Across SMT and NMT models for 11 Indian languages, SentencePiece gives the highest BLEU for most language pairs, while BPE wins in the multilingual model.
chrF: character n -gram F-score for automatic MT evaluation
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Comparative analysis of subword tokenization approaches for Indian languages
Across SMT and NMT models for 11 Indian languages, SentencePiece gives the highest BLEU for most language pairs, while BPE wins in the multilingual model.