"Named entities" is the NLP jargon for proper nouns which represent people, places, organisations, and so on. This module provides a very simple way of extracting these from a text. If we run the "extract_entities" routine on a piece of news coverage of recent UK political events, we should expect to see it return a list of hash references looking like this: { entity => 'Mr Howard', class => 'person', scores => { ... }, }, { entity => 'Ministry of Defence', class => 'organisation', ... }, { entity => 'Oxfordshire', class => 'place', ... }, The additional "scores" hash reference in there breaks down the various possible classes for this entity in an open-ended scale. WWW: http://search.cpan.org/dist/Lingua-EN-NamedEntity/ d-ports-gnome Git repository'/>
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* Add scim-chewing 0.0.1, SCIM chewing Chinese input methods.vanilla2005-01-23