7214
We propose a Bayesian semi-supervised Chinese word segmentation model which uses both monolingual and bilingual information to derive a segmentation suitable for MT .
 used for: Bayesian semi-supervised Chinese word segmentation model, segmentation; used for: monolingual and bilingual information, Bayesian semi-supervised Chinese word segmentation model; used for: segmentation, MT
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:  Bayesian semi-supervised Chinese word segmentation model, segmentation; monolingual and bilingual information, Bayesian semi-supervised Chinese word segmentation model; segmentation, MT 
Answer:
 used for: Bayesian semi-supervised Chinese word segmentation model, segmentation; used for: monolingual and bilingual information, Bayesian semi-supervised Chinese word segmentation model; used for: segmentation, MT