TAILIEUCHUNG - Báo cáo khoa học: "A Computational Analysis of Complex Noun Phrase in Messages"

Methods of text compression in Navy messages are not limited to sentence fragments and the omissions of function words such as the copula be. Text compression is also exhibited within ~grammatieal" sentences and is identified within noun phrases in Navy messages. Mechanisms of text compression include increased frequency of complex noun sequences and also increased usage of nominalizations. Semantic relationships among elements of a complex noun sequence can be used to derive a correct bracketing of syntactic constructions. . | A Computational Analysis of Complex Noun Phrases in Navy Messages Elaine Marsh Navy Center for Applied Research in Artificial Intelligence Naval Research Laboratory - Code 7510 Washington . 20375 ABSTRACT Methods of text compression in Navy messages are not limited to sentence fragments and the omissions of function words such as the copula be. Text compression is also exhibited within grammatical sentences and is identified within noun phrases in Navy messages. Mechanisms of text compression include increased frequency of complex noun sequences and also increased usage of nominalizations. Semantic relationships among elements of a complex noun sequence can be used to derive a correct bracketing of syntactic constructions. I INTRODUCTION At the Navy Center for Applied Research in Artificial Intelligence we have begun computer-analyzing and processing the compact text in Navy equipment failure messages specifically equipment failure messages about electronics and data communications systems. These messages are required to be sent within 24 hours of the equipment casualty. Narrative remarks are restricted to a length of no more than 99 lines and each line is restricted to a length of no more than 69 characters. Because hundreds of these messages are sent daily to update ship readiness data bases automatic procedures are being implemented to handle them efficiently. Our task has been to process them for purposes of dissemination and summarization and we have developed a prototype system for this purpose. To capture the information in the narrative we have chosen to use natural language understanding techniques developed at the Linguistic String Project Sager 1981 . These messages like medical reports Marsh 1982 and technical manuals Lehrberger 1982 exhibit properties of text compression in part due to imposed time and length constraints. Some methods of compression result in sentences that are usually called ill-formed in normal English texts Eastman 1981 . .

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