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

机译:基于重写系统和适应性的自然语言句子句法分析

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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.
机译:在自然语言中发现的复杂,依赖性结构作为计算处理的挑战。现有方法采用概率型号或面向病例的句法映射,导致不满意或过度复杂的语法规则。作为减少复杂性并提供增量的分层方法的手段,对上下文敏感性的现象提供了一种基于规则的重写系统,用于使用自适应技术进行自然语言分析。我们通过连续减少作为概念证明,提供了对句子的详细描述,该句子通过连续减少作为概念证明而被分解成句法树。

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