Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction

Liane Guillou; Christian Hardmeier; Preslav Nakov; Sara Stymne; Jörg Tiedemann; Yannick Versley; Mauro Cettolo; Bonnie Webber; Andrei Popescu-Belis

arXiv · 1911.12091

Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction

Liane Guillou·Christian Hardmeier·Preslav Nakov·Sara Stymne·Jörg Tiedemann·Yannick Versley·Mauro Cettolo·Bonnie Webber·Andrei Popescu-Belis

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Abstract

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.

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Liane Guillou, Christian Hardmeier, Preslav Nakov, Sara Stymne, Jörg Tiedemann, Yannick Versley, Mauro Cettolo, Bonnie Webber, Andrei Popescu-Belis. 2019-11-27. Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction. https://arxiv.org/abs/1911.12091

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