Jehanzeb Mirza, Leonid Karlinsky, 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.
Jehanzeb Mirza, Leonid Karlinsky, et al.
NeurIPS 2023
Giuseppe Romano, Aakrati Jain, et al.
ECTC 2025
Wooseok Choi, Tommaso Stecconi, et al.
Advanced Science
P.C. Yue, C.K. Wong
Journal of the ACM