tech,10-1-P99-1022,ak This paper presents a novel method of generating and applying <term> hierarchical , dynamic topic-based language models </term> .
tech,5-2-P99-1022,ak It proposes and evaluates new <term> cluster generation </term> , <term> hierarchical smoothing </term> and <term> adaptive topic-probability estimation techniques </term> .
tech,8-2-P99-1022,ak It proposes and evaluates new <term> cluster generation </term> , <term> hierarchical smoothing </term> and <term> adaptive topic-probability estimation techniques </term> .
tech,11-2-P99-1022,ak It proposes and evaluates new <term> cluster generation </term> , <term> hierarchical smoothing </term> and <term> adaptive topic-probability estimation techniques </term> .
other,5-3-P99-1022,ak These combined models help capture <term> long-distance lexical dependencies </term> .
lr-prod,3-4-P99-1022,ak Experiments on the <term> Broadcast News corpus </term> show significant improvement in <term> perplexity </term> ( 10.5 % overall and 33.5 % on <term> target vocabulary </term> ) .
measure(ment),10-4-P99-1022,ak Experiments on the <term> Broadcast News corpus </term> show significant improvement in <term> perplexity </term> ( 10.5 % overall and 33.5 % on <term> target vocabulary </term> ) .
other,19-4-P99-1022,ak Experiments on the <term> Broadcast News corpus </term> show significant improvement in <term> perplexity </term> ( 10.5 % overall and 33.5 % on <term> target vocabulary </term> ) .
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