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On the Importance of Word Boundaries in Character level Neural Machine Translation

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Figure

Figure 1: (a) Hierarchical NMT decoder: input words are encoded as character sequences and the translation ispredicted at the level of words
Table 1: Results of the evaluation of models in translating languages with different morphological typology usingthe IWSLT data sets
Table 2: Results of the evaluation of models in capturing morphological variations in the output using the Morphe-val English-German test set
Table 4: Example translations with different approaches in Turkish

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