Difference between revisions of "Language Processing for Art"

Revision as of 10:36, 25 April 2009

Language Processing for Art: Reading, Writing, Listening, Speaking.

This course explores the relationship between text and image, interactivity, and the database/archive from the perspective of contemporary language processing techologies.

We will survey recent developments from the fields of natural language processing (NLP) and computational linguistics (CL) as well as relevant artistic upper-level course exploring natural language processing (NLP) and computational linguistics (CL) as applied to art. It explores questions of the relationship between text and image, interactivity, and the database/archive from the perspective of contemporary language processing technologies. This is an upper-level course, and requires previous programming experience.

• Python
• Natural Language Tool Kit (http://nltk.org)
• Notes on the Index. Rosalind Krauss.
• Database Aesthetics. Lev Manovich.

machines reading

optical character recognition

machines writing

natural language generation

they are listening

language recognition.

they are talking

speech synthesis.