Compound-term processing: Difference between revisions

Revision as of 20:46, 20 March 2015

Revision as of 20:46, 20 March 2015

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'''Compound term processing''' refers to a category of techniques used in [[information retrieval]] applications that perform matching on the basis of [[compound term]]s. Compound terms are built by combining two or more simple terms; for example, "triple" is a single word term, but "triple heart bypass" is a compound term.

Hey friends i like makin love. In August 2003, [[Concept Searching Limited]] introduced the idea of using statistical Compound Term Processing <ref>{{cite journal|url=http://www.conceptsearching.com/Web/UserFiles/File/Concept%20Searching%20Lateral%20Thinking.pdf|title=Lateral Thinking in Information Retrieval|journal=INFORMATION MANAGEMENT AND TECHNOLOGY|volume=36 PART 4}} The British Library Direct catalogue entry can be found here:[http://direct.bl.uk/bld/PlaceOrder.do?UIN=138451913&ETOC=RN]</ref>

CLAMOUR<ref>[http://webarchive.nationalarchives.gov.uk/20040117000117/statistics.gov.uk/methods_quality/clamour/default.asp] National Statistics CLAMOUR project</ref> is a European collaborative project which aims to find a better way to classify when collecting and disseminating industrial information & statistics. In contrast to the techniques discussed by Concept Searching Limited, CLAMOUR appears to use a linguistic approach, rather than one based on statistical modelling.

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Statistical compound term processing is also more adaptive than the linguistic approach taken by the CLAMOUR project, which must take into consideration the syntactic properties of the terms (i.e. part of speech, gender, number, etc.) and their combinations. CLAMOUR is highly language-dependent, whereas the statistical approach is language-independent.

==See also==

* [[Concept Searching Limited]]

* [[Enterprise search]]

* [[Information retrieval]]

== References ==

{{Reflist}}

== External links ==

{{Natural Language Processing}}

{{DEFAULTSORT:Compound Term Processing}}

[[Category:Information retrieval]]