Syntactic analysis of natural language sentences based on rewriting systems and adaptivity
Paulo Roberto Massa Cereda, Newton Kiyotaka Miura, João José Neto · Procedia Computer Science · 2018
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.