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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Marchesi, M. Barabino, G. Benedicenti, L. |
| Copyright Year | 1996 |
| Description | Author affiliation: Dipartimento di Ingegneria Elettrica e Elettronica, Cagliari Univ., Italy (Marchesi, M.) |
| Abstract | A neural network approach for parsing natural language sentences in English is presented. It is limited to technical sublanguages, and is based on a multilayer perceptron. The network is able to assign to each word of a sentence its syntactic category, with a low rate of errors. The network is part of a system including pre- and post-processors, and can be run also in parallel to traditional grammar parsing, with both approaches taking advantage of each other to decrease the overall error rate. |
| Starting Page | 1476 |
| Ending Page | 1479 |
| File Size | 357608 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780331095 |
| DOI | 10.1109/MELCON.1996.551229 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1996-05-16 |
| Publisher Place | Italy |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Natural languages Vocabulary Electronic mail Error analysis Performance analysis Multilayer perceptrons Expert systems Pattern matching Databases |
| Content Type | Text |
| Resource Type | Article |
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