International Masters Degree in Natural Language Processing and Human Language Technology
ObjectivesSuccessful completion of the programme will enable you to advance to PhD level at leading universities around the world in relevant disciplines. You will also be able to access research and development positions in industry or government organisations, as well as in academia.
Entry requirementsNormally, you should have a good Honours degree in linguistics, computer science or a related discipline.
Academic titleMA in Natural Language Processing and Human Language Technology
Course descriptionProgram Summary: - Funded by the European Union and Erasmus Mundus, this highly prestigious international award offers specialist training for industry, research and academia in the area of communication and language technologies
- Organised jointly by the University of Wolverhampton, Universit? de Franche-Comt? (France), Universitat Aut?noma de Barcelona (Spain), and Universidade do Algarve (Portugal), it is a flexible programme with a broad range of modules, and gives you the option to study in two or three of the above universities
- The course emphasises the practical application of expertise, and you will benefit from the experience and input of respected scholars, and guest lecturers, from the University of Wolverhampton and our partner institutions
- The programme offers a deep insight into various disciplines that contribute to methods of NLP and HLT, including linguistics, computational linguistics, and computer science
- It covers the fundamental aspects of each of these disciplines, yet also allows you to choose an appropriate combination of modules for the in-depth study of a particular aspect of language technologies
- You will carry out a research project on a topic of your choice under the supervision of leading specialists in the field
Typical Modules May Include: - Computational Linguistics
- Programming for Corpus Linguistics
- Machine Translation and other NLP applications
- Translation Tools for Professional Translators
- Recent Advances in Natural Language Processing
- Syntax
- Semantics
- Lexicology and Lexicography