利用n元布尔多维数据集提高Prolog Lexical数据库的效率

R. Rankin
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引用次数: 2

摘要

PROLOG已被证明是一种有效的工具,可用于表达解析、自然语言处理和拼写验证等许多问题的逻辑[1,7,8,9,12]。作为一个类,这些问题处理作为Horn子句的词法数据库的操作。由于PROLOG通常不区分程序子句和数据子句,因此数据的内部表示和操作可能不是特定应用程序的最佳选择。本文讨论了一种通过使用N-gram分析、预过滤和与另一种高级语言集成来表示和操作词法数据库的替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Increasing the efficiency of Prolog Lexical databases with N-gram Boolean cubes
PROLOG has been shown to be an effective tool for expressing the logic of many problems dealing with parsing, natural language processing, and spelling verification [1,7,8,9,12]. As a class, these problems deal with the manipulation of lexical databases as Horn clauses. Since PROLOG does not generally differentiate between program clauses and data clauses, the internal representation and manipulation of data may not be optimal for a particular application. This paper discusses an alternative method of representing and manipulating lexical databases through the use of N-gram analysis, prefiltering, and integration with another high level language.
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