Preference logic grammars

Bharat Jayaraman , Kannan Govindarajan , Surya Mantha
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引用次数: 16

Abstract

Preference logic grammars (PLGs) are introduced in this paper as a concise, declarative, modular, and efficient means of resolving ambiguity in logic grammars. Preference logic grammars can be thought as extensions of definite clause grammars (DCGs) and definite-clause translation grammars (DCTGs). Just as DCGs and DCTGs can be directly translated into logic programs, PLGs can be translated into preference logic programs (PLPs), which we introduced in our earlier work. We discuss two applications of PLGs: optimal parsing, and ambiguity resolution in programming-language and natural-language grammars. Optimal parsing is an extension of parsing wherein costs are associated with the different (ambiguous) parses of a string and the preferred parse is the one with least cost. Many problems can be viewed as optimal parsing problems, e.g., code generation, document layout, etc. In the area of natural language parsing, we illustrate the use of preference clauses for resolution of prepositional phrase attachment ambiguities, and point out the growing consensus in the literature on the need to explicitly specify preference criteria for ambiguity resolution.

偏好逻辑语法
优先逻辑语法(PLGs)是一种简洁、陈述性、模块化和高效的解决逻辑语法歧义的方法。偏好逻辑语法可以看作是定子句语法和定子句翻译语法的扩展。就像dcg和dctg可以直接转换成逻辑程序一样,plg可以转换成偏好逻辑程序(plp),我们在之前的工作中介绍了这一点。我们讨论了PLGs在编程语言和自然语言语法中的两个应用:最优解析和歧义解决。最优解析是解析的扩展,其中开销与字符串的不同(不明确的)解析相关联,首选解析是开销最小的解析。许多问题可以看作是最优解析问题,例如,代码生成、文档布局等。在自然语言分析领域,我们举例说明了使用偏好子句来解决介词短语附件歧义,并指出文献中越来越多的共识是需要明确指定歧义解决的偏好标准。
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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