LINGUIST List 27.652
Wed Feb 03 2016
Calls: Comp Ling/Germany
Editor for this issue: Amanda Foster <amandalinguistlist.org>
Jörg Tiedemann <jorg.tiedemann
Shared Task: Cross-lingual Pronoun Prediction E-mail this message to a friend
Full Title: Shared Task: Cross-lingual Pronoun Prediction
Short Title: DiscoMT
Date: 11-Aug-2016 - 11-Aug-2016
Location: Berlin, Germany
Contact Person: Liane Guillou
Meeting Email: < click here to access email >
Web Site: http://www.statmt.org/wmt16/pronoun-task.html
Linguistic Field(s): Computational Linguistics
Call Deadline: 11-Apr-2016
Pronoun translation poses a problem for current state-of-the-art SMT systems as pronoun systems do not map well across languages, e.g., due to differences in gender, number, case, formality, or humanness, and to differences in where pronouns may be used. Translation divergences typically lead to mistakes in SMT, as when translating the English ''it'' into French (''il'', ''elle'', or ''cela''?) or into German (''er'', ''sie'', or ''es''?). One way to model pronoun translation is to treat it as a cross-lingual pronoun prediction task.
We propose such a task, which asks participants to predict a target-language pronoun given a source-language pronoun in the context of a sentence. We further provide a lemmatised target-language human-authored translation of the source sentence, and automatic word alignments between the source sentence words and the target-language lemmata. In the translation, the words aligned to a subset of the source-language third-person pronouns are substituted by placeholders. The aim of the task is to predict, for each placeholder, the word that should replace it from a small, closed set of classes, using any type of information that can be extracted from the documents.
Call for Participation:
WMT 2016 Shared Task on Cross-lingual Pronoun Prediction
At WMT 2016 (collocated with ACL 2016)
We are pleased to announce an exciting cross-lingual pronoun prediction task for people interested in (discourse-aware) machine translation, anaphora resolution and machine learning in general.
In the cross-lingual pronoun prediction task, participants are asked to predict a target-language pronoun given a source-language pronoun in the context of a sentence. For example, in the English-to-French sub-task, to predict the correct translation of ''it'' or ''they'' into French (ce, elle, elles, il, ils, ça, cela, on, Other). You may use any type of information that can be extracted from the documents. We provide training and development data and a simple baseline system using an N-gram language model.
Participants are invited to submit systems for the English-French and English-German language pairs, for both directions.
More details can be found below, and on our website: http://www.statmt.org/wmt16/pronoun-task.html
2 February 2016, Release of training data
4 April 2016, Release of test data
11 April 2016, System submission
8 May 2016, Paper submission deadline
5 June 2016, Notification of acceptance
22 June, Camera-ready deadline
Mailing list: https://groups.google.com/forum/#!forum/wmt-2016-cross-lingual-pronoun-prediction-shared-task
Page Updated: 03-Feb-2016