6 February: fyi -- postgrad funding, Cambridge
Index of February 2001 | Index of year: 2001 | Full index
*** ONE YEAR GRADUATE COURSE ***
** STUDENTSHIPS AVAILABLE **
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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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This new Masters course replaces the highly successful
M.Phil in Computer Speech and Language Processing.
Like its predecessor, a key aim of the new Masters course
in Computer Speech, Text and Internet Technology is to
teach the fundamental theory of speech and natural
language processing. However, the new course also focuses
on its application to information management and access
within the framework of emerging Internet and W3C
standards, such as XML text and speech annotation and 3G
wireless communication.
It runs from early October to August 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.
To further strengthen our links with industry, we are
making this course available to students wishing to
pursue it on a part-time basis.
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.
The EPSRC have funded a number of studentships for the
course which are currently available to qualifying
applicants. We especially encourage applications from
students with a background in engineering, computer
science, mathematics, linguistics and/or psychology.
For further details please consult the course URL:
http://svr-www.eng.cam.ac.uk/cstit/
or contact:
Mrs Mavis Barber
(Computer Speech, Text, and Internet Technology)
Department of Engineering, University of Cambridge
Trumpington Street, Cambridge CB2 1PZ, UK
Tel: +44-1223-332752
Fax: +44-1223-332662
Email: mavis@eng.cam.ac.uk
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Index of February 2001 | Index of year: 2001 | Full index