You can find a description of all the used methods in:

http://stp.ling.uu.se/~ebbag/somers.pdf

or an updated version of this paper in:
Michael Carl & Andy Way, Recent Advances in Example-based Machine Translation,
Text, Speech and Language Technology Series, Kluwer Academic Publishers (to appear).


there was a workshop on EBMT which includes many references:
http://www.compapp.dcu.ie/~away/EBMT.html

don't miss  your compatriot's work:
http://utmk.cs.usm.my/content/staff/mosleh.htm

There are also more statistics-based approaches, for instance at ISI :
http://www.isi.edu/~marcu/papers/transmem-acl01.pdf

or  at RALI (Michel Simard & Philippe Langlais)
http://www.iro.umontreal.ca/~felipe/Papers/amta-2002.pdf


good luck, Michael


Dr Normaziah Abdul Aziz wrote:


Dear MT list members,

Recently, there were active discussions and exchange of ideas on
Example-based Machine Translation (EBMT) issues in this mailing list. I
found that was interesting and useful discussions.

In relation to EBMT, I am looking into various methods of selecting the
best or closest similar sentences from examples stored in the parallel
text database.
Has any of you worked on this and/or  could give some pointers on such
selection methodology that is acceptablely functioning for English
language.

Thanks,

Dr. Normaziah
MIMOS
Malaysia







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