other,7-2-P01-1070,bq </term> , which are built from <term> shallow linguistic features </term> of <term> questions </term>
tech,4-2-N03-1026,bq Our <term> system </term> incorporates a <term> linguistic parser/generator </term> for <term> LFG </term>
other,27-1-C04-1112,bq classification ( maximum entropy ) </term> with <term> linguistic information </term> . Instead of building
other,12-3-N04-1022,bq that incorporate different levels of <term> linguistic information </term> from <term> word strings
power of <term> phrasal SMT </term> with the linguistic generality available in a <term> parser </term>
other,12-3-P06-2059,bq certain <term> layout structures </term> and <term> linguistic pattern </term> . By using them , we can
other,6-2-C86-1132,bq RAREAS </term> draws on several kinds of <term> linguistic and non-linguistic knowledge </term> and
other,25-2-J86-3001,bq <term> utterances </term> ( called the <term> linguistic structure </term> ) , a structure of <term>
other,1-3-J86-3001,bq <term> attentional state </term> ) . The <term> linguistic structure </term> consists of segments of
other,13-4-J86-3001,bq purposes </term> , expressed in each of the <term> linguistic segments </term> as well as relationships
other,8-3-P86-1011,bq turn to a discussion comparing the <term> linguistic expressiveness </term> of the two <term> formalisms
other,11-1-P86-1038,bq of <term> features </term> to describe <term> linguistic objects </term> . Although <term> computational
other,21-2-C88-2160,bq use any concepts of the underlying <term> linguistic theory </term> : it is a reformulation of
other,17-2-C88-2162,bq does not readily lend itself in the <term> linguistic domain </term> . For another , <term> linguistic
other,3-3-C88-2162,bq linguistic domain </term> . For another , <term> linguistic representation </term> used by <term> language
other,4-4-C88-2162,bq learning </term> . We introduced a new <term> linguistic representation </term> , the <term> Dynamic
other,3-7-C88-2162,bq identified two tasks : First , how <term> linguistic concepts </term> are acquired from <term> training
other,16-8-C88-2162,bq hierarchy </term> is used in predicting new <term> linguistic concepts </term> . Thus , a <term> program </term>
tech,12-4-C90-3063,bq statistics </term> on the output of other <term> linguistic tools </term> . An experiment was performed
other,27-2-J90-3002,bq dictionary </term> on the basis of a <term> linguistic theory </term> . If we want valuable <term>
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