Summary
Amir Hazem is a postdoctoral researcher in NLP with eight years of experience focused on terminology, machine translation and representation learning, currently based at the University of Tokyo. Trained with a PhD from Université de Nantes and a decade of research at LS2N, he has worked across multilingual terminology extraction, synonym acquisition and segmentation of ancient devotional texts, blending computational methods with humanities datasets. His recent work bridges innovation modeling for Large Language Models and practical MT systems, informed by a 2022 JSPS fellowship and multiple postdoc positions in Japan and France. Known for tackling domain-specific terminology challenges, he combines deep academic rigor with hands-on experimentation to push translation quality in low-resource and specialized contexts.
9 years of coding experience
2 years of employment as a software developer
Doctorat en Informatique, Natural language processing, Doctorat en Informatique, Natural language processing at Université de Nantes
collège
English, Japanese, French, Arabic