Machine Translation of Low-Resource Spoken Dialects: Strategies for Normalizing Swiss German (L18-1)
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| Challenge: | Using character-based neural MT, we normalize Swiss German input to address regional diversity. |
| Approach: | They propose to use character-based neural MT to normalize Swiss German input and phrase-based statistical MT for a low-resource family of dialects. |
| Outcome: | The proposed system achieves 36% BLEU score when translating from the Bernese dialect. |
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