Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation

Natalia Klyueva; Jeevanthi  Liyanapathirana

Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation

Natalia Klyueva, Jeevanthi Liyanapathirana

Charles University

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

Abstract

In this paper, we analyse the usage of multiword expressions (MWE) in Statistical Machine Translation (SMT). We exploit the Moses SMT toolkit to train models for French-English and Czech-Russian language pairs. For each language pair, two models were built: a baseline model without additional MWE data and the model enhanced with information on MWE. For the French-English pair, we tried three methods of introducing the MWE data. For Czech-Russian pair, we used just one method – adding automatically extracted data as a parallel corpus.

Original language	English
Title of host publication	Workshop Proceedings. Multi-Word Units in Machine Translation and Translation Technologies. MUMTTT 2015
Editors	Gloria Corpas Pastor, Johanna Monti, Violeta Seretan, Ruslan Mitkov
Place of Publication	Geneve
Publisher	Tradulex
Publication date	2015
Pages	87-91
ISBN (Print)	9782970073697
Publication status	Published - 2015
Event	The 2nd Workshop on Multi-word Units in Machine Translation and Translation Technology. MUMTTT 2015 : Part of EUROPHRAS 2015 - Malaga, Spain Duration: 1 Jul 2015 → 2 Jul 2015 Conference number: 2 http://typo.uni-konstanz.de/parseme/index.php/events/118-mumttt-workshop-at-europhras-15

Conference

Conference	The 2nd Workshop on Multi-word Units in Machine Translation and Translation Technology. MUMTTT 2015
Number	2
Country/Territory	Spain
City	Malaga
Period	01/07/2015 → 02/07/2015
Internet address	http://typo.uni-konstanz.de/parseme/index.php/events/118-mumttt-workshop-at-europhras-15

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Klyueva, N., & Liyanapathirana, J. (2015). Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation. In G. C. Pastor, J. Monti, V. Seretan, & R. Mitkov (Eds.), Workshop Proceedings. Multi-Word Units in Machine Translation and Translation Technologies. MUMTTT 2015 (pp. 87-91). Tradulex. http://www.europhras2015.eu/workshopproceedings_def/!

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title = "Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation",

abstract = "In this paper, we analyse the usage of multiword expressions (MWE) in Statistical Machine Translation (SMT). We exploit the Moses SMT toolkit to train models for French-English and Czech-Russian language pairs. For each language pair, two models were built: a baseline model without additional MWE data and the model enhanced with information on MWE. For the French-English pair, we tried three methods of introducing the MWE data. For Czech-Russian pair, we used just one method – adding automatically extracted data as a parallel corpus.",

author = "Natalia Klyueva and Jeevanthi Liyanapathirana",

year = "2015",

language = "English",

isbn = "9782970073697",

pages = "87--91",

editor = "Pastor, \{Gloria Corpas\} and Johanna Monti and Violeta Seretan and Ruslan Mitkov",

booktitle = "Workshop Proceedings. Multi-Word Units in Machine Translation and Translation Technologies. MUMTTT 2015",

publisher = "Tradulex",

address = "Switzerland",

note = "The 2nd Workshop on Multi-word Units in Machine Translation and Translation Technology. MUMTTT 2015 ; Conference date: 01-07-2015 Through 02-07-2015",

url = "http://typo.uni-konstanz.de/parseme/index.php/events/118-mumttt-workshop-at-europhras-15",

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Klyueva, N & Liyanapathirana, J 2015, Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation. in GC Pastor, J Monti, V Seretan & R Mitkov (eds), Workshop Proceedings. Multi-Word Units in Machine Translation and Translation Technologies. MUMTTT 2015. Tradulex, Geneve, pp. 87-91, The 2nd Workshop on Multi-word Units in Machine Translation and Translation Technology. MUMTTT 2015 , Malaga, Spain, 01/07/2015. <http://www.europhras2015.eu/workshopproceedings_def/!>

Analysis of MultiWord Expression Translation Errors in Statistical Machine Translation. / Klyueva, Natalia; Liyanapathirana, Jeevanthi .
Workshop Proceedings. Multi-Word Units in Machine Translation and Translation Technologies. MUMTTT 2015. ed. / Gloria Corpas Pastor; Johanna Monti; Violeta Seretan; Ruslan Mitkov. Geneve: Tradulex, 2015. p. 87-91.

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

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N2 - In this paper, we analyse the usage of multiword expressions (MWE) in Statistical Machine Translation (SMT). We exploit the Moses SMT toolkit to train models for French-English and Czech-Russian language pairs. For each language pair, two models were built: a baseline model without additional MWE data and the model enhanced with information on MWE. For the French-English pair, we tried three methods of introducing the MWE data. For Czech-Russian pair, we used just one method – adding automatically extracted data as a parallel corpus.

AB - In this paper, we analyse the usage of multiword expressions (MWE) in Statistical Machine Translation (SMT). We exploit the Moses SMT toolkit to train models for French-English and Czech-Russian language pairs. For each language pair, two models were built: a baseline model without additional MWE data and the model enhanced with information on MWE. For the French-English pair, we tried three methods of introducing the MWE data. For Czech-Russian pair, we used just one method – adding automatically extracted data as a parallel corpus.

M3 - Article in proceedings

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BT - Workshop Proceedings. Multi-Word Units in Machine Translation and Translation Technologies. MUMTTT 2015

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