Bismarck Odoom — accepted AI-conference papers

2024

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

Nathaniel Robinson, Raj Dabre, Ammon Shurtz, Rasul Dent, Onenamiyi Onesi, Claire Monroc +11

NAACL 2024long

A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole languages, have long been marginalized in academic study, though their speakers could benefit from machine translation (M…

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2024

Where are you from? Geolocating Speech and Applications to Language Identification

Patrick Foley, Matthew Wiesner, Bismarck Odoom, Leibny Paola Garcia Perera, Kenton Murray, Philipp Koehn

NAACL 2024long

We train models to answer the question, Where are you from? and show how such models can be repurposed for language identification (LID). To our knowledge, this paper is the first to introduce data sources, methods and models to tackle the task of geolocation of speech at a global scale, and the fir…

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