Towards Effective Use of Training Data in Statistical Machine Translation

Philipp Koehn; Barry Haddow

Towards Effective Use of Training Data in Statistical Machine Translation

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

Abstract / Description of output

We report on findings of exploiting large data sets for translation modeling, language modeling and tuning for the development of competitive machine translation systems for eight language pairs.

Original language	English
Title of host publication	Proceedings of the Seventh Workshop on Statistical Machine Translation
Place of Publication	Stroudsburg, PA, USA
Publisher	Association for Computational Linguistics
Pages	317-321
Number of pages	5
ISBN (Print)	978-1-937284-20-6
Publication status	Published - 2012

Access to Document

Koehn Haddow 2012 Towards Effective Use of Training Data in Statistical Machine TranslationFinal published version, 96 KB

http://www.aclweb.org/anthology/W/W12/W12-3139.pdf

EuroMatrixPlus - Bringing machine translation for European languages to the user
Koehn, P.
EU government bodies
1/03/09 → 29/04/12
Project: Research

Cite this

@inproceedings{a9661f1c914d4348a18ddb2997753383,

title = "Towards Effective Use of Training Data in Statistical Machine Translation",

abstract = "We report on findings of exploiting large data sets for translation modeling, language modeling and tuning for the development of competitive machine translation systems for eight language pairs.",

author = "Philipp Koehn and Barry Haddow",

year = "2012",

language = "English",

isbn = "978-1-937284-20-6",

pages = "317--321",

booktitle = "Proceedings of the Seventh Workshop on Statistical Machine Translation",

publisher = "Association for Computational Linguistics",

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T1 - Towards Effective Use of Training Data in Statistical Machine Translation

AU - Koehn, Philipp

AU - Haddow, Barry

PY - 2012

Y1 - 2012

N2 - We report on findings of exploiting large data sets for translation modeling, language modeling and tuning for the development of competitive machine translation systems for eight language pairs.

AB - We report on findings of exploiting large data sets for translation modeling, language modeling and tuning for the development of competitive machine translation systems for eight language pairs.

M3 - Conference contribution

SN - 978-1-937284-20-6

SP - 317

EP - 321

BT - Proceedings of the Seventh Workshop on Statistical Machine Translation

PB - Association for Computational Linguistics

CY - Stroudsburg, PA, USA

ER -

Towards Effective Use of Training Data in Statistical Machine Translation

Abstract / Description of output

Access to Document

Fingerprint

Projects

EuroMatrixPlus - Bringing machine translation for European languages to the user

Cite this