other,3-1-P80-1026,ak interfaces </term> . When people use <term> natural language </term> in natural settings , they often
other,19-1-P80-1026,ak ungrammatically , missing out or repeating <term> words </term> , breaking-off and restarting , speaking
other,27-1-P80-1026,ak breaking-off and restarting , speaking in <term> fragments </term> , etc . . Their human listeners are
tech,2-3-P80-1026,ak deviations with little difficulty . If a <term> computer system </term> wishes to accept <term> natural language
other,7-3-P80-1026,ak computer system </term> wishes to accept <term> natural language input </term> from its users on a routine basis
tech,9-4-P80-1026,ak In this paper , we outline a set of <term> parsing flexibilities </term> that such a <term> system </term> should
tech,14-4-P80-1026,ak parsing flexibilities </term> that such a <term> system </term> should provide . We go , on to describe
tool,6-5-P80-1026,ak should provide . We go , on to describe <term> FlexP </term> , a <term> bottom-up pattern-matching
tech,9-5-P80-1026,ak on to describe <term> FlexP </term> , a <term> bottom-up pattern-matching parser </term> that we have designed and implemented
tech,21-5-P80-1026,ak designed and implemented to provide these <term> flexibilities </term> for <term> restricted natural language
other,23-5-P80-1026,ak these <term> flexibilities </term> for <term> restricted natural language input </term> to a <term> limited-domain computer
tech,29-5-P80-1026,ak natural language input </term> to a <term> limited-domain computer system </term> . Robust <term> natural language interpretation
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