</term> than single <term> words </term> are . This leads us to consider the assignment of <term>
for <term> document classification </term> . This paper reports on work done for the <term>
<term> technical abstracting industry </term> . This paper proposes a model using <term> associative
</term> and <term> target word selection </term> . This paper will concentrate on the second requirement
to correct <term> homophone errors </term> . This paper proposes a method for detecting and
errors </term> in <term> compound nouns </term> . This method can not only detect <term> Japanese
correct candidates is one superiority of this method over existing methods . The basic
over existing methods . The basic idea of this method is that a <term> compound noun </term>
annealing approach </term> is used to implement this <term> alignment algorithm </term> . The preliminary
and to correct these <term> errors </term> , this paper proposes new methods using <term> m-th
bunsetsu </term> and <term> English words </term> . This paper describes the enhancements made ,
<term> translation equivalents </term> . To help this task we have developed an <term> interactive
semantic-head-driven generation </term> emerge from this method . With a parsimonious <term> instantiation
system </term> developed for <term> ATNs </term> . This paper reviews the theoretical literature
in terms of <term> Dynamic Grammars </term> . This paper introduces a simple mixture <term>
compared to using a <term> trigram model </term> . This paper describes a method of <term> detecting
automatic generation of hypertext links </term> . This paper summarizes the areas of research
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