[apologies for cross-posting]

Automatic Post-editing task at the 10th Workshop on Statistical Machine
Translation (http://www.statmt.org/wmt15/ape-task.html)


This year WMT will include a pilot task on Automatic Post-editing (APE).
This new shared task will examine automatic methods for correcting errors
produced by an unknown machine translation (MT) system, by exploiting
knowledge acquired from previous human post-editions and 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


*DATA & EVALUATION*
Training, development and test materials respectively consist of
English-Spanish triples (source, target and post-edition) from the news
domain kindly provided by Unbabel (http://unbabel.com).

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
human-targeted TER (HTER).


*IMPORTANT DATES*
Release of training data:       *January 3*1, *2015*
Test set distributed:              * April 27*, *2015*
Submission deadline:            *May 15, 2015*
Paper submission deadline:  June TBD, 2015
Notification of acceptance:    July TBD, 2015
Camera-ready deadline:       August TBD, 2015

For any information or question on the task, please send an email to:
[email protected]
To be always updated about the APE pilot task, you can also join the
wmt-ape group: http://groups.google.com/a/fbk.eu/forum/#!forum/wmt-ape

We hope to see you in Lisbon!
The Ape task Organizers
Rajen Chatterjee
Matteo Negri
Marco Turchi
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