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Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT
Tamali Banerjee, Rudra Murthy, Pushpak Bhattacharyya
We aim to investigate whether UNMT approaches with self-supervised pre-training are robust to word-order divergence between language pairs. We achieve this by comparing two models…
Crosslingual Embeddings are Essential in UNMT for Distant Languages: An English to IndoAryan Case Study
Tamali Banerjee, Rudra Murthy, Pushpak Bhattacharyya
Recent advances in Unsupervised Neural Machine Translation (UNMT) have minimized the gap between supervised and unsupervised machine translation performance for closely related lan…
Scrambled Translation Problem: A Problem of Denoising UNMT
Tamali Banerjee, Rudra Murthy, Pushpak Bhattacharyya
In this paper, we identify an interesting kind of error in the output of Unsupervised Neural Machine Translation (UNMT) systems like \textit{Undreamt}(footnote). We refer to this e…