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.
Machine Translation and Other NLP applications (LN4004) (40 credits)
Module leader: Dr. Lucia Specia
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Computational Linguistics (LN4005) (40 credits)
Module leader: Dr. Lucia Specia
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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:
- Dissertation Proposal CP4064 (15 credits)
- Dissertation Presentation and Dissemination CP4065 (15 credits)
- Dissertation CP4028 (30 credits)
Applicants should have the following skills:
- Undergraduate degree (2:1 or above) in a related subject such as Computational Linguistics, Linguistics, Translation, Languages, Computer Science, Mathematics.
- For non-native English speakers a language certificate is required unless you have a degree from a recognised UK or English-language university. The levels accepted are IELTS 6.0 or above, at least 550 points on the paper-based Toefl or at least 80 points on the Internet-based Toefl. Alternate language entry requirements
- Some experience with linguistics or computational linguistics and knowledge of foreign languages (besides English) are a plus, but not necessary
Applications should be made directly through the University website: http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD
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.
For more information about the masters programme please contact Erin Stokes.