Funded by Institute for Advanced Teaching and LearningLink opens in a new windowLink opens in a new window, we are delighted to invite four experienced and renowned spoken data analysts to Warwick for four incredibly hands-on, thought-provoking, and practice-oriented spoken data sessions in June 2024. Each session has one mini-lecture about innovative spoken data analytic approaches and one hands-on roundtable discussion about actual spoken data from guests’ interactional research projects. Researchers working with spoken language data at all levels are welcome! Refreshments will be provided.

10am-1pm, 5 June, OC1.04Link opens in a new windowLink opens in a new window Oculus / Online

Mini-lecture

Establishing and Demonstrating Similarity Between Excerpts from Conversation

Analysts of conversation and other forms of discourse often present examples to illustrate the points they are trying to make. One challenge for researchers is demonstrating how those cases relate (a) to one another, and (b) to the larger sample. In this talk, I show how similarity and difference between cases in a sample can be established by using case selection via matching (CSvM). CSvMis applied to two conversational phenomena: ‘so’ separated off from preceding and following talk by silence (stand-alone ‘so’), and ‘oh’ produced with rising-falling pitch (rising-falling ‘oh’). The numerically-driven evidence provided by CSvM means that readers do not have to only take the researchers’ word as to those similarities and differences. Data are from recordings of American English telephone conversations.

Roundtable discussion

Excerpts from the Callhome corpus of American English telephone conversations between friends and family members

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