Call for Contributions for a Special Issue of MT Journal
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Machine Translation Journal

http://www.springer.com/computer/artificial/journal/10590

Special Issue on:
Automated Metrics for MT Evaluation

Building on the success of the first NIST Metrics for Machine Translation
Challenge (MetricsMATR), an organized evaluation of automated MT evaluation
metrics, the Machine Translation Journal is now issuing a call for
contributions for a special issue of the journal on the topic of automated
metrics for MT evaluation. The special issue will primarily focus on the
MetricsMATR evaluation and workshop. We encourage research groups that are
engaged in innovative and exciting research on automated MT metrics, and
particularly those groups that participated in the MetricsMATR
evaluation, to
submit extended papers describing their metrics and their research. In
addition, NIST will contribute an extensive paper to the special issue
documenting the evaluation and containing a comprehensive analysis of
results.
This special issue will provide a forum for this vital research to be
published and archived, so that it is accessible to the broad Machine
Translation and Computational Linguistics communities.

Submission Guidelines:
- Contributors must send a "Submission Intent" email message to
"MATR@nist.gov" by no later than April 1, 2009.
- Contributions will be accepted April 1, 2009 through May 10, 2009.
- Authors should follow the "Instructions for Authors" available on the MT
Journal website at:
http://www.springer.com/computer/artificial/journal/10590
- Submissions must be limited to 12 pages of content, with an additional
page
for references.
- Authors should explicitly identify the special issue in the title of their
submission.

Important Dates:
- April 1, 2009: Submission Intent email due
- May 10, 2009: Full paper contributions due
- May 31, 2009: Reviews completed
- June 15, 2009: Acceptance notifications sent out
- August 14, 2009: Final versions of papers due
- Fall 2009: Special Issue is published

Special Issue Guest Co-Editors:
- Alon Lavie (Carnegie Mellon University)
- Mark Przybocki (National Institute of Standards and Technology)

Contact:
- Please send inquiries to "MATR@nist.gov".

******************* Supporting Information *******************
MetricsMATR web site:
http://www.nist.gov/speech/tests/metricsmatr/
MetricsMATR 2008 results:
http://www.nist.gov/speech/tests/metrics/matr/2008/results/
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