Abstract
The purpose of this research is to suggest the implications to ESP learners based on Corpus data by constructing the text and analyzing the Boeing’s Signature aircraft types which are B737 & B777. Linguistic corpus for ESP study has been frequently conducted since s it was often applied to English education. It is essential for ESP learners to list the high-frequency vocabulary as it will be an efficient approach to provide contents for ESP-related lectures. It has been analyzed by corpus program called AntConc 3.5.8. The whole number of word types from own text was 7249 with 318,324 token numbers for B737, while B777 showed 7279 word type with token number of 311,770. First, Top 25 high frequent vocabulary list was made according to the order of wordlist. Second, the list of lexical bundle was extracted with 2 and 3 words. Lastly, the concordance lists of vocabulary ‘risk’ and ‘safety’ were found. The results of this research developed some lists that could be used as an useful material for those who are majored in airline service at college in the ESP classes or who is under the training at Airlines industry. Meanwhile this study made a list of frequent vocabulary up based on a computerized data analysis program which is very reliable and useful.
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