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	speaker adaptation ( SA ) </term> using the	new	<term> SI corpus </term> and a small amount	#17134 Second, we show a significant improvement for speaker adaptation (SA) using the new SI corpus and a small amount of speech from the new (target) speaker.
	small amount of <term> speech </term> from the	new	( target ) <term> speaker </term> . A <term>	#17145 Second, we show a significant improvement for speaker adaptation (SA) using the new SI corpus and a small amount of speech from the new (target) speaker.
	technique for failed parses </term> , and a	new	technique called <term> terminal substring	#17481 We describe three techniques for making syntactic analysis more robust---an agenda-based scheduling parser, a recovery technique for failed parses, and a new technique called terminal substring parsing.
	of its <term> search space </term> . As each	new	<term> edge </term> is added to the <term> chart	#17602 As each new edge is added to the chart, the algorithm checks only the topmost of the edges adjacent to it, rather than all such edges as in conventional treatments.
tech,30-2-C92-2115,bq	pints in <term> MT. This paper proposes a	new	type of </term><term> transfer system </term>	#18113 This paper proposes a new type of transfer system, called a Similarity-driven Transfer System (SimTran), for use in such case-based MT (CBMT).
	Language Processing </term> . In this paper , a	new	mechanism , based on the concept of <term>	#18290 In this paper, a new mechanism, based on the concept of sublanguage, is proposed for identifying unknown words, especially personal names, in Chinese newspapers.
	of use . We have recently reported on two	new	<term> word-sense disambiguation systems </term>	#19180 We have recently reported on two new word-sense disambiguation systems, one trained on bilingual material (the Canadian Hansards) and the other trained on monolingual material (Roget's Thesaurus and Grolier's Encyclopedia).
	Recognition ) corpus </term> represents a	new	<term> DARPA speech recognition technology	#19536 The CSR (Connected Speech Recognition) corpus represents a new DARPA speech recognition technology development initiative to advance the state of the art in CSR.
	</term> development for the past 5 years . The	new	<term> CSR corpus </term> supports research	#19581 The new CSR corpus supports research on major new problems including unlimited vocabulary, natural grammar, and spontaneous speech.
	corpus </term> supports research on major	new	problems including <term> unlimited vocabulary	#19588 The new CSR corpus supports research on major new problems including unlimited vocabulary, natural grammar, and spontaneous speech.
	<term> errors </term> , this paper proposes	new	methods using <term> m-th order Markov chain	#20678 In order to judge three types of the errors, which are characters wrongly substituted, deleted or inserted in a Japanese bunsetsu and an English word, and to correct these errors, this paper proposes new methods using m-th order Markov chain model for Japanese kanji-kana characters and English alphabets, assuming that Markov probability of a correct chain of syllables or kanji-kana characters is greater than that of erroneous chains.
	</term> and <term> ambiguity handling </term> . A	new	, flexible <term> inference method </term>	#20879 A new, flexible inference method for Horn logic program is proposed.


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