XML and CSS. - Stuart Culshaw; Michael Leventhal; Murray Maloney (World Wide Web J., 1997)

XML: Can the Desperate Perl Hacker Do It? - Michael Leventhal (World Wide Web J., 1997)

XML cyborgs: accelerating web services with XML hardware. - Michael Leventhal (Extreme Markup Languages®, 2003)

An Efficient and Scalable Semiconductor Architecture for Parallel Automata Processing. - Paul Dlugosch; Dave Brown; Paul Glendenning; Michael Leventhal; Harold Noyes (IEEE Trans. Parallel Distributed Syst., 2014)

Health Care Misinformation: an Artificial Intelligence Challenge for Low-resource languages. - Sarah Luger; Martina Anto-Ocrah; Allahsera Tapo; Christopher Homan; Marcos Zampieri; Michael Leventhal (AI4SG@AAAI Fall Symposium, 2020)

Assessing Human Translations from French to Bambara for Machine Learning: a Pilot Study. - Michael Leventhal; Allahsera Tapo; Sarah Luger; Marcos Zampieri; Christopher M. Homan (AfricaNLP, 2020)

Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara. - Allahsera Auguste Tapo; Bakary Coulibaly; Sébastien Diarra; Christopher Homan; Julia Kreutzer; Sarah Luger; Arthur Nagashima; Marcos Zampieri; Michael Leventhal (CoRR, 2020)

Domain-specific MT for Low-resource Languages: The case of Bambara-French. - Allahsera Auguste Tapo; Michael Leventhal; Sarah Luger; Christopher M. Homan; Marcos Zampieri (AfricaNLP, 2021)

GAIfE: Using GenAI to Improve Literacy in Low-resourced Settings. - Allahsera Auguste Tapo; Nouhoum Souleymane Coulibaly; Seydou Diallo; Sébastien Diarra; Christopher M. Homan; Mamadou K. Keita; Michael Leventhal (NAACL (Findings), 2025)

The Serendipity of Claude AI: Case of the 13 Low-Resource National Languages of Mali. - Alou Dembele; Nouhoum Souleymane Coulibaly; Michael Leventhal (CoRR, 2025)