Language Technologies

Overview

Students following this course will have the opportunity to explore issues relating to the distinct context of language-based problems and their treatment in automated machine applications.

You will undertake study of a variety of academic, scientific and applied approaches to language structure and language technologies, with a general focus on both linguistic theory and technological applications. Through this course you will develop an understanding of key issues, including: language structure, natural language processing, translation practice, machine-based learning and corpus analysis.

This course also provides the opportunity for you to carry out a practical research project, as well as the potential to collaborate with Bangor University 's Language Technologies Unit and use tools and resources from the their Welsh National Language Technologies Portal.

Careers

This Language Technologies program from Bangor University, develops skills and knowledge that employers need in a number of areas related to the field of language technologies, especially areas such as natural language processing, machine translation, text-to-speech conversion. You will also find that you develop transferable skills that will allow you to progress to different career areas or to continue your studies at PhD level in language technologies or a related field.

Graduates from this course will appeal to employers in a wide variety of fields related to the broader field of linguistics (e.g., education, management, government, research, health) especially where an understanding of language and human-machine interaction are needed. Others may seek to pursue careers where an understanding of language-based problems is relevant (e.g., translation, software development, cryptography, language planning). To that end, a Masters in Language Technologies might go on to obtain professional qualifications or to further enhance their employability in their chosen field. After successful completion of the MSc in Language Technologies, you may also decide to pursue an academic career in Computer Science or Computational Linguistics, by applying for a place on the PhD in either Computer Science or Linguistics.