Transition-Based Coding and Formal Language Theory for Ordered Digraphs

Anssi Yli-Jyrä
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引用次数: 3

Abstract

Transition-based parsing of natural language uses transition systems to build directed annotation graphs (digraphs) for sentences. In this paper, we define, for an arbitrary ordered digraph, a unique decomposition and a corresponding linear encoding that are associated bijectively with each other via a new transition system. These results give us an efficient and succinct representation for digraphs and sets of digraphs. Based on the system and our analysis of its syntactic properties, we give structural bounds under which the set of encoded digraphs is restricted and becomes a context-free or a regular string language. The context-free restriction is essentially a superset of the encodings used previously to characterize properties of noncrossing digraphs and to solve maximal subgraphs problems. The regular restriction with a tight bound is shown to capture the Universal Dependencies v2.4 treebanks in linguistics.
有序有向图的转换编码与形式语言理论
基于转换的自然语言解析使用转换系统为句子构建有向标注图。本文定义了任意有序有向图的唯一分解和相应的线性编码,它们通过一个新的转换系统相互关联。这些结果为我们提供了有向图和有向图集的有效而简洁的表示。在分析有向图语法特性的基础上,给出了约束有向图编码集的结构边界,使之成为上下文无关的或正则字符串语言。上下文无关的限制本质上是以前用于描述非交叉有向图的属性和解决最大子图问题的编码的超集。具有紧界的规则限制被用来捕获语言学中的Universal Dependencies v2.4树库。
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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