Lexical acquisition in the presence of noise and homonymy
Jeffrey Mark Siskind · 1994
This paper conjectures a computational account of how children might learn the meanings of words in their native language. First, a simplified version of the lexical acquisition task faced by children is mod-eled by a precisely specified formal problem. Then, an implemented algorithm for solving this formal prob-lem is presented. Key advances of this algorithm over previously proposed algorithms are its ability to learn homonymous word senses in the presence of noisy in-put and its ability to scale up to problems of the size faced by real children.