Compressing messages on a per semantic component basis while...

Data processing: speech signal processing – linguistics – language – Linguistics – Natural language

Reexamination Certificate

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C707S793000

Reexamination Certificate

active

07010478

ABSTRACT:
A text message is first parsed into its constituent semantic components such as header fields and body components. Then, different compression methods may be performed on each semantic component depending on the importance of the semantic component, the context of the semantic component, the characteristics of the semantic component, and whether or not the semantic component uses natural language expressions. For example, it is determined what compression method, if any, is to be performed on the semantic component. Each semantic component may be compressed individually. Since text compression takes the unique features of each semantic component into consideration rather than considering the text message as a monolithic text unit, a more intuitive text compression results.

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“Text Mining: A New Frontier for Lossless Compression” Ian H. Witten, Zane Bray, Malika Mahoui, & Bill Teahen IEEE 1999, pp. 198-207, no month or day.

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