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Dario Stojanovski

2 accepted papers

2021

Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation

NAACL 2021long

Successful methods for unsupervised neural machine translation (UNMT) employ cross-lingual pretraining via self-supervision, often in the form of a masked language modeling or a sequence generation task, which requires the model to align the lexical- and high-level representations of the two languag…

2020

ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation

COLING 2020main

Recent high scores on pronoun translation using context-aware neural machine translation have suggested that current approaches work well. ContraPro is a notable example of a contrastive challenge set for English→German pronoun translation. The high scores achieved by transformer models may suggest…