#18814This 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,7-1-C88-2166,ak
natural language system
</term>
needs a
<term>
computational lexicon
</term>
, each
<term>
system
</term>
puts different
#18769Although every natural language system needs acomputational lexicon, each system puts different amounts and types of information into its lexicon according to its individual needs.
lr,19-4-C88-2166,ak
dictionaries ( MRD 's )
</term>
to create a
<term>
broad coverage lexicon
</term>
. For
<term>
intelligent interactive
#18858We have drawn primarily on explicit and implicit information from machine-readable dictionaries (MRD's) to create abroad coverage lexicon.
other,13-2-C88-2166,ak
systems
</term>
is shared or identical
<term>
information
</term>
. This paper presents our experience
#18803However, some of the information needed across systems is shared or identicalinformation.
tech,26-3-C88-2166,ak
lexical information
</term>
for use by
<term>
Natural Language Processing ( NLP ) systems
</term>
. We have drawn primarily on explicit
#18831This 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,21-1-C88-2166,ak
of
<term>
information
</term>
into its
<term>
lexicon
</term>
according to its individual needs
#18783Although every natural language system needs a computational lexicon, each system puts different amounts and types of information into itslexicon according to its individual needs.
lr,12-3-C88-2166,ak
and building
<term>
COMPLEX
</term>
, a
<term>
computational lexicon
</term>
designed to be a
<term>
repository
</term>
#18817This 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,21-3-C88-2166,ak
a
<term>
repository
</term>
of shared
<term>
lexical information
</term>
for use by
<term>
Natural Language
#18826This paper presents our experience in planning and building COMPLEX, a computational lexicon designed to be a repository of sharedlexical information for use by Natural Language Processing (NLP) systems.
other,8-4-C88-2166,ak
primarily on explicit and implicit
<term>
information
</term>
from
<term>
machine-readable dictionaries
#18847We have drawn primarily on explicit and implicitinformation from machine-readable dictionaries (MRD's) to create a broad coverage lexicon.
other,18-1-C88-2166,ak
puts different amounts and types of
<term>
information
</term>
into its
<term>
lexicon
</term>
according
#18780Although every natural language system needs a computational lexicon, each system puts different amounts and types ofinformation into its lexicon according to its individual needs.
tech,8-2-C88-2166,ak
<term>
information
</term>
needed across
<term>
systems
</term>
is shared or identical
<term>
information
#18798However, some of the information needed acrosssystems is shared or identical information.
other,5-2-C88-2166,ak
individual needs . However , some of the
<term>
information
</term>
needed across
<term>
systems
</term>
#18795However, some of theinformation needed across systems is shared or identical information.
tech,2-1-C88-2166,ak
lexical gap
</term>
. Although every
<term>
natural language system
</term>
needs a
<term>
computational lexicon
#18764Although 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,18-3-C88-2166,ak
computational lexicon
</term>
designed to be a
<term>
repository
</term>
of shared
<term>
lexical information
#18823This paper presents our experience in planning and building COMPLEX, a computational lexicon designed to be arepository of shared lexical information for use by Natural Language Processing (NLP) systems.
tech,11-1-C88-2166,ak
computational lexicon
</term>
, each
<term>
system
</term>
puts different amounts and types
#18773Although 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,10-4-C88-2166,ak
implicit
<term>
information
</term>
from
<term>
machine-readable dictionaries ( MRD 's )
</term>
to create a
<term>
broad coverage lexicon
#18849We have drawn primarily on explicit and implicit information frommachine-readable dictionaries ( MRD 's ) to create a broad coverage lexicon.