| other,5-1-N03-2006,bq | N-grams </term> . In order to boost the <term> | translation quality | </term> of <term> EBMT </term> based on a small-sized | #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. |
| tech,8-1-N03-2006,bq | <term> translation quality </term> of <term> | EBMT | </term> based on a small-sized <term> bilingual | #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. |
| lr,13-1-N03-2006,bq | <term> EBMT </term> based on a small-sized <term> | bilingual corpus | </term> , we use an out-of-domain <term> bilingual | #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. |
| lr,20-1-N03-2006,bq | corpus </term> , we use an out-of-domain <term> | bilingual corpus | </term> and , in addition , the <term> language | #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. |
| model,28-1-N03-2006,bq | corpus </term> and , in addition , the <term> | language model | </term> of an in-domain <term> monolingual | #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. |
| lr,33-1-N03-2006,bq | language model </term> of an in-domain <term> | monolingual corpus | </term> . We conducted experiments with an | #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. |
| tech,5-2-N03-2006,bq | . We conducted experiments with an <term> | EBMT system | </term> . The two <term> evaluation measures | #3120 We conducted experiments with anEBMT system. |
| measure(ment),2-3-N03-2006,bq | an <term> EBMT system </term> . The two <term> | evaluation measures | </term> of the <term> BLEU score </term> and | #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. |
| measure(ment),6-3-N03-2006,bq | <term> evaluation measures </term> of the <term> | BLEU score | </term> and the <term> NIST score </term> demonstrated | #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. |
| measure(ment),10-3-N03-2006,bq | the <term> BLEU score </term> and the <term> | NIST score | </term> demonstrated the effect of using | #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. |
| lr,19-3-N03-2006,bq | the effect of using an out-of-domain <term> | bilingual corpus | </term> and the possibility of using the <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. |
| model,27-3-N03-2006,bq | </term> and the possibility of using the <term> | language model | </term> . We describe a simple <term> unsupervised | #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. |
