The translation of intangible cultural heritage (ICH) texts presents significant challenges due to their rich cultural connotations and unique regional characteristics. To address this, the author of this study utilized Corpus and Computer-assisted Translation (CCAT) to assist in the English translation of ICH during the creation of a parallel corpus. Three patterns of CCAT-based English translation of ICH were proposed: machine translation, human-machine interactive translation (combining human and machine translation), and human translation. The implementation of these patterns can improve the efficiency and quality of ICH translation, promote terminology standardization, and facilitate the exportation and transmission of ICH.