Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
This paper proposes a new type of transfer system, called Similarity-driven Transfer System (or SimTran), which uses an example-based approach to the transfer phase of MT. In this paper, we describe a method for calculating similarity, a method for searching the most appropriate set of translation rules, and a method for constructing an output structure from those selected rules. Further, we show that SimTran can use not only translation examples but also syntax-based translation rules used in conventional transfer systems at the same time.
Erik Altman, Jovan Blanusa, et al.
NeurIPS 2023
Cristina Cornelio, Judy Goldsmith, et al.
JAIR
Ran Iwamoto, Kyoko Ohara
ICLC 2023
Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024