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	</term> , a <term> sentence planner </term> , and a	new	methodology for automatically training <term>	#1349 In this paper, we present SPoT, a sentence planner, and a new methodology for automatically training SPoT on the basis of feedback provided by human judges.
	</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.
	these arguments , we introduce a number of	new	performance enhancing techniques including	#4102 Motivated by these arguments, we introduce a number of new performance enhancing techniques including part of speech tagging, new similarity measures and expanded stop lists.
	<term> word similarity measures </term> . The	new	criterion - <term> meaning-entailing substitutability	#5291 The new criterion - meaning-entailing substitutability - fits the needs of semantic-oriented NLP applications and can be evaluated directly (independent of an application) at a good level of human agreement.
	of 88.2 % . The article also introduces a	new	<term> algorithm </term> for the <term> boosting	#8866 The article also introduces a new algorithm for the boosting approach which takes advantage of the sparsity of the feature space in the parsing data.
	of the missing <term> fragments </term> . A	new	approach for <term> Interactive Machine Translation	#15639 A new approach for Interactive Machine Translation where the author interacts during the creation or the modification of the document is proposed.
	is unstable . Finally , we show how this	new	<term> tagger </term> achieves state-of-the-art	#5601 Finally, we show how this new tagger achieves state-of-the-art results in a supervised, non-training intensive framework.
	translation process </term> . This paper presents a	new	<term> interactive disambiguation scheme </term>	#15713 This paper presents a new interactive disambiguation scheme based on the paraphrasing of a parser's multiple output.
	In our demonstration at <term> ACL </term> ,	new	<term> users </term> of our <term> tool </term>	#9909 In our demonstration at ACL, new users of our tool will drive a syntax-based decoder for themselves.
	<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> occurs . In this paper we explore a	new	<term> theory of discourse structure </term>	#14086 In this paper we explore a new theory of discourse structure that stresses the role of purpose and processing in discourse.
	recognition </term> . First , we present a	new	paradigm for <term> speaker-independent (	#16993 First, we present a new paradigm for speaker-independent (SI) training of hidden Markov models (HMM), which uses a large amount of speech from a few speakers instead of the traditional practice of using a little speech from many speakers.
	thesis statements </term> ) . We describe a	new	system that enhances <term> Criterion </term>	#6673 We describe a new system that enhances Criterion's capability, by evaluating multiple aspects of coherence in essays.
other,21-7-H01-1049,bq	applications of this <term> technology </term> in <term>	new	domains </term> . Recent advances in <term>	#908 We have demonstrated this capability in several field exercises with the Marines and are currently developing applications of this technology innew domains.
	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.
	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.
	show significant efficiency gains for the	new	<term> algorithm </term> over the obvious <term>	#8894 Experiments show significant efficiency gains for the new algorithm over the obvious implementation of the boosting approach.
	<term> corpora </term> . This paper proposes a	new	methodology to improve the <term> accuracy	#6118 This paper proposes a new methodology to improve the accuracy of a term aggregation system using each author's text as a coherent corpus.
	uses these <term> patterns </term> to predict	new	inputs . <term> Error correction </term> is	#14011 A method for error correction of ill-formed input is described that acquires dialogue patterns in typical usage and uses these patterns to predict new inputs.
	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.


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