The UCF Systems for the LoResMT 2021 Machine Translation Shared Task
Published in The 4th Workshop on Technologies for MT of Low Resource Languages, 2021
William Chen and Brett Fazio. (2021). "The UCF Systems for the LoResMT 2021 Machine Translation Shared Task." The 4th Workshop on Technologies for MT of Low Resource Languages.
Abstract: We present the University of Central Florida systems for the LoResMT 2021 Shared Task, participating in the English-Irish and English-Marathi translation pairs. We focused our efforts on constrained track of the task, using transfer learning and subword segmentation to enhance our models given small amounts of training data. Our models achieved the highest BLEU scores on the fully constrained tracks of English-Irish, Irish-English, and Marathi-English with scores of 13.5, 21.3, and 17.9 respectively.
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