*CALL** FOR PARTICIPATION*
*in the*
*seventh Automatic Post-Editing (APE) shared task *
*at the sixth Conference on Machine Translation (WMT21)*
*OVERVIEW*
The 7th round of the APE shared task follows the success of the previous
rounds organized from 2015 to 2020. The aim is to examine *automatic
methods for correcting errors produced by an unknown machine translation
(MT) system.* This has to be done by exploiting knowledge acquired from
human post-edits, which are provided as training material.
Goals
The aim of this task is to improve MT output in black-box scenarios, in
which the MT system is used "as is" and cannot be modified. From the
application point of view, APE components would make it possible to:
- Cope with systematic errors of an MT system whose decoding process is
not accessible
- Provide professional translators with improved MT output quality to
reduce (human) post-editing effort
- Adapt the output of a general-purpose system to the lexicon/style
requested in a specific application domain
Task Description
This year the task will use Wikipedia data for English --> German and
English --> Chinese language pairs. In these datasets, the source sentences
have been translated into the target language by using a state-of-the-art
neural MT system unknown to the participants (in terms of system
configuration) and then manually post-edited. This dataset is shared by
both Automatic Post-Editing and Quality Estimation shared tasks.
At the training stage, the collected human post-edits have to be used to
learn correction rules for the APE systems. At the test stage they will be
used for system evaluation with automatic metrics (TER and BLEU).
*DIFFERENCES FROM THE 6th ROUND (WMT 2020)*
Compared to the previous round, the main differences are:
- The same data has been re-post-edited to improve the quality
Evaluation
Systems' performance will be evaluated with respect to their capability to
reduce the distance that separates an automatic translation from its
human-revised version. Such distance will be measured in terms of TER,
which will be computed between automatic and human post-edits
in case-sensitive mode. Also, BLEU will be taken into consideration as a
secondary evaluation metric.
Important dates
Release of training and development data
May 01, 2021
Release of test data
July 10, 2021
APE system submission deadline
July 17, 2021
Manual evaluation
August
Paper submission deadline
August 5, 2021
Notification of acceptance
September 5, 2021
Camera-ready deadline
September 15, 2021
Conference (Workshops & Tutorials)
November 10-11, 2021
--
-Regards,
Rajen Chatterjee.
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