[Corpora-List] Masters Course and Studentships
Ted Briscoe
Ted.Briscoe at cl.cam.ac.uk
Mon Feb 9 10:25:00 UTC 2009
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COMPUTER SPEECH, TEXT, AND INTERNET TECHNOLOGY
ONE YEAR MASTERS COURSE
THE DEPARTMENT OF ENGINEERING AND THE COMPUTER LABORATORY
UNIVERSITY OF CAMBRIDGE
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** STUDENTSHIPS AVAILABLE **
A key aim of the masters course in Computer Speech, Text and
Internet Technology is to teach the fundamental theory of speech and
natural language processing. However, the course also focuses on its
application to information management and access within the
framework of Internet standards, such as XML text and speech annotation.
It runs from early October to end of June and consists of two terms
of lectures and practicals followed by a three month project. The
final degree is awarded on the basis of coursework, examination
and project.
The course differs from some other programmes by providing an
in-depth practical and theoretical grounding in the techniques for
speech and language processing which form the basis for today's
commercial and research prototype systems. There are strong links
with industry and many of our past students have gone on to work
for high-tech start-ups and industrial research laboratories, either
immediately or after completing a PhD.
Cambridge is a major international centre for research in both
speech and language processing. The course is taught by leading
researchers in these areas who have active collaborations with
industrial and academic laboratories in Europe, the US and Japan.
There are a number of funded studentships for the course which
are currently available to qualifying EU/UK applicants. We
especially encourage applications from students with a background in
engineering, computer science, mathematics, and/or linguistics.
For further details please consult the course URL:
http://www.cl.cam.ac.uk/admissions/cstit/
or contact:
Lise Gough
University of Cambridge
Computer Laboratory
William Gates Building
15 JJ Thomson Avenue
Cambridge CB3 0FD
Tel: +44 (0) 1223 334656
Email: cstit-enquiries at cl.cam.ac.uk
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