An alternative proposal for eliciting key words
The article reports research on the concept of key words as statistically significant items in a text or corpus. It reviews approaches to eliciting key words used in various software products for language analysis and the rationale for adopting them. Based on empirical data, a new method is proposed and tested on an exploratory corpus. The motivation and arguments for proposing the procedure are revealed, using comparisons between different languages. The adequacy of the results yielded by the different methods is tested via a mechanism developed with this research.
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