Lexical Acquisition in the Presence of Noise and Homonymy
Abstract
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.
Cite
Text
Siskind. "Lexical Acquisition in the Presence of Noise and Homonymy." AAAI Conference on Artificial Intelligence, 1994.Markdown
[Siskind. "Lexical Acquisition in the Presence of Noise and Homonymy." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/siskind1994aaai-lexical/)BibTeX
@inproceedings{siskind1994aaai-lexical,
title = {{Lexical Acquisition in the Presence of Noise and Homonymy}},
author = {Siskind, Jeffrey Mark},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1994},
pages = {760-766},
url = {https://mlanthology.org/aaai/1994/siskind1994aaai-lexical/}
}