2021 demos & discussions


The Demos & Discussion series, organized by CLT, showcases exciting innovations in language teaching and research and provides a convenient professional development opportunity for CALL faculty and graduate students.  D&D archives:  2020, 20192016

2021 Demos & Discussion series:

July 21, 2021
12:00p – 12:30p


VOT-CP: A Python program for automatic data codification and calculation of voice onset time

Presenter: Ernesto Gutiérrez Topete

Voice onset time (VOT) is an acoustic property of speech that is able to reveal a lot of information about a speaker’s linguistic experience(s). Analyzing VOT helps us in (a) developing linguistic theories of language representation and (b) assessing a language learner’s approximation to phonetic norms in the target language.

In this online presentation, Ernesto Gutiérrez Topete will present a computational tool (a Python program) that can be used to analyze a speaker’s VOT productions for the purposes of linguistic research or instructional student support. This presentation will cover installation and usage instructions and will provide a live demonstration of how to use the tool. There will be time for Q&A at the end of the presentation.

Video recording of presentation

The presentation is part of the Programming Essentials for Studies in Human Language & Technology series at the Center for Language & Technology.

The work described above was supported through a Summer internship sponsored by the Center for Language & Technology and the Language Flagship Technology Innovation Center at the University of Hawai’i at Mānoa.

April 1, 2021
12p – 1p


Automatic Text Summarization: Building Authentic Language Learning Materials with Python and NLP

Presenter: Richard Medina

Summarization refers to a Natural Language Processing (NLP) technique for automatically generating shorter length texts from longer documents. Once compiled, these summaries can be used as material in varying language learning pedagogies and in varying learning tasks. In this demonstration and discussion we will introduce the major components of automatic text summarization and its utility for building language material from authentic sources (E.g., newspaper articles, literature). In addition to providing this background, we will also demonstrate application of this technique using Python and related NLP libraries. This talk is geared towards a non-technical but extremely curious audience.

Part of the Programming Essentials for Studies in Human Language & Technology series.

Questions? Please contact cltmanoa@hawaii.edu