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Few Shot and Zero Shot Learning for Historical Text Normalization

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Figure

Table 1: Historical datasets used in our experimentsand the size of their development sets
Figure 1: Normalization accuracy on the English-1kdataset, trained jointly with all three auxiliary tasks;letters indicate which model components (cf
Figure 3: Error reduction for the SEADP configurationby auxiliary task, using 1,000 tokens from the historicaldatasets for training.
Figure 4: Learning curves for all datasets, showing the normalization accuracy of a single-task and three multi-tasklearning models in relation to the training set size; note that the x-axis is log-scaled.
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