Lars Graf, Thomas Bohnstingl, et al.
NeurIPS 2025
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.
Lars Graf, Thomas Bohnstingl, et al.
NeurIPS 2025
Victor Akinwande, Megan Macgregor, et al.
IJCAI 2024
Ira Pohl
Artificial Intelligence
Bemali Wickramanayake, Zhipeng He, et al.
Knowledge-Based Systems