other,44-2-P82-1035,ak However , a great deal of <term> natural language texts </term> e.g. , memos , rough drafts , <term> conversation transcripts </term> etc. , have features that differ significantly from neat <term> texts </term> , posing special problems for readers , such as misspelled <term> words </term> , missing <term> words </term> , poor <term> syntactic construction </term> , missing periods , etc .
other,6-2-P82-1035,ak However , a great deal of <term> natural language texts </term> e.g. , memos , rough drafts , <term> conversation transcripts </term> etc. , have features that differ significantly from neat <term> texts </term> , posing special problems for readers , such as misspelled <term> words </term> , missing <term> words </term> , poor <term> syntactic construction </term> , missing periods , etc .
tech,2-1-P82-1035,ak Most large <term> text-understanding systems </term> have been designed under the assumption that the <term> input text </term> will be in reasonably neat form , e.g. , <term> newspaper stories </term> and other edited texts .
tool,21-5-P82-1035,ak This method of using expectations to aid the understanding of scruffy <term> texts </term> has been incorporated into a working computer program called <term> NOMAD </term> , which understands scruffy <term> texts </term> in the <term> domain </term> of Navy messages .
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