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.
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SignMusketeers: An Efficient Multi-Stream Approach for Sign Language Translation at Scale
Shester Gueuwou,
Xiaodan Du,
Greg Shakhnarovich,
Karen Livescu
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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
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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)
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Generative Adversarial Networks based on optimal transport: a survey
Bernard Kamsu-Foguem,
Shester Gueuwou,
Cheick Abdoul Kadir A. Kounta
Artificial Intelligence Review Journal, 2022
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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
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Website template from here.
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