The term linguistic resources refers to (usually large) sets of language data and descriptions in machine readable form, to be used in building, improving, or evaluating natural language (NL) and speech algorithms or systems. Examples of linguistic resources are written and spoken corpora, lexical databases, grammars, and terminologies, although the term may be extended to include basic software tools for the preparation, collection, management, or use of other resources.
Language technology is often called human language technology (HLT) or natural language processing (NLP) and consists of computational linguistics (or CL) and speech technology as its core but includes also many application oriented aspects of them. Language technology is closely connected to computer science and general linguistics.
Natural language processing (NLP) is a field of computer science concerned with the interactions between computers and human (natural) languages. Natural language generation systems convert information from computer databases into readable human language. Natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate. Many problems within NLP apply to both generation and understanding; for example, a computer must be able to model morphology (the structure of words) in order to understand an English sentence, but a model of morphology is also needed for producing a grammatically correct English sentence.
- Human Language Technology. (2009, March 2). In Survey of the State of the Art in Human Language Technology (Web edition). Retrieved in 1997: http://www.dfki.de/~hansu/HLT-Survey.pdf
- Language technology. (2009, March 9). In Wikipedia, The Free Encyclopedia. Retrieved 18:53, April 1, 2008, from http://en.wikipedia.org/wiki/Language_technology
- Natural Language Processing. (2009, March 9). In Wikipedia, The Free Encyclopedia. Retrieved 13:39, March 5,2009, from http://en.wikipedia.org/wiki/Natural_language_processing
