MA in Language and Information Processing at the University of Wolverhampton
The Computational Linguistics Research Group at the University of Wolverhampton is offering a 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 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@wlv.ac.uk
You can find out more about this course and how to register at by following this link<http://courses.wlv.ac.uk/course.asp?code=WL009P34UVD>.
Source: Corpora List