The 2013 Linguistic Institute will take place June 24 to July 19, 2013 on the campus of the University of Michigan in Ann Arbor, with the theme ‘Universality and Variability'. The Institute focus will be on the unusual synergies currently emerging in Linguistics, tied to exploring and modeling what is invariant about human language while also working to understand the complexities of linguistic variability.
What is computational linguistics?
Computational linguistics is the scientific study of language from a computational perspective. Computational linguists are interested in providing computational models of various kinds of linguistic phenomena. These models may be "knowledge-based" ("hand-crafted") or "data-driven" ("statistical" or "empirical"). Work in computational linguistics is in some cases motivated from a scientific perspective in that one is trying to provide a computational explanation for a particular linguistic or psycholinguistic phenomenon; and in other cases the motivation may be more purely technological in that one wants to provide a working component of a speech or natural language system. Indeed, the work of computational linguists is incorporated into many working systems today, including speech recognition systems, text-to-speech synthesizers, automated voice response systems, web search engines, text editors, language instruction materials, to name just a few.
Popular computational linguistics textbooks include:
- Christopher Manning and Hinrich Schütze (1999) Foundations of Statistical Natural Language Processing, Cambridge, Massachusetts, USA. MIT Press.
Also see the book's supplemental materials website at Stanford.
- Daniel Jurafsky and James Martin (2008) An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, Second Edition. Prentice Hall.