2021 Three Minute Thesis
Presentation Type
Open Access Poster Presentation
View Presentation
Click image to view Jacob Rigal Presentation: Group 2, Heat 1 on November 12, 2021:
Keywords
English language--Study and teaching--Foreign speakers; English language--Spoken English;
Abstract
ESL students and all language learners need access to authentic language use. Unfortunately, teachers and textbook writers often just make up what how they think people talk. This research will collect speech as it used around campus in order to make examples of authentic academic spoken English easily accessible to students, teachers, and researchers. Eventually, this corpus will be part if a free, open source web application based on the data. My thesis will discuss the various ways people use English at UNI to do things such as agree, disagree, and ask for clarification. It will offer recommendations for further language learning technologies based on those discoveries and past research in the field of TESOL.
Start Date
12-11-2021 12:00 PM
End Date
12-11-2021 1:30 PM
Event Host
Graduate College, University of Northern Iowa
Faculty Advisor
Aliza Fones
Department
Department of Languages and Literatures
Copyright
©2021 Jacob Rigal
File Format
application/pdf
Recommended Citation
Rigal, Jacob, "UNICASE (University of Northern Iowa Corpus of Academic English)" (2021). Three Minute Thesis (3MT®) at UNI. 7.
https://scholarworks.uni.edu/tmt/2021/all/7
Additional Files
Jacob Riga_g2_h1l.mp4 (511445 kB)Video
Jacob Riga_g2_h1l.srt (3 kB)
Closed Captioning SRT File
Included in
UNICASE (University of Northern Iowa Corpus of Academic English)
ESL students and all language learners need access to authentic language use. Unfortunately, teachers and textbook writers often just make up what how they think people talk. This research will collect speech as it used around campus in order to make examples of authentic academic spoken English easily accessible to students, teachers, and researchers. Eventually, this corpus will be part if a free, open source web application based on the data. My thesis will discuss the various ways people use English at UNI to do things such as agree, disagree, and ask for clarification. It will offer recommendations for further language learning technologies based on those discoveries and past research in the field of TESOL.
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