Research Article
Research on Uyghur-Chinese Neural Machine Translation Based on the Transformer at Multistrategy Segmentation Granularity
| Task | Model | Different granularity | BLEU % |
| Uyghur-Chinese | Self-attention-RNN | Syllable | 12.68 | Marked syllable | 47.98 | Words | 45.61 | Syllable word fusion | 51.74 | Transformer | Syllable | 14.7 | Marked syllable | 48.12 | Words | 46.09 | Syllable word fusion | 52.21 |
| Chinese-Uyghur | Self-attention-RNN | Syllable | 8.68 | Marked syllable | 61.96 | Words | 60.45 | Syllable word fusion | 63.41 | Transformer | Syllable | 11.19 | Marked syllable | 63.01 | Words | 62.81 | Syllable word fusion | 63.88 |
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