Flexible Parsing

P. Hayes, G. Mouradian
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引用次数: 88

Abstract

When people use natural language in natural settings, they often use it ungrammatically, missing out or repeating words, breaking-off and restarting, speaking in fragments, etc., Their human listeners are usually able to cope with these deviations with little difficulty. If a computer system wishes to accept natural language input from its users on a routine basis, it must display a similar indifference. In this paper, we outline a set of parsing flexibilities that such a system should provide. We go on to describe FlexP. a bottom-up pattern-matching parser that we have designed and implemented to provide these flexibilities for restricted natural language input to a limited-domain computer system.
灵活的解析
当人们在自然环境中使用自然语言时,他们经常使用不符合语法的语言,遗漏或重复单词,中断和重新开始,断断续续地说话,等等。他们的人类听众通常能够轻松应对这些偏差。如果一个计算机系统希望在日常基础上接受用户的自然语言输入,它必须表现出类似的冷漠。在本文中,我们概述了这样一个系统应该提供的一组解析灵活性。我们继续描述FlexP。一个自底向上的模式匹配解析器,我们设计并实现了它,为有限域计算机系统的受限自然语言输入提供了这些灵活性。
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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