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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-domain monolingual corpus .
 used for: small-sized bilingual corpus, EBMT; used for: out-of-domain bilingual corpus, EBMT; used for: language model, EBMT; used for: in-domain monolingual corpus, language model
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  small-sized bilingual corpus, EBMT; out-of-domain bilingual corpus, EBMT; language model, EBMT; in-domain monolingual corpus, language model 
Answer:
 used for: small-sized bilingual corpus, EBMT; used for: out-of-domain bilingual corpus, EBMT; used for: language model, EBMT; used for: in-domain monolingual corpus, language model