Lexical Attraction Models of Language
Deniz Yuret (2006)
- Lexical Attraction Models of Language. Still unpublished.
This paper presents on-going work on the lexical attraction models of
language, in which the only explicitly represented linguistic
knowledge is the likelihood of pairwise relations between words. This
is in contrast with models that represent linguistic knowledge in
terms of a lexicon, which assigns categories to each word, and a
grammar, which expresses possible combinations in terms of these
categories. The word-based nature and the simplicity of lexical
attraction models make them good candidates for experiments in
language learning. I introduce a parser and an on-line unsupervised
learning algorithm based on expectation maximization.