Concordance

Query I05-5008 21 >
Shuffle 21 (979.1 per million)

measure(ment),20-1-I05-5008,bq	<term> reference sets </term> in objective <term>	machine translation evaluation measures	</term> like <term> BLEU </term> and <term> NIST	#8461 We propose a method that automatically generates paraphrase sets from seed sentences to be used as reference sets in objectivemachine translation evaluation measures like BLEU and NIST.
measure(ment),31-2-I05-5008,bq	<term> sentences </term> ; ( ii ) their <term>	equivalence in meaning	</term> : at least 96 % correct <term> paraphrases	#8501 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) theirequivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
other,40-2-I05-5008,bq	meaning </term> : at least 96 % correct <term>	paraphrases	</term> either by <term> meaning equivalence	#8510 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correctparaphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
other,65-2-I05-5008,bq	syntactical variation </term> in a set of <term>	paraphrases	</term> : slightly superior to that of <term>	#8535 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set ofparaphrases: slightly superior to that of hand-produced sets.
other,57-2-I05-5008,bq	and , ( iii ) the amount of internal <term>	lexical and syntactical variation	</term> in a set of <term> paraphrases </term>	#8527 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internallexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
lr,72-2-I05-5008,bq	</term> : slightly superior to that of <term>	hand-produced sets	</term> . The <term> paraphrase </term> sets	#8542 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that ofhand-produced sets.
other,1-3-I05-5008,bq	<term> hand-produced sets </term> . The <term>	paraphrase	</term> sets produced by this <term> method	#8546 Theparaphrase sets produced by this method thus seem adequate as reference sets to be used for MT evaluation.
other,7-1-I05-5008,bq	</term> that automatically generates <term>	paraphrase	</term> sets from <term> seed sentences </term>	#8448 We propose a method that automatically generatesparaphrase sets from seed sentences to be used as reference sets in objective machine translation evaluation measures like BLEU and NIST.
measure(ment),27-1-I05-5008,bq	measures </term> like <term> BLEU </term> and <term>	NIST	</term> . We measured the quality of the <term>	#8468 We propose a method that automatically generates paraphrase sets from seed sentences to be used as reference sets in objective machine translation evaluation measures like BLEU andNIST.
other,25-2-I05-5008,bq	grammaticality </term> : at least 99 % correct <term>	sentences	</term> ; ( ii ) their <term> equivalence in	#8495 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correctsentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
lr,16-1-I05-5008,bq	seed sentences </term> to be used as <term>	reference sets	</term> in objective <term> machine translation	#8457 We propose a method that automatically generates paraphrase sets from seed sentences to be used asreference sets in objective machine translation evaluation measures like BLEU and NIST.
other,6-2-I05-5008,bq	</term> . We measured the quality of the <term>	paraphrases	</term> produced in an experiment , i.e.	#8476 We measured the quality of theparaphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
lr,11-3-I05-5008,bq	method </term> thus seem adequate as <term>	reference sets	</term> to be used for <term> MT evaluation	#8556 The paraphrase sets produced by this method thus seem adequate asreference sets to be used for MT evaluation.
other,10-1-I05-5008,bq	generates <term> paraphrase </term> sets from <term>	seed sentences	</term> to be used as <term> reference sets	#8451 We propose a method that automatically generates paraphrase sets fromseed sentences to be used as reference sets in objective machine translation evaluation measures like BLEU and NIST.
tech,3-1-I05-5008,bq	in the experiments . We propose a <term>	method	</term> that automatically generates <term>	#8444 We propose amethod that automatically generates paraphrase sets from seed sentences to be used as reference sets in objective machine translation evaluation measures like BLEU and NIST.
other,43-2-I05-5008,bq	correct <term> paraphrases </term> either by <term>	meaning equivalence	</term> or <term> entailment </term> ; and ,	#8513 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either bymeaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
measure(ment),17-3-I05-5008,bq	reference sets </term> to be used for <term>	MT evaluation	</term> . This paper proposes an <term> annotating	#8562 The paraphrase sets produced by this method thus seem adequate as reference sets to be used forMT evaluation.
tech,6-3-I05-5008,bq	paraphrase </term> sets produced by this <term>	method	</term> thus seem adequate as <term> reference	#8551 The paraphrase sets produced by thismethod thus seem adequate as reference sets to be used for MT evaluation.
other,46-2-I05-5008,bq	<term> meaning equivalence </term> or <term>	entailment	</term> ; and , ( iii ) the amount of internal	#8516 We measured the quality of the paraphrases produced in an experiment, i.e., (i) their grammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence orentailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.
measure(ment),18-2-I05-5008,bq	an experiment , i.e. , ( i ) their <term>	grammaticality	</term> : at least 99 % correct <term> sentences	#8488 We measured the quality of the paraphrases produced in an experiment, i.e., (i) theirgrammaticality: at least 99% correct sentences; (ii) their equivalence in meaning: at least 96% correct paraphrases either by meaning equivalence or entailment; and, (iii) the amount of internal lexical and syntactical variation in a set of paraphrases: slightly superior to that of hand-produced sets.


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