ML Anthology

Grammar Learning by a Self-Organizing Network

Michiro Negishi
NeurIPS 1994 pp. 27-34
/neurips/1994/negishi1994neurips-grammar/

Abstract

This paper presents the design and simulation results of a self(cid:173) organizing neural network which induces a grammar from exam(cid:173) ple sentences. Input sentences are generated from a simple phrase structure grammar including number agreement, verb transitiv(cid:173) ity, and recursive noun phrase construction rules. The network induces a grammar explicitly in the form of symbol categorization rules and phrase structure rules.

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Text

Negishi. "Grammar Learning by a Self-Organizing Network." Neural Information Processing Systems, 1994.

Markdown

[Negishi. "Grammar Learning by a Self-Organizing Network." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/negishi1994neurips-grammar/)

BibTeX

@inproceedings{negishi1994neurips-grammar,
  title     = {{Grammar Learning by a Self-Organizing Network}},
  author    = {Negishi, Michiro},
  booktitle = {Neural Information Processing Systems},
  year      = {1994},
  pages     = {27-34},
  url       = {https://mlanthology.org/neurips/1994/negishi1994neurips-grammar/}
}