lr,10-4-C88-2166,bq explicit and implicit information from <term> machine-readable dictionaries ( MRD 's ) </term> to create a <term> broad coverage lexicon
lr,12-3-C88-2166,bq and building <term> COMPLEX </term> , a <term> computational lexicon </term> designed to be a repository of <term>
lr,19-4-C88-2166,bq dictionaries ( MRD 's ) </term> to create a <term> broad coverage lexicon </term> . For <term> intelligent interactive
lr,21-1-C88-2166,bq and types of information into its <term> lexicon </term> according to its individual needs
lr,7-1-C88-2166,bq natural language system </term> needs a <term> computational lexicon </term> , each <term> system </term> puts different
lr-prod,9-3-C88-2166,bq experience in planning and building <term> COMPLEX </term> , a <term> computational lexicon </term>
other,20-3-C88-2166,bq </term> designed to be a repository of <term> shared lexical information </term> for use by <term> Natural Language
tech,11-1-C88-2166,bq computational lexicon </term> , each <term> system </term> puts different amounts and types
tech,2-1-C88-2166,bq lexical gap </term> . Although every <term> natural language system </term> needs a <term> computational lexicon
tech,26-3-C88-2166,bq lexical information </term> for use by <term> Natural Language Processing ( NLP ) systems </term> . We have drawn primarily on explicit
tech,8-2-C88-2166,bq some of the information needed across <term> systems </term> is shared or identical information
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