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Monolingual and Cross-lingual Zero-shot Style Transfer
[article]
2018
arXiv
pre-print
We introduce the task of zero-shot style transfer between different languages. Our training data includes multilingual parallel corpora, but does not contain any parallel sentences between styles, similarly to the recent previous work. We propose a unified multilingual multi-style machine translation system design, that allows to perform zero-shot style conversions during inference; moreover, it does so both monolingually and cross-lingually. Our model allows to increase the presence of
arXiv:1808.00179v1
fatcat:lrn2iovlarb4vn6edvja4kmzve