that are known to affect readability into a document-level SMT decoding framework. We show that the decoder is capable of incorporating those features and that we can influence the readability of the output as measured by common metrics. This study presents the first attempt of jointly performing machine translation and text simplification, which is demonstrated through the case of translating parliamentary texts from English to Swedish.

KW - Machine Translation

KW - Text Simplification

KW - Readability

M3 - Conference contribution

SP - 375

EP - 386

BT - Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013)

A2 - Oepen, Stephan

A2 - Hagen, Kristin

A2 - Johannessen, Janne Bondi

PB - Linköping University Electronic Press, Sweden

CY - Oslo, Norway

T2 - 19th Nordic Conference of Computational Linguistics

Y2 - 22 May 2013 through 24 May 2013

ER -

Statistical Machine Translation with Readability Constraints

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

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Cite this