Master of Arts course in Language and Information Processing

The Masters course in Language and Information Processing is aimed at students from linguistics, computational linguistics, translation, languages, computer science and mathematics backgrounds. The duration of the course is 12 months full-time (or 2-4 years part-time) and it gives students valuable hands-on experience through lab-based practical sessions as well as a solid theoretical grounding via lectures. The modules offered in this programme focus on different areas within language and information processing, ranging from computational linguistics and programming to translation tools and Cybermetrics. Graduates of the course will be well-placed to continue their studies at PhD level and to access positions in the language and information processing and related industries. The programme runs alongside the Erasmus Mundus Masters in Natural Language Processing & Human Language Technology (but does not benefit from the same scholarship scheme). Standard University of Wolverhampton postgraduate fees apply to this programme The starting date of this programme is September 2010.

The course will cover module topics such as: Computational Linguistics, Programming for Corpus Linguistics, Machine Translation and other NLP Applications, Translation tools for Professional Translators and Introduction to Cybermetrics. Students will also undertake an independent dissertation project and other research-related modules. As well as participating in the obligatory lectures students will have the opportunity to take part in a vibrant research environment and will be given the chance to become involved in various research projects. Attendance at visiting lecturers' seminars/internal reading groups and various other research activities will support and enhance their studies.

The programme will give students the opportunity to develop a range of postgraduate knowledge and skills. By the end of the course, students will be expected to demonstrate a confident understanding of theoretical issues, conceptual analysis of some sophistication and independent thinking over a sustained piece of work through the writing of conventional critical essays, portfolios of analyses and research exercises, and delivery of oral presentations. The dissertation provides an opportunity to consolidate knowledge and skills and focus them on a specific area of research interest.

Courses offered

Machine Translation and Other NLP applications (LN4004) (40 credits)
Module leader: Dr. Georgiana Marsic
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Computational Linguistics (LN4005) (40 credits)
Module leader: Dr. Georgiana Marsic
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Programming for Corpus Linguists (LN4003) (20 credits)
Module leader: Dr. Constantin Orasan
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Translation tools for professional translators (LN4006) (20 credits)
Module Leader: Prof. Gloria Corpas
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Recent advances in Natural Language Processing (LN4002) (20 credits)
Module leader: Richard Evans
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Introduction to cybermetrics (7MM001) (20 credits)
Module leader: Prof. Mike Thelwall
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Research Methods and Study Skills (7MM002) (20 credits)
Module leader: Ros Hampton
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Dissertation modules (60 credits)
Module leader: Dr. Constantin Orasan
The Masters dissertation is composed of three different modules:

A pre-requisite of this module is the Research Methods and Study Skills (7MM002) module.



How to apply

Applicants should have the following skills:

Applications should be made directly through the University website: http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD

Useful links

More general information about studying at University of Wolverhampton, including fees, can be found on University of Wolverhampton Postgraduate Taught courses website and the website of the International Office.

Please also consult a guide on budgeting your studies at UoW.

Contact information

For more information about the masters programme please contact Stephanie Kyle.

(c) 2006 - 2012 Research Group in Computational Linguistics
Last modified: February 08 2013