Structured Translation and Analysis of Low-Resource Languages

Project overview: Of the many diverse world languages, very few are within reach of current natural language processing (NLP) and machine translation (MT) techniques. While mainstream approaches fail to generalize for most languages due to the lack of resources (e.g. text, annotations ...etc), our approach is designed to discover and leverage deep syntactic and semantic structures elicited from human experts.

Focus languages: Malagasy, Kinyarwanda, Swahili and Yoruba.