Concordance

Query performance 45 (2,098.0 per million)

	</term> and better <term> word similarity </term>	performance	. The work presented in this paper is the	#5377 Finally, a novel feature weighting and selection function is presented, which yields superior feature vectors and better word similarityperformance.
	discussions </term> , and evaluated their	performance	by means of two experiments : coarse-level	#5466 We tested the clustering and filtering processes on electronic newsgroup discussions, and evaluated their performance by means of two experiments: coarse-level clustering and simple information retrieval.
measure(ment),16-2-N04-1022,bq	functions </term> that measure <term> translation	performance	</term> . We describe a hierarchy of <term>	#6573 This statistical approach aims to minimize expected loss of translation errors under loss functions that measure translation performance.
	language sentences </term> . We report the	performance	of the <term> MBR decoders </term> on a <term>	#6615 We report the performance of the MBR decoders on a Chinese-to-English translation task.
	used to tune <term> statistical MT </term>	performance	for specific <term> loss functions </term>	#6639 Our results show that MBR decoding can be used to tune statistical MTperformance for specific loss functions.
	Results indicate that the system yields higher	performance	than a <term> baseline </term> on all three	#6745 Results indicate that the system yields higher performance than a baseline on all three aspects.
measure(ment),26-2-H05-1012,bq	unsupervised methods </term> yields superior <term>	performance	</term> . The <term> probabilistic model </term>	#7292 We demonstrate that it is feasible to create training material for problems in machine translation and that a mixture of supervised and unsupervised methods yields superiorperformance.
measure(ment),7-5-H05-1012,bq	is contrasted with <term> human annotation	performance	</term> . This paper presents a <term> phrase-based	#7335 Performance of the algorithm is contrasted with human annotation performance.
measure(ment),23-1-I05-2021,bq	directly on <term> word sense disambiguation	performance	</term> , using standard <term> WSD evaluation	#7812 We present the first known empirical test of an increasingly common speculative claim, by evaluating a representative Chinese-to-English SMT model directly on word sense disambiguation performance, using standard WSD evaluation methodology and datasets from the Senseval-3 Chinese lexical sample task.
	data </term> by showing that it improves the	performance	of a state-of-the-art <term> statistical	#9059 We evaluate the quality of the extracted data by showing that it improves the performance of a state-of-the-art statistical machine translation system.
measure(ment),6-4-E06-1035,bq	</term> . We then explore the impact on <term>	performance	</term> of using <term> ASR output </term> as	#10515 We then explore the impact onperformance of using ASR output as opposed to human transcription.
	discuss its application , and evaluate its	performance	. State-of-the-art <term> Question Answering	#10727 We describe a clustering algorithm which is sufficiently general to be applied to these diverse problems, discuss its application, and evaluate its performance.
	</term> and evaluating <term> QA system </term>	performance	on <term> paraphrased questions </term> . We	#10777 We investigate that claim by adopting a simple MT-based paraphrasing technique and evaluating QA systemperformance on paraphrased questions.
other,8-1-P06-1013,bq	an effective way of improving <term> system	performance	</term> . This paper examines the benefits	#10977 Combination methods are an effective way of improving system performance.
	but claims that direct imitation of human	performance	is not the best way to implement many of	#12596 This paper defends that view, but claims that direct imitation of human performance is not the best way to implement many of these non-literal aspects of communication; that the new technology of powerful personal computers with integral graphics displays offers techniques superior to those of humans for these aspects, while still satisfying human communication needs.
measure(ment),1-5-H90-1060,bq	Resource Management corpus </term> . This <term>	performance	</term> is comparable to our best condition	#17102 Thisperformance is comparable to our best condition for this test suite, using 109 training speakers.
	the required <term> world knowledge </term> ,	performance	degrades gracefully . Each of these techniques	#17523 For pragmatics processing, we describe how the method of abductive inference is inherently robust, in that an interpretation is always possible, so that in the absence of the required world knowledge, performance degrades gracefully.
measure(ment),37-2-C92-1055,bq	method </term> , fail to achieve high <term>	performance	</term> in real applications . The proposed	#17858 Owing to the problem of insufficient training data and approximation error introduced by the language model, traditional statistical approaches, which resolve ambiguities by indirectly and implicitly using maximum likelihood method, fail to achieve highperformance in real applications.
	<term> constraint </term> for improving the	performance	of the <term> word-sense disambiguation algorithm	#19303 This result can be used as an additional source of constraint for improving the performance of the word-sense disambiguation algorithm.
measure(ment),17-4-H92-1060,bq	mechanism </term> through a breakdown of the <term>	performance	</term> of robustly parsed vs. fully parsed	#19452 We have assessed the degree of success of the robust parsing mechanism through a breakdown of theperformance of robustly parsed vs. fully parsed sentences on the October '91 dry-run test set.


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