Concordance

Query C88-2166 11 (512.8 per million)

tech,2-1-C88-2166,bq	Although every <term> natural language system </term> needs a <term> computational lexicon </term> , each <term> system </term> puts different amounts and types of information into its <term> lexicon </term> according to its individual needs .	#15917 Although everynatural language system needs a computational lexicon, each system puts different amounts and types of information into its lexicon according to its individual needs.
lr,7-1-C88-2166,bq	Although every <term> natural language system </term> needs a <term> computational lexicon </term> , each <term> system </term> puts different amounts and types of information into its <term> lexicon </term> according to its individual needs .	#15922 Although every natural language system needs acomputational lexicon, each system puts different amounts and types of information into its lexicon according to its individual needs.
tech,11-1-C88-2166,bq	Although every <term> natural language system </term> needs a <term> computational lexicon </term> , each <term> system </term> puts different amounts and types of information into its <term> lexicon </term> according to its individual needs .	#15926 Although every natural language system needs a computational lexicon, eachsystem puts different amounts and types of information into its lexicon according to its individual needs.
lr,21-1-C88-2166,bq	Although every <term> natural language system </term> needs a <term> computational lexicon </term> , each <term> system </term> puts different amounts and types of information into its <term> lexicon </term> according to its individual needs .	#15936 Although every natural language system needs a computational lexicon, each system puts different amounts and types of information into itslexicon according to its individual needs.
tech,8-2-C88-2166,bq	However , some of the information needed across <term> systems </term> is shared or identical information .	#15951 However, some of the information needed acrosssystems is shared or identical information.
lr-prod,9-3-C88-2166,bq	This paper presents our experience in planning and building <term> COMPLEX </term> , a <term> computational lexicon </term> designed to be a repository of <term> shared lexical information </term> for use by <term> Natural Language Processing ( NLP ) systems </term> .	#15967 This paper presents our experience in planning and buildingCOMPLEX, a computational lexicon designed to be a repository of shared lexical information for use by Natural Language Processing (NLP) systems.
lr,12-3-C88-2166,bq	This paper presents our experience in planning and building <term> COMPLEX </term> , a <term> computational lexicon </term> designed to be a repository of <term> shared lexical information </term> for use by <term> Natural Language Processing ( NLP ) systems </term> .	#15970 This paper presents our experience in planning and building COMPLEX, acomputational lexicon designed to be a repository of shared lexical information for use by Natural Language Processing (NLP) systems.
other,20-3-C88-2166,bq	This paper presents our experience in planning and building <term> COMPLEX </term> , a <term> computational lexicon </term> designed to be a repository of <term> shared lexical information </term> for use by <term> Natural Language Processing ( NLP ) systems </term> .	#15978 This paper presents our experience in planning and building COMPLEX, a computational lexicon designed to be a repository ofshared lexical information for use by Natural Language Processing (NLP) systems.
tech,26-3-C88-2166,bq	This paper presents our experience in planning and building <term> COMPLEX </term> , a <term> computational lexicon </term> designed to be a repository of <term> shared lexical information </term> for use by <term> Natural Language Processing ( NLP ) systems </term> .	#15984 This paper presents our experience in planning and building COMPLEX, a computational lexicon designed to be a repository of shared lexical information for use byNatural Language Processing ( NLP ) systems.
lr,10-4-C88-2166,bq	We have drawn primarily on explicit and implicit information from <term> machine-readable dictionaries ( MRD 's ) </term> to create a <term> broad coverage lexicon </term> .	#16002 We have drawn primarily on explicit and implicit information frommachine-readable dictionaries ( MRD 's ) to create a broad coverage lexicon.
lr,19-4-C88-2166,bq	We have drawn primarily on explicit and implicit information from <term> machine-readable dictionaries ( MRD 's ) </term> to create a <term> broad coverage lexicon </term> .	#16011 We have drawn primarily on explicit and implicit information from machine-readable dictionaries (MRD's) to create abroad coverage lexicon.


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