Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.

October 2020: Talk at Berkeley

On October 28, I presented an invited talk at Berkeley Linguistics’ Fieldwork Forum. The talk was titled “Fieldwork on Language in Social Interaction.”

The abstract:

This talk discusses how fieldworkers can collect data about language use in conversation and other forms of informal social interaction. First, I motivate the discussion by showing how data from conversation can be transformative for both linguistic analysis and language reclamation. Second, I consider some of the challenges — technical, institutional, and (inter)personal — which can prevent fieldworkers from collecting this form of data. Last, I present strategies for troubleshooting these challenges, including a workflow for collecting and processing high-quality conversational data using common documentation tools. I illustrate the talk with successes and failures from my own fieldwork with speakers of Ticuna, an Indigenous Amazonian language.

Download slides from the talk.

Leave a reply

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>

css.php

Report this page

To report inappropriate content on this page, please use the form below. Upon receiving your report, we will be in touch as per the Take Down Policy of the service.

Please note that personal data collected through this form is used and stored for the purposes of processing this report and communication with you.

If you are unable to report a concern about content via this form please contact the Service Owner.

Please enter an email address you wish to be contacted on. Please describe the unacceptable content in sufficient detail to allow us to locate it, and why you consider it to be unacceptable.
By submitting this report, you accept that it is accurate and that fraudulent or nuisance complaints may result in action by the University.

  Cancel