Papers with generative normalization model
Semi-supervised Contextual Historical Text Normalization (2020.acl-main)
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| Challenge: | Historical text normalization is the task of mapping historical word forms to their modern counterparts. |
| Approach: | They propose to use a generative normalization model to obtain contextualization from the target-side language model. |
| Outcome: | et al., 2018) show that the most effective approach reduces manual normalization time and manual training costs. |