Concordance

Query E06-1031 19 >
Random sample 19 (885.8 per million)

measure(ment),2-1-E06-1031,bq	context </term> . Most state-of-the-art <term>	evaluation measures	</term> for <term> machine translation </term>	#10325 Most state-of-the-artevaluation measures for machine translation assign high costs to movements of word blocks.
tech,5-1-E06-1031,bq	<term> evaluation measures </term> for <term>	machine translation	</term> assign high <term> costs </term> to movements	#10328 Most state-of-the-art evaluation measures formachine translation assign high costs to movements of word blocks.
other,9-1-E06-1031,bq	machine translation </term> assign high <term>	costs	</term> to movements of <term> word </term> blocks	#10332 Most state-of-the-art evaluation measures for machine translation assign highcosts to movements of word blocks.
other,13-1-E06-1031,bq	high <term> costs </term> to movements of <term>	word	</term> blocks . In many cases though such	#10336 Most state-of-the-art evaluation measures for machine translation assign high costs to movements ofword blocks.
other,13-2-E06-1031,bq	result in correct or almost correct <term>	sentences	</term> . In this paper , we will present	#10352 In many cases though such movements still result in correct or almost correctsentences.
measure(ment),9-3-E06-1031,bq	this paper , we will present a new <term>	evaluation measure	</term> which explicitly models <term> block	#10363 In this paper, we will present a newevaluation measure which explicitly models block reordering as an edit operation.
tech,14-3-E06-1031,bq	measure </term> which explicitly models <term>	block reordering	</term> as an <term> edit operation </term> .	#10368 In this paper, we will present a new evaluation measure which explicitly modelsblock reordering as an edit operation.
tech,18-3-E06-1031,bq	<term> block reordering </term> as an <term>	edit operation	</term> . Our <term> measure </term> can be exactly	#10372 In this paper, we will present a new evaluation measure which explicitly models block reordering as anedit operation.
measure(ment),1-4-E06-1031,bq	an <term> edit operation </term> . Our <term>	measure	</term> can be exactly calculated in <term>	#10376 Ourmeasure can be exactly calculated in quadratic time.
other,7-4-E06-1031,bq	</term> can be exactly calculated in <term>	quadratic time	</term> . Furthermore , we will show how	#10382 Our measure can be exactly calculated inquadratic time.
measure(ment),7-5-E06-1031,bq	Furthermore , we will show how some <term>	evaluation measures	</term> can be improved by the introduction	#10392 Furthermore, we will show how someevaluation measures can be improved by the introduction of word-dependent substitution costs.
other,16-5-E06-1031,bq	be improved by the introduction of <term>	word-dependent substitution costs	</term> . The correlation of the new <term>	#10401 Furthermore, we will show how some evaluation measures can be improved by the introduction ofword-dependent substitution costs.
measure(ment),5-6-E06-1031,bq	</term> . The correlation of the new <term>	measure	</term> with <term> human judgment </term> has	#10410 The correlation of the newmeasure with human judgment has been investigated systematically on two different language pairs.
other,7-6-E06-1031,bq	of the new <term> measure </term> with <term>	human judgment	</term> has been investigated systematically	#10412 The correlation of the new measure withhuman judgment has been investigated systematically on two different language pairs.
other,16-6-E06-1031,bq	investigated systematically on two different <term>	language pairs	</term> . The experimental results will show	#10421 The correlation of the new measure with human judgment has been investigated systematically on two differentlanguage pairs.
other,12-7-E06-1031,bq	outperforms state-of-the-art approaches in <term>	sentence-level correlation	</term> . Results from experiments with <term>	#10436 The experimental results will show that it significantly outperforms state-of-the-art approaches insentence-level correlation.
other,4-8-E06-1031,bq	</term> . Results from experiments with <term>	word dependent substitution costs	</term> will demonstrate an additional increase	#10443 Results from experiments withword dependent substitution costs will demonstrate an additional increase of correlation between automatic evaluation measures and human judgment.
measure(ment),16-8-E06-1031,bq	additional increase of correlation between <term>	automatic evaluation measures	</term> and <term> human judgment </term> . In	#10455 Results from experiments with word dependent substitution costs will demonstrate an additional increase of correlation betweenautomatic evaluation measures and human judgment.
other,20-8-E06-1031,bq	automatic evaluation measures </term> and <term>	human judgment	</term> . In this paper , we investigate	#10459 Results from experiments with word dependent substitution costs will demonstrate an additional increase of correlation between automatic evaluation measures andhuman judgment.


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