A00-2034 suggested using them for improving lexical acquisition . Korhonen ( 1997 ) uses them
C02-2002 Pentheroudakis Zixin Jiang Abstract Dynamic lexical acquisition is a procedure where the lexicon
A94-1029 efficacy of semantics , acquired by lexical acquisition tools ( i.e. ARIOSTO ) , has
A94-1030 that pure statistically-based lexical acquisition on the same corpus being tokenized
C04-1115 different weighting methods for lexical acquisition . The goal of this paper is to
C00-2118 technical issues in automatic lexical acquisition . Firstly , our results confirm
A94-1029 are also improved by the use of lexical acquisition tools . <title> IMPROVING CHINESE
C04-1115 poorly explored in application to lexical acquisition . There have been a few studies
C04-1115 can be used to perform various lexical acquisition tasks , e.g. automatically classify
C04-1115 promising possibility to speed up the lexical acquisition process is to glean the semantics
A92-1025 statistical methods to problems in lexical acquisition . 1 Introduction Text categorization
A97-1002 visual object recognition for lexical acquisition . <title> High Performance Segmentation
C02-2002 Affairs , R.O.C. <title> Dynamic Lexical Acquisition in Chinese Sentence Analysis
C02-2002 static dictionary and let dynamic lexical acquisition take over . In most cases , the
C00-2118 G KOKKINAKIS <title> Automatic Lexical Acquisition Based on Statistical Distributions
C04-1177 useful for other tasks such as lexical acquisition . Whilst the results on balanced
C02-1062 the same weighting to perform lexical acquisition as to perform word-sense disambiguation
C04-1117 . Therefore , machinesupported lexical acquisition techniques increasingly deserve
C04-1153 Sampling for the first time to a lexical acquisition task ( learning verb complements
A88-1034 4.1 . First is the problem of lexical acquisition when lexical category assignments
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