Concordance

Query N03-2006 12 >
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lr,13-1-N03-2006,bq	In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a small-sized <term> bilingual corpus </term> , we use an out-of-domain <term> bilingual corpus </term> and , in addition , the <term> language model </term> of an in-domain <term> monolingual corpus </term> .	#3092 In order to boost the translation quality of EBMT based on a small-sizedbilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an in-domain monolingual corpus.
tech,5-2-N03-2006,bq	We conducted experiments with an <term> EBMT system </term> .	#3120 We conducted experiments with anEBMT system.
lr,33-1-N03-2006,bq	In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a small-sized <term> bilingual corpus </term> , we use an out-of-domain <term> bilingual corpus </term> and , in addition , the <term> language model </term> of an in-domain <term> monolingual corpus </term> .	#3112 In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an in-domainmonolingual corpus.
model,27-3-N03-2006,bq	The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an out-of-domain <term> bilingual corpus </term> and the possibility of using the <term> language model </term> .	#3150 The two evaluation measures of the BLEU score and the NIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibility of using thelanguage model.
lr,20-1-N03-2006,bq	In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a small-sized <term> bilingual corpus </term> , we use an out-of-domain <term> bilingual corpus </term> and , in addition , the <term> language model </term> of an in-domain <term> monolingual corpus </term> .	#3099 In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domainbilingual corpus and, in addition, the language model of an in-domain monolingual corpus.
measure(ment),6-3-N03-2006,bq	The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an out-of-domain <term> bilingual corpus </term> and the possibility of using the <term> language model </term> .	#3129 The two evaluation measures of theBLEU score and the NIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibility of using the language model.
lr,19-3-N03-2006,bq	The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an out-of-domain <term> bilingual corpus </term> and the possibility of using the <term> language model </term> .	#3142 The two evaluation measures of the BLEU score and the NIST score demonstrated the effect of using an out-of-domainbilingual corpus and the possibility of using the language model.
tech,8-1-N03-2006,bq	In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a small-sized <term> bilingual corpus </term> , we use an out-of-domain <term> bilingual corpus </term> and , in addition , the <term> language model </term> of an in-domain <term> monolingual corpus </term> .	#3087 In order to boost the translation quality ofEBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an in-domain monolingual corpus.
measure(ment),10-3-N03-2006,bq	The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an out-of-domain <term> bilingual corpus </term> and the possibility of using the <term> language model </term> .	#3133 The two evaluation measures of the BLEU score and theNIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibility of using the language model.
model,28-1-N03-2006,bq	In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a small-sized <term> bilingual corpus </term> , we use an out-of-domain <term> bilingual corpus </term> and , in addition , the <term> language model </term> of an in-domain <term> monolingual corpus </term> .	#3107 In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, thelanguage model of an in-domain monolingual corpus.
other,5-1-N03-2006,bq	In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a small-sized <term> bilingual corpus </term> , we use an out-of-domain <term> bilingual corpus </term> and , in addition , the <term> language model </term> of an in-domain <term> monolingual corpus </term> .	#3084 In order to boost thetranslation quality of EBMT based on a small-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an in-domain monolingual corpus.
measure(ment),2-3-N03-2006,bq	The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an out-of-domain <term> bilingual corpus </term> and the possibility of using the <term> language model </term> .	#3125 The twoevaluation measures of the BLEU score and the NIST score demonstrated the effect of using an out-of-domain bilingual corpus and the possibility of using the language model.


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