Takuma Udagawa, Aashka Trivedi, et al.
EMNLP 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.
Takuma Udagawa, Aashka Trivedi, et al.
EMNLP 2023
Jennifer D'souza, Nandana Mihindukulasooriya
KGC 2024
Gang Liu, Michael Sun, et al.
ICLR 2025
Imran Nasim, Melanie Weber
SCML 2024