Faculties and centres
Computational linguistics is a research area within Artificial Intelligence whose objective is to automatically model humans' linguistic communication ability, that is, the language through which we communicate with each other. It is therefore an interdisciplinary field, in which linguists, computer scientists, and mathematicians, but also experts in a particular domain, such as doctors, psychologists, lawyers, etc. are needed to accurately model the specific characteristics of a specialized context.
This subject is presented as a general introduction to the basic aspects of Computational Linguistics. Its fundamentals, as well as concepts related to corpus linguistics will be studied. Also, resources and tools for computational language modeling to automatically perform different types of linguistic analysis on a text (lexical, syntactic and semantic). Finally, practical applications will be explained. In particular, machine translation, which has a great relevance in the current society, since we have to deal with vast amounts of information in a great number of languages.
Demand for Computational Linguistics has risen in recent years. With the increasing availability of unstructured data, companies are searching for ways to better process and understand this information. Prestigious international companies such as Facebook, Yahoo, Google, Microsoft or IBM, to name just a few, have specialised departments in Computational Linguistics, where experts in this field with different profiles create and develop new resources with the objective of improving the capacity of language understanding and generation in an automatic manner.
Specific Competences (CE)
General Competences of the Degree Course:>>Instrumental: Conceptual or Cognitive
General Competences of the Degree Course:>>Instrumental: Procedural or Methodological
General Competences of the Degree Course:>>Instrumental: Technological
General Competences of the Degree Course:>>Attitude: Individual
The aim of this course is that students learn basic but sufficient knowledge about Computational Linguistics, from a strongly computational perspective focused on automatic corpus analysis, computational modeling of natural language, existing tools and current applications such as machine translation, all of them with special emphasis on English and Spanish languages.