在语法提取中失去理智

Masaya Taniguchi, S. Tojo
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引用次数: 0

摘要

树库语料库是一个树的集合,它代表一个句子的组成部分和依赖关系。我们的动机是从树库中提取语法规则,即分解树状数据结构并找到语法规则。在提取之后,我们需要验证语法的充分性,以便我们检查获得的语法的生成能力。在这一阶段,语法头是一个重要的特征,然而,在获得的语法中,头信息缺失。因此,我们建议用范畴语法(CG)的类型提升规则来补充丢失的头部信息。我们将同样的问题扩展到组合范畴语法(CCG),并使用广义类型提升来解决它。此外,我们通过在证明辅助系统Isabelle/ HOL中编写的形式证明来验证我们的语法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Losing a Head in Grammar Extraction
The treebank corpus is a collection of the tree that represents a sentence constituency and dependency relation. We are motivated to extract grammar rules from the treebank, that is to decompose the tree data structure and to find grammar rules. After the extraction, we need to validate the adequacy of the grammar so that we inspect the generative power of the obtained grammar. In this phase, the syntactic head is a significant feature, however, in the obtained grammar the head information is missing. Hence, we propose to supplement the lost head information with the type-raising rule of categorial grammar (CG). We extend the same issue to combinatory categorial grammar (CCG) and solve it using the generalized type-raising. Furthermore, we verify our grammar by the formal proof written in the proof assistant system, Isabelle/ HOL.
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