A conditional unigram tokenizer trained on parallel data does not improve machine translation but consistently lowers language-model perplexity per byte.
Bilingual subword segmentation for neural machine translation
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Conditional Unigram Tokenization with Parallel Data
A conditional unigram tokenizer trained on parallel data does not improve machine translation but consistently lowers language-model perplexity per byte.