Difference between revisions of "Language Processing for Art"
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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. | 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. | |
| + | |||
| + | Semantic Web. XML. metadata. | ||
| + | automatic content extraction. | ||
* machine reading | * machine reading | ||
Revision as of 11:53, 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.
Semantic Web. XML. metadata. automatic content extraction.
- machine reading
- optical character recognition
- machine writing
- text generation
- listening
- language recognition
- automatic-phone systems
- talking
- speech synthesis
- O.S. built in speech synthesis
- accessibility tools
