AVENUE
The AVENUE project (funded by NSF/ITR) is concerned with the design and rapid development of new Machine Translation methods for languages for which only scarce resources are available.
AVENUE has both social and scientific goals in Machine Translation. The scientific goal of AVENUE is to explore methods to reduce the development time and cost of MT, thereby making it available to more people. The social goal is to contribute to a growing trend to reinstate indigenous languages in official uses outside of the home, and to prevent the disenfranchisement of speakers of indigenous languages.
We are actively working on an MT system between Spanish and Mapudungun, a native language spoken in southern Chile, and have started working on Quechua, a native language spoken mainly in Peru, Ecuador and Bolivia. Members:
Jaime Carbonell (PI),
Lori Levin (co-PI),
Alon Lavie (co-PI),
Ralf Brown,
Rodolfo Vega,
Kathrin Probst,
Ariadna Font Llitjos,
Erik Peterson,
Christian Monson,
Alison Alvarez.
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