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Using a state-of-the-art Chinese word sense disambiguation model to choose translation candidates for a typical IBM statistical MT system , we find that word sense disambiguation does not yield significantly better translation quality than the statistical machine translation system alone .
 used for: Chinese word sense disambiguation model, translation candidates; used for: translation candidates, IBM statistical MT system; compare: word sense disambiguation, statistical machine translation system; evaluate for: translation quality, word sense disambiguation; evaluate for: translation quality, statistical machine translation system
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:  Chinese word sense disambiguation model, translation candidates; translation candidates, IBM statistical MT system; word sense disambiguation, statistical machine translation system; translation quality, word sense disambiguation; translation quality, statistical machine translation system 
Answer:
 used for: Chinese word sense disambiguation model, translation candidates; used for: translation candidates, IBM statistical MT system; compare: word sense disambiguation, statistical machine translation system; evaluate for: translation quality, word sense disambiguation; evaluate for: translation quality, statistical machine translation system