The mission of the Research Group is to offer first-class research supervision and postgraduate teaching in the interdisciplinary areas of Language and Information Processing. MA 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.
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 modules offered in this programme focus on different areas within language and information processing, ranging from computational linguistics and programming to translation tools.
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 for language processing
• Research methods and professional skills
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. 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 dissertation provides an opportunity to consolidate knowledge and skills and focus them on a specific area of research interest. Graduates of the proposed course will meet national and international employment needs in industries such as translation, language technology, software development and information and communication technologies.
Information for international students
TOEFL 550; IELTS 6.0; or equivalent English proficiency. Visit: http://www.wlv.ac.uk/international
A good undergraduate degree (minimum classification 2.1) in a related subject such as computational linguistics, linguistics, translation, languages, computer science, mathematics and information sciences. Some experience with linguistics or computational linguistics is desirable. For non-native English speakers a language certificate showing a level of IELTS 6.0 or above.