Papers with grapheme-to-phoneme mapping
Few-Shot and Zero-Shot Learning for Historical Text Normalization (D19-61)
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| Challenge: | Historical text normalization often relies on small training datasets. |
| Approach: | They evaluate 63 multi-task learning configurations for sequence-to-sequence-based historical text normalization across ten datasets from eight languages. |
| Outcome: | The proposed learning architecture outperforms the simple, but strong identity baseline. |