免费词序和重新启动自动机

IF 0.4 4区计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Fundamenta Informaticae Pub Date : 2014-10-01 DOI:10.3233/FI-2014-1083

F. Mráz, F. Otto, Martin Plátek

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引用次数: 4

摘要

在词序高度自由的自然语言中，依赖关系(从属关系)或配价等句法现象不依赖于词序(或单个单词的单个位置)。这意味着这些语言的句子的某些排列在某种(重要的)意义上是语法等价的。这里我们以一种正式的方式来研究这一现象。用于重新启动自动机的各种类型的j-单调性可以作为句子(语言)中词序自由程度和词序复杂性的参数。在这里，我们将两种类型的参数结合在重新启动自动机的计算上:j单调度和每个周期的重写次数。我们对这些概念进行形式化的研究是为了获得一个适当的工具来建模和比较具有不同程度词序自由和词序复杂性的(自然)语言的形式化描述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Free Word-Order and Restarting Automata

In natural languages with a high degree of word-order freedom, syntactic phenomena like dependencies (subordinations) or valences do not depend on the word-order (or on the individual positions of the individual words). This means that some permutations of sentences of these languages are in some (important) sense syntactically equivalent. Here we study this phenomenon in a formal way. Various types of j-monotonicity for restarting automata can serve as parameters for the degree of word-order freedom and for the complexity of word-order in sentences (languages). Here we combine two types of parameters on computations of restarting automata: the degree of j-monotonicity, and the number of rewrites per cycle. We study these notions formally in order to obtain an adequate tool for modelling and comparing formal descriptions of (natural) languages with different degrees of word-order freedom and word-order complexity.

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来源期刊

Fundamenta Informaticae 工程技术-计算机：软件工程

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

9.8 months

期刊介绍： Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing: solutions by mathematical methods of problems emerging in computer science solutions of mathematical problems inspired by computer science. Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, algebraic and categorical methods.