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Subject:UCLA short course on "Machine Translatio From:"Goodin, Bill" <BGoodin -at- UNEX -dot- UCLA -dot- EDU> Date:Wed, 28 Feb 1996 22:27:16 -0800
On April 22-24, 1996, UCLA Extension will present the short course,
"Machine Translation", on the UCLA campus in Los Angeles.
The instructors are Eduard Hovy, PhD, USC Information Sciences Institute;
Kevin Knight, PhD, USC Information Sciences Institute; and Jaime Carbonell,
PhD, Carnegie Mellon University.
Machine translation describes computer translation of one human language
to another, and is one of the oldest large-scale applications of computer
science. In today's increasingly networked world, the need for systems to
translate documents to and from a variety of languages is expanding, for
applications as diverse as:
o Multilingual e-mail
o Browsing (such as on the World Wide Web) texts in other
languages
o High-quality translation of business letters and reports
o Translation of technical documents and articles
o Speech-to-speech translation for business and travel.
While useful MT technology is currently available, it is not yet capable of
providing both high-quality and wide-domain performance simultaneously.
For higher quality, the domain may be limited, and human assistance
required while for wider domain, output quality may be sacrificed. MT
research continues to push the boundaries of this automation-quality-scope
continuum. New techniques, such as statistical MT and example-based MT,
add new capabilities and possibilities to the older tried-and-true methods
and theories of MT. But comparing systems, and measuring MT quality,
can be challenging.
This course covers the entire scope of machine translation, including the
original and the latest techniques and technology. It is intended for both
the interested layperson as well as the computer science professional who
wants to become familiar enough with the technology to construct a simple
MT system, or to make informed decisions when purchasing an MT system
or MT services.
The course fee is $1195, which includes extensive course materials.
For additional information and a complete course description, please
contact Marcus Hennessy at: