Findings of the 2016 WMT Shared Taskon Cross-lingual Pronoun Prediction
2016 (English)In: Proceedings of the First Conference on Machine Translation, 2016, 525-542 p.Conference paper (Other academic)
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.
Language Technology (Computational Linguistics)
Research subject Computational Linguistics
IdentifiersURN: urn:nbn:se:uu:diva-310323OAI: oai:DiVA.org:uu-310323DiVA: diva2:1056104
The First Conference on Machine Translation
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