H90-1055 5 times were considered in the distributional analysis . 3.4 Analysis of the Experiment
H92-1019 approach is based on the well-known distributional analysis techniques proposed by Zellig
H90-1055 Section 3 , we investigate whether a distributional analysis can discover No . AFOSR-90-0066
H92-1030 can be learned solely through distributional analysis . 1 . INTRODUCTION This paper
C96-2202 and estimate their POSs using distributional analysis . Our method is based on the
H90-1055 syntactic cues such as the method of distributional analysis described in this paper . The
A83-1016 semantic patterns derived from distributional analysis permit the specification of a
H92-1030 , we demonstrated that simple distributional analysis over a corpus can lead to the
H90-1055 examine the possibility of using distributional analysis to dis - 3.2 The Algorithm The
D08-1045 and estimated their POSs using distributional analysis . The appropriateness of a word
C96-2202 parts of speech ( POSs ) , using a distributional analysis . Our experiments have shown
C92-1016 left-corner one , relies on a distributional analysis of the categories and the verification
C96-2202 Part-of-Speech Estimation Using Distributional Analysis </title> Shinsuke Mori Makoto
A83-1016 derived through techniques of distributional analysis -LSB- Hirschman and Sager , 1982
C65-1001 or sentences . Similarly , we " distributional analysis " restrictinus . / , as it generally
H92-1030 structure of a language . We use distributional analysis techniques similar to the techniques
H90-1055 derived automatically through distributional analysis , an approach attempted and abandoned
H92-1030 question " ( page 5 ) . To use distributional analysis to determine empirically whether
H90-1055 possible to discover by some kind of distributional analysis the kind of part-of-speech tags
A92-1013 fine . For example , a purely distributional analysis for word classification , such
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