20 citations · 28 across the 4 of their papers we have counts for
9 papers
Cross-lingual Similarity of Multilingual Representations Revisited
Maksym Del, Mark Fishel
Related works used indexes like CKA and variants of CCA to measure the similarity of cross-lingual representations in multilingual language models. In this paper, we argue that ass…
Translation Transformers Rediscover Inherent Data Domains
Maksym Del, Elizaveta Korotkova, Mark Fishel
Many works proposed methods to improve the performance of Neural Machine Translation (NMT) models in a domain/multi-domain adaptation scenario. However, an understanding of how NMT…
Extremely low-resource machine translation for closely related languages
Maali Tars, Andre Tättar, Mark Fišel
An effective method to improve extremely low-resource neural machine translation is multilingual training, which can be improved by leveraging monolingual data to create synthetic…
Unsupervised Quality Estimation for Neural Machine Translation
Marina Fomicheva, Shuo Sun, Lisa Yankovskaya +6
Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT o…
Grammatical Error Correction and Style Transfer via Zero-shot Monolingual Translation
Elizaveta Korotkova, Agnes Luhtaru, Maksym Del +3
Both grammatical error correction and text style transfer can be viewed as monolingual sequence-to-sequence transformation tasks, but the scarcity of directly annotated data for ei…
Monolingual and Cross-lingual Zero-shot Style Transfer
Elizaveta Korotkova, Maksym Del, Mark Fishel
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…