Corpus IST-Erasmus

Corpus IST-Erasmus is a comprehensive dataset collected for a doctoral dissertation by Önen (2014), focusing on spoken English as a Lingua Franca (ELF) interactions among Erasmus students studying in Istanbul. The dataset includes the full recordings of 54 naturally occurring speech events, comprising 29 interviews and 25 focus group meetings, totaling 10 hours and 47 minutes of interaction. In addition to the recordings, the dataset also contains raw transcriptions of these interactions, amounting to 93,913 words, as well as marked and coded transcriptions, following the VOICE convention for spoken ELF communication. The dataset represents interactions involving 79 participants from diverse linguistic and cultural backgrounds, with 24 different first languages (L1s). This rich dataset offers multiple layers of analysis and provides an invaluable resource for researchers exploring various dimensions of multilingual and multicultural communication, particularly in the context of ELF.