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The main purpose of this study is to suggest the implications for ESP learners based on Corpus by constructing the text and analyzing the airline’s English materials. Linguistic corpus for ESP study has been increasing a lot, as it was frequently applied to English education and related research. Checking the high- frequent vocabulary is a basic way to start airline English for those who want to be a flight attendant. So it could be an efficient approach to introduce contents for ESP-related discipline. Therefore, 6 different airline english books from native countries were used to make a list and extracted from corpus program called AntConc 3.5.8.version. The total number of word types from text was 222,899 while token numbers was shown 22,908. First of all, total number of 50 vocabulary list was produced according to the order of high frequency. Secondly, lexical bundle list was extracted either 3 or 4 words. Lastly, the concordance list of vocabulary ‘you’ and ‘have’ was checked. Through the results of this research, developed lists could be used as an useful tool for those who are studying in Aviation service major at college in the ESP classes or who is about to fly under the training at Airlines. This study has showed a practical way of ESP class by checking on high-frequency vocabulary from data used in real site which is Airlines.