Compound-term processing: Difference between revisions

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Statistical Compound Term Processing is more adaptive than the "phrase based indexing and retrieval" detailed by Anna Lynn Patterson in her patent applications. The "phrase based indexing" is targeted at searching the World Wide Web where Google can utilise their extensive statistical knowledge of common searches to identify candidate phrases. Statistical Compound Term Processing is more suited to [[Enterprise Search]] applications where such a priori knowledge is not available.
 
Statistical Compound Term Processing is also more adaptive than the linguistic approach taken by the CLAMOUR project which considers the syntactic properties of the terms (part of speech, gender, number) and their combination. CLAMOUR is highly language dependent, whereas the statistical approach is language independent. CLAMOUR is a European collaborative project which aims to find a better way to classify when collecting and disseminating industrial information & statistics.
 
==See also==