| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 2576980 | International Congress Series | 2006 | 4 Pages |
Abstract
We experimentally show that, in the grammar learning by recurrent neural networks, the networks can learn a word categorization that is consistent with the grammatical categories of words in exemplar sentences.
Related Topics
Life Sciences
Biochemistry, Genetics and Molecular Biology
Molecular Biology
Authors
Yoshihiko Suhara, Akito Sakurai,
