Corpora: Graduate Course: COMPUTER SPEECH, TEXT, AND INTERNET TECHNOLOGY

[Patrick Gosling]

                   *** 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 at eng.cam.ac.uk
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