Syntactic analysis of natural language sentences based on rewriting systems and adaptivity | Zendy

Paulo Roberto Massa Cereda | Zendy; Newton Kiyotaka Miura | Zendy; João José Neto | Zendy

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Syntactic analysis of natural language sentences based on rewriting systems and adaptivity

Author(s) -

Paulo Roberto Massa Cereda,

Newton Kiyotaka Miura,

João José Neto

Publication year - 2018

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.2018.04.164

Subject(s) - computer science , rewriting , sentence , natural language processing , artificial intelligence , natural language , context (archaeology) , probabilistic logic , programming language , paleontology , biology

The intricate, dependent structures found in natural language pose as a challenge for computational processing. Existing approaches resort to either probabilistic models or case-oriented syntactic mappings, leading to unsatisfactory or excessively convoluted grammatical rules. As a means to reduce complexity and offer an incremental, hierarchical approach to the phenomenon of context sensitivity, this paper presents a rule-based rewriting system using adaptive technology for syntactic analysis of sentences in natural language. We provide a detailed description of a sentence with dependent constructs being decomposed into a syntactic tree through successive reductions as a proof of concept.

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