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UniTE: Unified Translation Evaluation. (arXiv:2204.13346v1 [cs.CL])
April 29, 2022, 1:11 a.m. | Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao
cs.CL updates on arXiv.org arxiv.org
Translation quality evaluation plays a crucial role in machine translation.
According to the input format, it is mainly separated into three tasks, i.e.,
reference-only, source-only and source-reference-combined. Recent methods,
despite their promising results, are specifically designed and optimized on one
of them. This limits the convenience of these methods, and overlooks the
commonalities among tasks. In this paper, we propose UniTE, which is the first
unified framework engaged with abilities to handle all three evaluation tasks.
Concretely, we propose monotonic …
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