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.
An awkward disparity between BLEU/RIBES scores and human judgements in machine translation
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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.