26.2265, FYI: New: MA in Language and Information Processing at the University of Wolverhampton

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LINGUIST List: Vol-26-2265. Thu Apr 30 2015. ISSN: 1069 - 4875.

Subject: 26.2265, FYI:  New: MA in Language and Information Processing at the University of Wolverhampton

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Date: Thu, 30 Apr 2015 11:31:11
From: Constantin Orasan [c.orasan at wlv.ac.uk]
Subject: New: MA in Language and Information Processing at the University of Wolverhampton

 The Computational Linguistics Research Group at the University of Wolverhampton (http://rgcl.wlv.ac.uk) is offering a new Master of Arts in Language and Information Processing (MA LIP). The duration of study is one year full time, or between two and four years part time.

Graduates of MA LIP will become specialists in language and information processing. As the teaching on the course is based on research carried out within Research Institute in Information and Language Processing (RIILP), graduates will be well-placed to continue their academic/research careers by applying for PhD positions within RIILP or at other leading centres for language and information processing. This degree will also enable graduates to access research and development positions within the natural language processing and human language technology industry, as well as in related areas such as translation, software development and information and communication technologies, depending on their specific module choices and dissertation topic.

Our modules teach students not only the theoretical basis of subjects, but also transferable practical skills, such as programming and developing/using tools for language processing, which are necessary for working in industry as
well as for continuing in academia. Job adverts for language processing and related jobs often specify practical or programming skills as a requirement. We focus on exposure to commercial applications, particularly relevant to professionals and those wishing to enter industry. More generally, students will develop their practical, professional and research skills, as well as their intellectual and postgraduate generic skills, through meeting the learning outcomes of modules.

The modules taught will be as follows:

- Computer Programming in Python
- Corpus Linguistics in R
- Machine Translation and Other Natural Language Processing Applications
- Computational Linguistics
- Translation Tools for Professional Translators
- Machine Learning
- Research Methods and Professional Skills
- Dissertation

The course leader is Dr. Michael Oakes (Michael.Oakes at wlv.ac.uk).

More about this course can be found at http://rgcl.wlv.ac.uk/teaching/
Linguistic Field(s): Computational Linguistics
                     Text/Corpus Linguistics

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