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Today's Topics:
1. CfP to the Automatic Post-Editing shared task at WMT 2020
(Rajen Chatterjee)
----------------------------------------------------------------------
Message: 1
Date: Thu, 2 Apr 2020 10:36:26 -0700
From: Rajen Chatterjee <rajen.k.chatterjee@gmail.com>
Subject: [Moses-support] CfP to the Automatic Post-Editing shared task
at WMT 2020
To: moses-support@mit.edu, mt-list@eamt.org, corpora@uib.no,
linguist@listserv.linguistlist.org, NLP-IP account givem to manshri
<nlp-ai@cse.iitb.ac.in>, wmt-ape@fbk.eu
Message-ID:
<CAC4-+Ny50+B-1OvbUG3bFJGUpe98_-n+tb8sm3JQR45R8tQyCQ@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
CALL FOR PARTICIPATION
in the
Sixth Automatic Post-Editing (APE) shared task
at the Fifth Conference on Machine Translation (WMT20)
OVERVIEW
The sixth round of the APE shared task follows the success of the previous
rounds organised from 2015 to 2019. 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 lanaguge 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 training stage, the collected human post-edits have to be used to learn
correction rules for the APE systems. At test stage they will be used for
system evaluation with automatic metrics (TER and BLEU).
Differences from the 5th round (WMT 2019)
Compared to the the previous round, the main differences are:
- Addition of a new language pair (English --> Chinese)
- New source of data (Wikipedia)
- Maximum 2 submissions allowed (instead of 3)
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 March 28, 2020
Release of test data June 8, 2020
APE system submission deadline June 15, 2020
Manual evaluation June, 2020
Paper submission deadline July 15, 2020
Notification of acceptance August 17, 2020
Camera-ready deadline August 31, 2020
Conference November 11-12, 2020--On behalf of
the APE task organizers
--
-Regards,
Rajen Chatterjee.
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