Year: 2019
Type: preprint
Abstract: We introduce the metric using BERT (Bidirectional Encoder Representations from Transformers) (Devlin et al., 2019) for automatic machine translation evaluation. The experimental results of the WMT-2017 Metrics Shared Task dataset show that our metric achieves state-of-the-art performance in segment-level metrics task for all to-English language pairs.
Source: arXiv (Cornell University)
Institutions: Tokyo Metropolitan University, The University of Osaka
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Award: G3913888520
OpenAlex ID: W2966292672