CALL FOR PAPERS

Special Issue on Pushing the frontier of Statistical Machine Translation

THE MACHINE TRANSLATION JOURNAL

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


Guest editors:
Lucia Specia (University of Wolverhampton)
and Nicola Cancedda (Xerox Research Centre Europe)


Many current approaches to statistical machine translation are based on
incremental improvements over a standard framework: word-alignments produced
by IBM-models, rules extracted from word alignments using heuristics, a
log-linear model combining commonly used features whose weights are
optimized on a development set using reference translations, and a
beam-search decoder to generate final translations.

This special issue is dedicated to alternative approaches to statistical MT
radically diverging in as many as possible of the aspects involved in the
process, including (but not limited to) the following:

- Word / phrase alignment (including hierarchical alignment)
- Rule / phrase extraction
- Statistical translation models
- Features / factors and ways to combine them
- Combination of linguistic and statistical methods
- Language modelling
- Real-time adaptation of MT with user feedback
- Domain adaptation of MT
- Parameter optimization
- Decoding

Contributions on approaches which still achieve performance levels below the
state of the art can be suitable for inclusion in this issue, provided they
stem from sound directions with clear potential for further developments.


Submission guidelines
------------------------------
- Authors should follow the "Instructions for Authors" available on the MT
Journal website:
http://www.springer.com/computer/artificial/journal/10590

- Submissions must be limited to 15 pages (including references)

- Papers should be submitted online directly on the MT journal's submission
website: http://www.editorialmanager.com/coat/default.asp, indicating this
special issue in 'article type'


Important dates
---------------------
- Deadline for 'Submission Intent' e-mail: September 15, 2009 -
contributors must send an email with the abstract of the submission to
lspecia@gmail.com

- Deadline for submissions: October 30, 2009

- Notification to the authors: December 20, 2009

- Deadline for camera-ready: January 30, 2009