Tunable Distortion Limits and Corpus Cleaning for SMT

Sara Stymne; Christian Hardmeier; Jörg Tiedemann; Joakim Nivre

Tunable Distortion Limits and Corpus Cleaning for SMT

Sara Stymne, Christian Hardmeier, Jörg Tiedemann, Joakim Nivre

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

We describe the Uppsala University system for WMT13, for English-to-German translation. We use the Docent decoder, a local search decoder that translates at the document level. We add tunable distortion limits, that is, soft constraints on the maximum distortion allowed, to Docent. We also investigate cleaning of the noisy Common Crawl corpus. We show that we can use alignment-based filtering for cleaning with good results. Finally we investigate effects of corpus selection for recasing.

Originalsprog	Engelsk
Titel	Proceedings of the Eighth Workshop on Statistical Machine Translation
Publikationsdato	9 aug. 2013
ISBN (Trykt)	978-1-937284-57-2
Status	Udgivet - 9 aug. 2013
Udgivet eksternt	Ja

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https://aclanthology.org/W13-2229.pdf

Citationsformater

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abstract = "We describe the Uppsala University system for WMT13, for English-to-German translation. We use the Docent decoder, a local search decoder that translates at the document level. We add tunable distortion limits, that is, soft constraints on the maximum distortion allowed, to Docent. We also investigate cleaning of the noisy Common Crawl corpus. We show that we can use alignment-based filtering for cleaning with good results. Finally we investigate effects of corpus selection for recasing.",

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AB - We describe the Uppsala University system for WMT13, for English-to-German translation. We use the Docent decoder, a local search decoder that translates at the document level. We add tunable distortion limits, that is, soft constraints on the maximum distortion allowed, to Docent. We also investigate cleaning of the noisy Common Crawl corpus. We show that we can use alignment-based filtering for cleaning with good results. Finally we investigate effects of corpus selection for recasing.

M3 - Article in proceedings

SN - 978-1-937284-57-2

BT - Proceedings of the Eighth Workshop on Statistical Machine Translation

ER -

Tunable Distortion Limits and Corpus Cleaning for SMT

Abstract

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