Adaptive Automata Applied to Natural Language Processing | Zendy

Djalma Padovani | Zendy; João José Neto | Zendy

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Adaptive Automata Applied to Natural Language Processing

Author(s) -

Djalma Padovani,

João José Neto

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.386

Subject(s) - computer science , parsing , automaton , field (mathematics) , portuguese , natural language , state (computer science) , artificial intelligence , natural language processing , programming language , theoretical computer science , linguistics , philosophy , mathematics , pure mathematics

This work presents a brief review of the concepts of Adaptive Automata, detailing its mechanism of operation and main fields of application, highlighting the great potential of use in the field of natural language processing. Also, it is proposed Linguistico, an adaptive parser for Brazilian Portuguese, designed to dynamically modify its configuration, being able to insert and delete rules and change its behavior during execution. The effectiveness of the proposed framework is experimentally proven and the results obtained are comparable to the state of the art.

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