Research Article
Improving Loanword Identification in Low-Resource Language with Data Augmentation and Multiple Feature Fusion
Table 3
Evaluation of data augmentation methods.
| Donor | Metrics | B/F-LM | BF-MLE | Ours |
| Arabic | BLEU-4 | 0.15 | 0.15 | 0.21 | Self-BLEU | 64.32 | 64.58 | 63.46 | TER | 66.19 | 66.44 | 65.82 |
| Chinese | BLEU-4 | 0.16 | 0.17 | 0.23 | Self-BLEU | 64.05 | 64.30 | 63.78 | TER | 64.23 | 65.02 | 63.98 |
| Russian | BLEU-4 | 0.18 | 0.18 | 0.23 | Self-BLEU | 62.76 | 63.05 | 62.64 | TER | 63.69 | 63.92 | 63.45 |
| Turkish | BLEU-4 | 0.19 | 0.20 | 0.25 | Self-BLEU | 62.51 | 62.86 | 62.18 | TER | 62.46 | 63.14 | 62.04 |
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