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

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Translating Pronouns with Latent Anaphora Resolution
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
2014 (English)Conference paper, Poster (with or without abstract) (Other academic)
Abstract [en]

We discuss the translation of anaphoric pronouns in statistical machine translation from English into French. Pronoun translation requires resolving the antecedents of the pronouns in the input, a classic discourse processing problem that is usually approached through supervised learning from manually annotated data. We cast cross-lingual pronoun prediction as a classification task and present a neural network architecture that incorporates the links between anaphors and potential antecedents as latent variables, allowing us to train the classifier on parallel text without explicit supervision for the anaphora resolver. We demonstrate that our approach works just as well for classification as using an external coreference resolver whereas its impact in a practical translation experiment is more limited.

Place, publisher, year, edition, pages
2014.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-241303OAI: oai:DiVA.org:uu-241303DiVA: diva2:778267
Conference
Workshop on Modern Machine Learning and Natural Language Processing (NIPS 2014), Montreal, Canada, 8-12 Dec 2014
Available from: 2015-01-09 Created: 2015-01-09 Last updated: 2015-02-23Bibliographically approved

Open Access in DiVA

MLNLP2014(270 kB)142 downloads
File information
File name FULLTEXT01.pdfFile size 270 kBChecksum SHA-512
6ce0b8927259b9ef7b277da35aa6225bac6dbc6a5e858b0b4321da1756aa095db18de8ecca498f91fb8b3d26de978d6bf2389666bac3de3f958912b346f4b00b
Type fulltextMimetype application/pdf

Authority records BETA

Hardmeier, ChristianTiedemann, JörgNivre, Joakim

Search in DiVA

By author/editor
Hardmeier, ChristianTiedemann, JörgNivre, Joakim
By organisation
Department of Linguistics and Philology
Language Technology (Computational Linguistics)

Search outside of DiVA

GoogleGoogle Scholar
Total: 142 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 501 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf