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.
Code (0)
등록된 구현이 없습니다.
Tasks
Language ModelingLanguage ModellingPOSSimilar Papers 제목 키워드 기반
Pronoun-Focused MT and Cross-Lingual Pronoun Prediction: Findings of the 2015 DiscoMT Shared Task on Pronoun Translation
Findings of the 2017 DiscoMT Shared Task on Cross-lingual Pronoun Prediction
We describe the design, the setup, and the evaluation results of the DiscoMT 2017 shared task on cross-lingual pronoun prediction. The task asked participants to predict a target-language pronoun given a source-language …
Language ModelingLanguage ModellingMachine TranslationSentence+1Neural Machine Translation for Cross-Lingual Pronoun Prediction
In this paper we present our systems for the DiscoMT 2017 cross-lingual pronoun prediction shared task. For all four language pairs, we trained a standard attention-based neural machine translation system as well as thre…
Language ModelingLanguage ModellingMachine TranslationPrediction+2Predicting Pronouns with a Convolutional Network and an N-gram Model
This paper describes the UU-Hardmeier system submitted to the DiscoMT 2017 shared task on cross-lingual pronoun prediction. The system is an ensemble of convolutional neural networks combined with a source-aware n-gram l…
Language ModelingLanguage ModellingMachine TranslationWord EmbeddingsA BiLSTM-based System for Cross-lingual Pronoun Prediction
We describe the Uppsala system for the 2017 DiscoMT shared task on cross-lingual pronoun prediction. The system is based on a lower layer of BiLSTMs reading the source and target sentences respectively. Classification is…
General ClassificationMachine TranslationPredictionSentence+1