LINGUIST List 8.483

Wed Apr 9 1997

FYI: Machine Translation, NLP

Editor for this issue: Ljuba Veselinova <ljubalinguistlist.org>

Directory

  • Paul Bennett, MSc in Machine Translation
  • Henry S. Thompson, Places available on MSc course in Natural Language Processing

    Message 1: MSc in Machine Translation

     Date: Wed, 2 Apr 1997 11:59:35 +0100 (BST)
    From: Paul Bennett <paulccl.umist.ac.uk>
    Subject: MSc in Machine Translation


    Studentships for MSc in Machine Translation, UMIST

    The MSc in Machine Translation at UMIST, Manchester, has a quota of EPSRC studentships for entry in September 1997. These studentships pay fees + maintenance for UK students (fees only for EU students).

    The degree covers linguistics, computational linguistics, machine translation, translation theory, terminology, programming, information technology and corpus linguistics. It is assessed by coursework, examination and a dissertation.

    For further information about the degree and/or studentships, contact: Postgraduate Admissions Officer, Department of Language Engineering, UMIST, Manchester, M60 1QD, GB. Tel: 44-161-200-3102 Fax: 44-161-200-3099 email: pgadmissionsccl.umist.ac.uk

    There is also information on our web site: http://www.ccl.umist.ac.uk

    Paul Bennett

    Message 2: Places available on MSc course in Natural Language Processing

     Date: Fri, 4 Apr 97 13:59:44 BST
    From: Henry S. Thompson <htcogsci.ed.ac.uk>
    Subject: Places available on MSc course in Natural Language Processing


    Natural Language Processing Theme, MSc in Information Technology Department of Artificial Intelligence University of Edinburgh

    Places are available, commencing on 1 October 1997, for our one year full time, 2/3 years part-time, taught MSc course. The Natural Language Processing theme is one of five themes, each having different mixes of course modules to suit students' interests and aptitudes. Four modules are taken in each of the first two terms and are examined in April. There is also a major practical project during the period May to September.

    Applicants should have a good honours degree (minimum 2.2) and some previous computing experience.

    Of the forty modules available, ten (of which some are required) are particularly appropriate for the Natural Language Processing theme, allowing for a range of specialisation. Focus on either practical or theoretical issues is possible, and the MSc as a whole encompasses both symbolic and non-symbolic or statistical approaches to AI.

    Further information about research and teaching activities in the department in the area of Natural Language Processing can be found at: http://www.dai.ed.ac.uk/groups/nlp/NLP_home_page.html

    The University of Edinburgh, which is a research led university, was founded in 1583 and is ranked by a North American source as number three in the United Kingdom and number nine in the international league.

    The Department of Artificial Intelligence, acknowledged as the leading European centre for research and teaching in AI for more than 25 years, has more than 100 postgraduate students from over 20 overseas countries. It holds top ratings for the quality of its research and has also received a top rating for the quality of its teaching. It is centrally located in the city of Edinburgh which offers first rate cultural and sporting facilities.

    Limited support is available from EPSRC in the form of a small allocation of Advanced Course Studentships and a number of applicants will, if eligible, be nominated by the Department for such awards. To qualify for a full award an applicant must be a British subject with a first or second class honours degree, in which case research costs of 600 pounds are covered by the grant: in all other cases they are payable by the student. Applicants from outside the UK must provide their own funds; EC students may qualify for a fees only award from the Scottish Awards Agency for Scotland.

    There are excellent job opportunities in industry and business as systems engineers or applications engineers. Many students continue research and/or study within the department.

    Further details and application forms from, and any queries to:

    Mrs Judith Gordon MSc & PhD Admissions Department of Artificial Intelligence 5 Forrest Hill EDINBURGH EHl 2QL

    e-mail: judithdai.ed.ac.uk fax: 0131 650 6899 from UK +44 131 650 6899 from outside UK tel: 0131 650 3094 (9am-1pm) from UK +44 131 650 3094 (9am-1pm) from outside UK url: http: //www.dai.ed.ac.uk/