The subfield of corpus-based interpreting studies (CIS), with its considerable potential and practical applications in teaching and research, has made good advancements over the past decades. Still, further development of this subdiscipline is faced with challenges and obstacles inherited from the activity of interpreting per se. How will CIS move forward, building on the ground-breaking work of pioneers of this “(wired) cottage industry”, in this era of artificial intelligence and big data? In this talk, I will introduce the construction and possible applications of the Chinese/English Political Interpreting Corpus (CEPIC), an open-access mega corpus consisting of over six million word tokens. Studies based on the CEPIC data will be discussed to illustrate the benefits of tapping into interdisciplinary perspectives of digital humanities and data science. Through these examples, I hope to show possible ways to build synergies with other disciplines that can help to further advance CIS.
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