UvA-MT's Participation in the WMT23 General Translation Shared Task

• URL: http://arxiv.org/abs/2310.09946v1
• Date: Sun, 15 Oct 2023 20:49:31 GMT
• Title: UvA-MT's Participation in the WMT23 General Translation Shared Task
• Authors: Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz
• Abstract summary: This paper describes the UvA-MT's submission to the WMT 2023 shared task on general machine translation. We show that by using one model to handle bidirectional tasks, it is possible to achieve comparable results with that of traditional bilingual translation for both directions.
• Score: 7.4336950563281174
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper describes the UvA-MT's submission to the WMT 2023 shared task on general machine translation. We participate in the constrained track in two directions: English <-> Hebrew. In this competition, we show that by using one model to handle bidirectional tasks, as a minimal setting of Multilingual Machine Translation (MMT), it is possible to achieve comparable results with that of traditional bilingual translation for both directions. By including effective strategies, like back-translation, re-parameterized embedding table, and task-oriented fine-tuning, we obtained competitive final results in the automatic evaluation for both English -> Hebrew and Hebrew -> English directions.

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