Search

Start Over Publisher Uppsala University Rights PUB Subject machine translation Harvested from LINDAT/CLARIAH-CZ repository

1. DiscoMT 2015 Shared Task on Pronoun Translation

Creator:
Hardmeier, Christian, Tiedemann, Jörg, Nakov, Preslav, Stymne, Sara, and Versley, Yannick
Publisher:
Uppsala University
Type:
text and corpus
Subject:
machine translation, coreference resolution, anaphora resolution, and discourse
Language:
English and French
Description:
The data set includes training, development and test data from the shared tasks on pronoun-focused machine translation and cross-lingual pronoun prediction from the EMNLP 2015 workshop on Discourse in Machine Translation (DiscoMT2015). The release also contains the submissions to the pronoun-focused machine translation along with the manual annotations used for the official evaluation as well as gold-standard annotations of pronoun coreference for the shared task test set.
Rights:
Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

2. DiscoMT 2016 Shared Task on Cross-lingual Pronoun Prediction

Creator:
Guillou, Liane, Hardmeier, Christian, Nakov, Preslav, Stymne, Sara, Tiedemann, Jörg, Versley, Yannick, Cettolo, Mauro, Webber, Bonnie, and Popescu-Belis, Andrei
Publisher:
Uppsala University
Type:
text and corpus
Subject:
machine translation, coreference, discourse, and pronouns
Language:
English, French, and German
Description:
Files for the DiscoMT 2016 shared task on cross-lingual pronoun prediction
Rights:
Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB

3. DiscoMT 2017 Shared Task on Cross-lingual Pronoun Prediction

Creator:
Loáiciga, Sharid, Stymne, Sara, Nakov, Preslav, Hardmeier, Christian, Tiedemann, Jörg, Cettolo, Mauro, and Versley, Yannick
Publisher:
Uppsala University
Type:
text and corpus
Subject:
machine translation, discourse, coreference, and pronouns
Language:
English, Spanish, German, and French
Description:
Data used in the 2017 shared task on cross-lingual pronoun prediction.
Rights:
Creative Commons - Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0), http://creativecommons.org/licenses/by-nc-nd/4.0/, and PUB