uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Context Adaptation in Statistical Machine Translation using Models with Exponentially Decaying Cache
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Computational Linguistics)
2010 (English)In: Proceedings of the ACL 2010 Workshop on Domain Adaptation for Natural Language Processing (DANLP) / [ed] Hal Daume III, Tejaswini Deoskar, David McClosky, Barbara Plank, Jörg Tiedemann, Stroudsburg, PA, USA: Association for Computational Linguistics , 2010, 8-15 p.Conference paper (Refereed)
Abstract [en]

We report results from a domain adaptation task for statistical machine translation (SMT) using cache-based adaptive language and translation models. We apply an exponential decay factor and integrate the cache models in a standard phrasebased SMT decoder. Without the need for any domain-specific resources we obtain a 2.6% relative improvement on average in BLEU scores using our dynamic adaptation procedure.

Place, publisher, year, edition, pages
Stroudsburg, PA, USA: Association for Computational Linguistics , 2010. 8-15 p.
Keyword [en]
machine translation, SMT, domain adaptation
National Category
Language Technology (Computational Linguistics) Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
URN: urn:nbn:se:uu:diva-126392ISBN: 978-1-932432-80-0ISBN: 1-932432-80-9OAI: oai:DiVA.org:uu-126392DiVA: diva2:323705
ACL 2010, Uppsala, Sweden, July 11–16, 2010
Available from: 2010-06-11 Created: 2010-06-11 Last updated: 2011-08-26Bibliographically approved

Open Access in DiVA

No full text

Other links

Electronic full text
By organisation
Department of Linguistics and Philology
Language Technology (Computational Linguistics)Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar

Total: 147 hits
ReferencesLink to record
Permanent link

Direct link