It-disambiguation and source-aware language models for cross-lingual pronoun prediction
- Sharid Loáiciga,
- Liane Guillou,
- University of Geneva,
- Ludwig Maximilian University of Munich,
- Uppsala University
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review
Open access
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOriginal language
EnglishPages from-to (Number of pages)
Pages 581-588Publication milestones
- Published - 12/08/2016
Publication status
Published - 12/08/2016
Publication IDs
- ORCID: /0000-0002-6103-7275/work/106363223
- Scopus: 85123220655
Host publication title
Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers Abstract
We present our systems for the WMT 2016 shared task on cross-lingual pronoun prediction. The main contribution is a classifier used to determine whether an instance of the ambiguous English pronoun “it” functions as an anaphoric, pleonastic or event reference pronoun. For the English-to-French task the classifier is incorporated in an extended baseline, which takes the form of a source-aware language model. An implementation of the sourceaware language model is also provided for each of the remaining language pairs
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