</term> of <term> training data </term> . The method combines <term> domain independent acoustic
various <term> rhetorical functions </term> . The method involves automatically gathering a large
occurrences of a <term> morpheme </term> ) . Our method is seeded by a small <term> manually segmented
homophone errors </term> . This paper proposes a method for detecting and correcting <term> Japanese
pronouns </term> . <term> Boosting </term> , the method in question , combines the moderately accurate
tech,1-7-J05-1003,bq Street Journal treebank </term> . The <term> method </term> combined the <term> log-likelihood </term>
approach </term> . The advantage of this novel method is that it clusters all <term> inflected
boosting approach </term> . We argue that the method is an appealing alternative — in terms
tech,1-2-H05-1095,bq i.e. <term> phrases </term> with gaps . A <term> method </term> for producing such <term> phrases </term>
particular scenario . This paper introduces a method for <term> computational analysis of move
the whole <term> sentence </term> again . This method is also capable of handling <term> unknown
tech,1-2-P05-1034,bq <term> phrasal translation </term> . This <term> method </term> requires a <term> source-language </term>
synonymous expressions </term> . Our proposed method improves the <term> accuracy </term> of our
tech,8-6-P01-1007,bq </term><term> evaluation </term> of this <term> method </term> on a <term> wide coverage English grammar
tech,4-1-C94-1077,bq </term> . A new , flexible <term> inference method </term> for <term> Horn logic program </term>
bilingual or multMingual texts </term> . A method for <term> error correction </term> of <term>
pragmatics processing </term> , we describe how the method of <term> abductive inference </term> is inherently
tech,3-1-C04-1116,bq more robust . We present a <term> text mining method </term> for finding <term> synonymous expressions
tech,6-3-I05-5008,bq paraphrase </term> sets produced by this <term> method </term> thus seem adequate as <term> reference
tech,8-1-P05-1069,bq paper , we present a novel <term> training method </term> for a <term> localized phrase-based
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