The recent ACL Business Meeting in Berlin featured a discussion of equity and diversity issues, based on the report of an ad hoc committee appointed by the ACL Exec. Here is the final version of the report, which has been approved by the ACL Exec and will be followed by a detailed implementation plan. Please click here to download the report.
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.