It is vital to reflect enterprise’ figure by improving customer service. Therefore

an urging demand has been noticed to use intelligent customer service for telecommunication operators. To be specific

the intelligent customer service system is able to perceive and further deeply understand users by anlysising the conversation during customer service

leveraged by language intelligence processing techniques. As a result

the intelligent system can enhance the quality of self-owned bussiness and customer service

in the meanwhile

achieve to care for customers’ emotions immediately. This paper investigates how to leverage the technology of language intelligent processing for the telecommunication customer service

based on information extraction and knowledge resource construction in telecom domain

auto questionanswering with deep semantic analysis

and multilingual machine translation.