Shester Gueuwou

I am a Visiting Student Researcher at Toyota Technological Insitite at Chicago(TTIC), where I am extremely fortunate to be advised by Professor Karen Livescu and Professor Greg Shakhnarovich.

I spent the last summer doing research at The Johns Hopkins University as part of JSALT 2024.

Before TTIC, I was advised by Dr. Mathias Müller at Masakhane. I completed my Bachelors in Computer Science with First Class Honors at Kwame Nkrumah University of Science and Technology in Ghana, where I was supported by the Mastercard Foundation Scholars Program, and was advised by Dr. Kate Takyi and Dr. (Mrs.) Rose-Mary Owusuaa Mensah Gyening.

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Research

In a nutshell, I am interested in what language truly means beyond the speech and text modalities. To have a grasp of this, I am keen on how to make computers understand the whole visual languages spectrum which can be reflected by the Kendon's Continuum. As a case example, I have been working on Automatic Signed Languages Processing, with interest on anything rotating around that as Multi(and Cross)modality, (Low Resource) Machine Translation and Efficient methods for Long/Dense Videos Understanding.

SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale
Shester Gueuwou, Xiaodan Du, Greg Shakhnarovich, Karen Livescu
JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing
Shester Gueuwou, Sophie Siake, Colin Leong, Mathias Müller
Findings of EMNLP, 2023
Machine Translation for African Sign Languages.
Shester Gueuwou, Kate Takyi, Mathias Müller, Marco Stanley Nyarko, Richard Adade, Rose-Mary Owusuaa Mensah Gyening
Forth Africa Natural Language Processing Workshop @ ICLR, 2023 (Best Paper Award)
Generative Adversarial Networks based on optimal transport: a survey
Bernard Kamsu-Foguem, Shester Gueuwou, Cheick Abdoul Kadir A. Kounta
Artificial Intelligence Review Journal, 2022
Stance Prediction and Analysis of Twitter data: A case study of Ghana 2020 Presidential Elections
Shester Gueuwou, Rose-Mary Owusuaa Mensah Gyening
Mini-Project, 2021

Talks

University of Chicago, NLP Seminar, October 2023
Lanfrica Talks, June 2023
Spotlight Talk / Orals, AfricaNLP Workshop, May 2023

Others

Co-organizer, Deep Learning Indaba 2023 NLP Workshop
Ideathon Winner, Deep Learning Indaba 2022
Resolution Fellow
Baobab Platform Ambassador
University of Edinburgh Transformative Leadership Summer School Alumni

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