BPE and CharCNNs for Translation of Morphology: A Cross-Lingual Comparison and Analysis

5 Sep 2018 Pamela Shapiro Kevin Duh

Neural Machine Translation (NMT) in low-resource settings and of morphologically rich languages is made difficult in part by data sparsity of vocabulary words. Several methods have been used to help reduce this sparsity, notably Byte-Pair Encoding (BPE) and a character-based CNN layer (charCNN)... (read more)

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