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Loss and Decay of Linguistic Richness in Machine Translation

Loss and Decay of Linguistic Richness in Machine Translation

Loss and Decay of Linguistic Richness in Machine Translation

Eva Vanmassenhove, Dimitar Shterionov, and Andy Way. 2019. Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. In Proceedings of ...

Loss and Decay of Linguistic Richness in Machine Translation - arXiv

Abstract page for arXiv paper 1906.12068: Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation.

Loss and Decay of Linguistic Richness in Machine Translation - CORE

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. Eva Vanmassenhove. Dimitar Shterionov. ADAPT, School of Computing, Dublin ...

Loss and Decay of Linguistic Richness in Machine Translation

This work presents an empirical approach to quantifying the loss of lexical richness in Machine Translation (MT) systems compared to Human Translation (HT).

Loss and Decay of Linguistic Richness in Machine Translation

Abstract and Figures. This work presents an empirical approach to quantifying the loss of lexical richness in Machine Translation (MT) systems ...

Loss and Decay of Linguistic Richness in Machine Translation

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. / Vanmassenhove, Eva; Shterionov, Dimitar; Way, Andy.

Lost in Translation: Loss and Decay of Linguistic Richness in Machine

Eva Vanmassenhove, Dimitar Sht. Shterionov, Andy Way: Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation.

Loss and Decay of Linguistic Richness in Machine Translation ...

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. E. Vanmassenhove, D. Shterionov, and A. Way. MTSummit (1), page 222-232.

Loss and Decay of Linguistic Richness in Machine Translation ...

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation. Vanmassenhove, E. (Invited speaker). Cognitive Science & AI · Cognitive ...

‪Andy Way‬ - ‪Google Scholar‬

Lost in translation: Loss and decay of linguistic richness in machine translation. E Vanmassenhove, D Shterionov, A Way. arXiv preprint arXiv:1906.12068, 2019.

arXiv:2102.00287v1 [cs.CL] 30 Jan 2021

... machine translated text and translation quality ... Lost in translation: Loss and decay of · linguistic richness in machine translation.

Does simplification hold true for machine translations? A corpus ...

The results show that simplification is corroborated overall in both machine and human translations when compared with target-language originals ...

‪Eva Vanmassenhove‬ - ‪Google Scholar‬

Lost in translation: Loss and decay of linguistic richness in machine translation. E Vanmassenhove, D Shterionov, A Way. arXiv preprint arXiv:1906.12068, 2019.

Frequency exacerbation and decay count (Test set) - ResearchGate

This work presents an empirical approach to quantifying the loss of lexical richness in Machine Translation (MT) systems compared to Human Translation (HT).

Lexical Richness in Human Translation versus Neural Machine ...

... linguistic richness, lexically and morphologically, of translations created by different MT ... Way, “Lost in Translation: Loss and Decay of Linguistic Richness.

Towards Improving Naturalness of Machine Translation Output

Lost in translation: Loss and decay of · linguistic richness in machine translation. In Pro- ceedings of Machine Translation Summit XVII: Re-.

Lexical Diversity in Statistical and Neural Machine Translation - MDPI

While machine translations of news exhibit slightly higher lexical density and lexical richness compared to human translations (HT), machine ...

Gender Bias in Machine Translation - MIT Press Direct

While discussing the loss and decay of certain words in translation, Vanmassenhove et al. (2019, 2021) attest to the existence of an algorithmic ...

What are the differences? A comparative study of generative artificial ...

... machine translation for 9 language directions. arXiv ... Lost in translation: Loss and decay of linguistic richness in machine translation.

Trust, understanding, and machine translation: the task of translation ...

... machine translation tasks involving language pairs ... Lost in translation: Loss & decay of linguistic richness in machine translation”.