An Evaluation of Neural Machine Translation Models on Historical Spelling Normalization

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Knowledge Triples

Source Entity	Relationship	Target Entity
Character Error Rate Metric	evaluates	Neural Machine Translation Method
Hybrid Method Method	improves	Historical Spelling Normalization Task
LSTM Method	usedFor	Historical Spelling Normalization Task
Neural Machine Translation Method	appliesTo	Historical Spelling Normalization Task
Subword Vocabulary Material	usedIn	Neural Machine Translation Method
Transformer Method	usedFor	Historical Spelling Normalization Task
Vanilla RNN Method	usedFor	Historical Spelling Normalization Task