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First Workshop on Translation Quality Estimation and Automatic Post-Editing
Boston, Massachusetts, March 21, 2018
@AMTA 2018
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The goal of quality estimation is to evaluate a translation system’s
quality without access to reference translations (Blatz et al., 2004;
Specia et al., 2013). This has many potential usages: informing an end
user about the reliability of translated content; deciding if a
translation is ready for publishing or if it requires human
post-editing; highlighting the words that need to be changed. Quality
estimation systems are particularly appealing for crowd-sourced and
professional translation services, due to their potential to
dramatically reduce post-editing times and to save labor costs (Specia,
2011). The increasing interest in this problem from an industrial angle
comes as no surprise (Turchi et al., 2014; de Souza et al., 2015;
Martins et al., 2016, 2017; Kozlova et al., 2016). A related task is
that of automatic post-editing (Simard et al. (2007), Junczys-Dowmunt
and Grundkiewicz (2016)), which aims to automatically correct the output
of machine translation. Recent work (Martins, 2017, Kim et al., 2017,
Hokamp, 2017) has shown that the tasks of quality estimation and
automatic post-editing benefit from being trained or stacked together.
In this workshop, we will bring together researchers and industry
practitioners interested in the tasks of quality estimation (word,
sentence, or document level) and automatic post-editing, both from a
research perspective and with the goal of applying these systems in
industrial settings for routing, for improving translation quality, or
for making human post-editors more efficient. Special emphasis will be
given to the case of neural machine translation and the new open
problems that it poses for quality estimation and automatic post-editing.
The workshop will consist of one full day of technical presentations,
including a tentative number of 6 invited talks and 1 contributed talk,
followed by a 30-minutes panel discussion. There will be a poster
session featuring the papers accepted for publication in the workshop
proceedings.
SUBMISSIONS
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We invite the submission of original research papers, review papers as
well as position papers, related to the topic of the workshop. The
papers should not be longer than four pages, excluding references.
Topics of the workshop include but are not limited to:
- Research, review, and position papers on document-level,
sentence-level, or word-level Quality Estimation
- Research, review, and position papers on Automatic Post-Editing
- Machine learning techniques for exploiting the interaction among these
two tasks (e.g. stacking and multi-task learning)
- Corpora curation technologies for developing Quality Estimation datasets
- User studies showing the impact of Quality Estimation tools in
translator productivity
- Automatic metrics for translation fluency and adequacy
- Quality Estimation tailored to Neural Machine Translation
- Quality Estimation tailored to Human Translation
Papers should be formatted according to the ACL template
(http://acl2018.org/downloads/acl18-latex.zip).
Papers should be submitted via START system to
_https://www.softconf.com/amta2018/qeape/_
Papers will be reviewed for relevance and quality. Accepted papers will
be posted online, and offered oral or poster presentations.
IMPORTANT DATES
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* *Submission deadline: February 2*
* Notification date: February 9
* Camera ready deadline: February 16
* Workshop day: March 21
ORGANIZERS
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André Martins (Unbabel and University of Lisbon):
[email protected] <mailto:[email protected]>
Ramon Astudillo (Unbabel and INESC-ID Lisboa): [email protected]
<mailto:[email protected]>
João Graça (Unbabel): [email protected] <mailto:[email protected]>
--
Mikel L. Forcada http://www.dlsi.ua.es/~mlf/
Departament de Llenguatges i Sistemes Informàtics
Universitat d'Alacant
E-03690 Sant Vicent del Raspeig
Spain
Office: +34 96 590 9776
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