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Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction
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.Comment: cross-lingual pronoun prediction, WMT, shared task, English, German,
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