Data Science and Natural Language Processing for Language Games and Tools

Department: 

Contact: 

Email: dubois@ucsb.edu

First Name: 

John

Last Name: 

DuBois

Content: 

Project Description

Data Science and Natural Language Processing for language games and tools

We are recruiting a team of students interested in Data Science, Natural Language Processing, and Computational Linguistics, as part of an open-source software project to create apps and games for language and linguistics.

Team members will collaborate in preparing datasets for spoken language corpus construction, linguistic analysis, and Natural Language Processing. Through this project, you will get hands-on experience working with a team that performs dataset preparation, corpus construction, software testing, and app development.

The app we are developing is Rezonator. Rezonator is designed for visualizing resonance and coherence in dialogue. (For more information, see our public-facing website at https://rezonator.com, or on GitHub at https://github.com/johnwdubois/rezonator.)

Undergraduate Contribution

We will teach you:
- how to prepare and manipulate spoken language datasets for corpus construction
- how to use Data Science and Natural Language Processing skills for research
- how to work as part of an app development team

Requirements and/or Application Instructions

Participants in this research should have:
- Interest in learning new skills for dataset preparation and app development
- Some previous programming experience is required (programming language is open)
Successful applicants will work under the supervision of Prof. John W. DuBois and doctoral student Giorgia Troiani. Students will receive 2 to 4 units of course credit in LING 199 (for 3rd - 4th-year students) or LING 99 (for 1st - 2nd-year students). For 2 units, Research Assistants must commit to work 6 hours per week (60 hours total) during the quarter. For 4 units, Research Assistants must commit to work 12 hours per week (120 hours total) during the quarter.
To apply, please send the following materials to Giorgia Troiani (gtroiani@ucsb.edu) by April 1, 2021:
- brief resume or CV with relevant experience and skills
- programming language and level of expertise
- unofficial transcripts
- a one-paragraph explanation of why you are interested in the position
Brief informal interviews with selected applicants will be conducted.

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