MA Computational Linguistics
Why choose this course?
Are you interested in working with cutting-edge technology at the forefront of language processing?
MA Computational Linguistics is a course run by a leading research group at the University of Wolverhampton. As a Masters student on this course, you will be part of our Research Institute of Information and Language Processing (RIILP), an independent, research-driven University unit specialising in Linguistics and Natural Language Processing.
As the name suggests, Computational Linguistics (sometimes called Natural Language Processing) is the use of computers to study language. On the course, you will be able to study:
- How to use Python and the well-established NLTK library to process natural language texts;
- How to analyse real language usage;
- How to automatically translate text using computer programs;
- The use of computers to study features of language;
- Translation tools such as translation memory systems;
- Computer techniques for automatically classifying natural language texts;
- Understand how Siri, Amazon Echo and Google Home etc. work;
- How to design an experiment that will thoroughly test your research questions.
Career Paths
Graduates of this course 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 language processing and human language technology industries, 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. It should be noted that computer programming is a skill that is increasingly sought after by many companies from technological backgrounds and skills gained from this course will place graduates in a good position to take up such posts. Past graduates from this course have also gone on to successful careers specifically within the computer programming industry.
Why choose this course?
Are you interested in working with cutting-edge technology at the forefront of language processing?
MA Computational Linguistics is a course run by a leading research group at the University of Wolverhampton. As a Masters student on this course, you will be part of our Research Institute of Information and Language Processing (RIILP), an independent, research-driven University unit specialising in Linguistics and Natural Language Processing.
As the name suggests, Computational Linguistics (sometimes called Natural Language Processing) is the use of computers to study language. On the course, you will be able to study:
- How to use Python and the well-established NLTK library to process natural language texts;
- How to analyse real language usage;
- How to automatically translate text using computer programs;
- The use of computers to study features of language;
- Translation tools such as translation memory systems;
- Computer techniques for automatically classifying natural language texts;
- Understand how Siri, Amazon Echo and Google Home etc. work;
- How to design an experiment that will thoroughly test your research questions.
Career Paths
Graduates of this course 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 language processing and human language technology industries, 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. It should be noted that computer programming is a skill that is increasingly sought after by many companies from technological backgrounds and skills gained from this course will place graduates in a good position to take up such posts. Past graduates from this course have also gone on to successful careers specifically within the computer programming industry.
