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Findings of the 2016 WMT Shared Taskon Cross-lingual Pronoun Prediction
LMU Munich.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik)
Qatar Computing Research Institute.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology.
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2016 (English)In: Proceedings of the First Conference on Machine Translation, 2016, 525-542 p.Conference paper (Other academic)
Abstract [en]

We describe the design, the evaluation setup, and the results of the 2016 WMT shared task on cross-lingual pronoun prediction. This is a classification task in which participants are asked to provide predictions on what pronoun class label should replace a placeholder value in the target-language text, provided in lemmatised and PoS-tagged form. We provided four subtasks, for the English–French and English–German language pairs, in both directions. Eleven teams participated in the shared task; nine for the English–French subtask, five for French–English, nine for English–German, and six for German–English. Most of the submissions outperformed two strong language-model-based baseline systems, with systems using deep recurrent neural networks outperforming those using other architectures for most language pairs.

Place, publisher, year, edition, pages
2016. 525-542 p.
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-310323OAI: oai:DiVA.org:uu-310323DiVA: diva2:1056104
Conference
The First Conference on Machine Translation
Funder
eSSENCE - An eScience Collaboration
Available from: 2016-12-14 Created: 2016-12-14 Last updated: 2016-12-14

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http://aclweb.org/anthology/W/W16/W16-2345.pdf

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Hardmeier, ChristianStymne, Sara
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