| measure(ment),5-1-N03-2006,ak | In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a <term> small-sized bilingual corpus </term> , we use an <term> out-of-domain bilingual corpus </term> and , in addition , the <term> language model </term> of an <term> in-domain monolingual corpus </term> . | #3085 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. | |
| tech,8-1-N03-2006,ak | In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a <term> small-sized bilingual corpus </term> , we use an <term> out-of-domain bilingual corpus </term> and , in addition , the <term> language model </term> of an <term> in-domain monolingual corpus </term> . | #3088 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. | |
| lr,12-1-N03-2006,ak | In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a <term> small-sized bilingual corpus </term> , we use an <term> out-of-domain bilingual corpus </term> and , in addition , the <term> language model </term> of an <term> in-domain monolingual corpus </term> . | #3092 In order to boost the translation quality of EBMT based on asmall-sized bilingual corpus, we use an out-of-domain bilingual corpus and, in addition, the language model of an in-domain monolingual corpus. | |
| lr,19-1-N03-2006,ak | In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a <term> small-sized bilingual corpus </term> , we use an <term> out-of-domain bilingual corpus </term> and , in addition , the <term> language model </term> of an <term> in-domain monolingual corpus </term> . | #3099 In order to boost the translation quality of EBMT based on a small-sized bilingual corpus, we use anout-of-domain bilingual corpus and, in addition, the language model of an in-domain monolingual corpus. | |
| model,28-1-N03-2006,ak | In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a <term> small-sized bilingual corpus </term> , we use an <term> out-of-domain bilingual corpus </term> and , in addition , the <term> language model </term> of an <term> in-domain monolingual corpus </term> . | #3108 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. | |
| lr,32-1-N03-2006,ak | In order to boost the <term> translation quality </term> of <term> EBMT </term> based on a <term> small-sized bilingual corpus </term> , we use an <term> out-of-domain bilingual corpus </term> and , in addition , the <term> language model </term> of an <term> in-domain 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 anin-domain monolingual corpus. | |
| tech,5-2-N03-2006,ak | We conducted experiments with an <term> EBMT system </term> . | #3121 We conducted experiments with anEBMT system. | |
| measure(ment),2-3-N03-2006,ak | The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an <term> out-of-domain bilingual corpus </term> and the possibility of using the <term> language model </term> . | #3126 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. | |
| measure(ment),6-3-N03-2006,ak | The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an <term> out-of-domain bilingual corpus </term> and the possibility of using the <term> language model </term> . | #3130 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. | |
| measure(ment),10-3-N03-2006,ak | The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an <term> out-of-domain bilingual corpus </term> and the possibility of using the <term> language model </term> . | #3134 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. | |
| lr,18-3-N03-2006,ak | The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an <term> out-of-domain 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 anout-of-domain bilingual corpus and the possibility of using the language model. | |
| model,27-3-N03-2006,ak | The two <term> evaluation measures </term> of the <term> BLEU score </term> and the <term> NIST score </term> demonstrated the effect of using an <term> out-of-domain bilingual corpus </term> and the possibility of using the <term> language model </term> . | #3151 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. |
