M91-1018 corpus . Virtually all of our dictionary construction is done by hand . We examine
M92-1021 through the use of an automated dictionary construction tool called AutoSlog . The AutoSlog
M92-1021 particular attention to the problem o f dictionary construction . As a result , we are now in
I05-3013 knowledge engineering component in NIL dictionary construction and NIL features gen - eration
C80-1029 of proper parsing strategy and dictionary construction for the automatic analysis of
E87-1012 CONSTRUCTING A RHYME DICTIONARY Automatic dictionary construction can be easily done by using a
J01-2001 the area of data compression , dictionary construction , and information retrieval have
M91-1018 analyzed for the purposes of either dictionary construction or discours e analysis by the
J86-4003 language comprehension , bilingual dictionary construction , and reading theory . The problem
M91-1018 this effort in terms of ( 1 ) dictionary construction , and ( 2 ) discourse analysis
H05-1101 document retrieval and automatic dictionary construction . The most successful translation
C02-1099 previous works ) automatic bi-lingual dictionary construction , information retrieval , machine
C82-1026 rterbuchentwicklung fUr automatisches Indexing ( dictionary construction for automatic indexing ) , \
C82-1026 data is one of the main tasks of dictionary construction ( described in detail in \ -LSB-
J02-2004 resulting algorithm solves the dictionary construction problem addressed by Daciuk et
J12-3005 many practical purposes such as dictionary construction ) , however , a distinction between
H93-1039 reasonable because in our model for the dictionary construction process , we assume that nothing
M91-1018 direct us to useful texts during dictionary construction , and this application of the
J92-2004 language generation and automatic dictionary construction . The work of Calder ( 1989 )
J85-1001 entries and grammar rules ) , dictionary construction ( to enhance human efficiency
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