A new subtree-transfer approach to syntax-based reordering for statistical machine translation

Maxim Khalilov; José A R Fonollosa; Mark Dras

A new subtree-transfer approach to syntax-based reordering for statistical machine translation

Maxim Khalilov^*, José A R Fonollosa, Mark Dras

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-based reordering step prior to translation, proposed in recent years, has been quite successful in improving translation quality. We present a new technique for extracting syntax-based reordering rules, which are derived through a syntactically augmented alignment of source and target texts. The parallel corpus with reordered source side is then passed to an N-gram-based machine translation system and the obtained results are contrasted with a monotone system performance. In experiments, we show significant improvement for the Chinese-to-English translation task.

Original language	English
Title of host publication	Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009
Editors	Lluíz Màrquez, Harold Somers
Place of Publication	Barcelona, Spain
Publisher	Universitat Polit`ecnica de Catalunya
Pages	197-204
Number of pages	8
ISBN (Print)	9788469239438
Publication status	Published - 2009
Event	13th Annual Conference of the European Association for Machine Translation, EAMT 2009 - Barcelona, Spain Duration: 14 May 2009 → 15 May 2009

Other

Other	13th Annual Conference of the European Association for Machine Translation, EAMT 2009
Country/Territory	Spain
City	Barcelona
Period	14/05/09 → 15/05/09

Cite this

Khalilov, Maxim ; Fonollosa, José A R ; Dras, Mark. / A new subtree-transfer approach to syntax-based reordering for statistical machine translation. Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009. editor / Lluíz Màrquez ; Harold Somers. Barcelona, Spain : Universitat Polit`ecnica de Catalunya, 2009. pp. 197-204

@inproceedings{fe9bf831f9404e0db9b2066619bca49b,

title = "A new subtree-transfer approach to syntax-based reordering for statistical machine translation",

abstract = "In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-based reordering step prior to translation, proposed in recent years, has been quite successful in improving translation quality. We present a new technique for extracting syntax-based reordering rules, which are derived through a syntactically augmented alignment of source and target texts. The parallel corpus with reordered source side is then passed to an N-gram-based machine translation system and the obtained results are contrasted with a monotone system performance. In experiments, we show significant improvement for the Chinese-to-English translation task.",

author = "Maxim Khalilov and Fonollosa, {Jos{\'e} A R} and Mark Dras",

year = "2009",

language = "English",

isbn = "9788469239438",

pages = "197--204",

editor = "Llu{\'i}z M{\`a}rquez and Harold Somers",

booktitle = "Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009",

publisher = "Universitat Polit`ecnica de Catalunya",

note = "13th Annual Conference of the European Association for Machine Translation, EAMT 2009 ; Conference date: 14-05-2009 Through 15-05-2009",

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Khalilov, M, Fonollosa, JAR & Dras, M 2009, A new subtree-transfer approach to syntax-based reordering for statistical machine translation. in L Màrquez & H Somers (eds), Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009. Universitat Polit`ecnica de Catalunya, Barcelona, Spain, pp. 197-204, 13th Annual Conference of the European Association for Machine Translation, EAMT 2009, Barcelona, Spain, 14/05/09.

A new subtree-transfer approach to syntax-based reordering for statistical machine translation. / Khalilov, Maxim; Fonollosa, José A R; Dras, Mark.
Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009. ed. / Lluíz Màrquez; Harold Somers. Barcelona, Spain: Universitat Polit`ecnica de Catalunya, 2009. p. 197-204.

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

TY - GEN

T1 - A new subtree-transfer approach to syntax-based reordering for statistical machine translation

AU - Khalilov, Maxim

AU - Fonollosa, José A R

AU - Dras, Mark

PY - 2009

Y1 - 2009

N2 - In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-based reordering step prior to translation, proposed in recent years, has been quite successful in improving translation quality. We present a new technique for extracting syntax-based reordering rules, which are derived through a syntactically augmented alignment of source and target texts. The parallel corpus with reordered source side is then passed to an N-gram-based machine translation system and the obtained results are contrasted with a monotone system performance. In experiments, we show significant improvement for the Chinese-to-English translation task.

AB - In this paper we address the problem of translating between languages with word order disparity. The idea of augmenting statistical machine translation (SMT) by using a syntax-based reordering step prior to translation, proposed in recent years, has been quite successful in improving translation quality. We present a new technique for extracting syntax-based reordering rules, which are derived through a syntactically augmented alignment of source and target texts. The parallel corpus with reordered source side is then passed to an N-gram-based machine translation system and the obtained results are contrasted with a monotone system performance. In experiments, we show significant improvement for the Chinese-to-English translation task.

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M3 - Conference proceeding contribution

AN - SCOPUS:84857512680

SN - 9788469239438

SP - 197

EP - 204

BT - Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009

A2 - Màrquez, Lluíz

A2 - Somers, Harold

PB - Universitat Polit`ecnica de Catalunya

CY - Barcelona, Spain

T2 - 13th Annual Conference of the European Association for Machine Translation, EAMT 2009

Y2 - 14 May 2009 through 15 May 2009

ER -

A new subtree-transfer approach to syntax-based reordering for statistical machine translation

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