Language Learning: An Interdisciplinary Perspective
Papers from the AAAI Spring Symposium
Paul Cohen, Andy Clark, Eduard Hovy, Tim Oates, and Michael Witbrock, Cochairs
Language learning is a grand challenge problem for Artificial Intelligence because it encompasses concept development and perceptual development, social learning and imitation, as well as learning the lexicon, the grammar, and other aspects of language; because it drives new technologies that apply widely to other kinds of sequential data; and because most of the world's knowledge is represented linguistically, so machines are limited by their inability to understand language.
The symposium brought together representatives of several communities — the corpus-based and grounded language learning communities, and the developmental psycholinguistics and language education communities — to assess progress in machine language learning and how what we know about human linguistic development might speed that progress.