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Sheila Castilho

dublin city university, adapt centre

2 papers hereh-index 191.6k citations54 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CL2
affiliations
  • dublin city university, adapt centre
ORCID 0000-0002-8416-6555

identity via Semantic Scholar / OpenAlex

most citedA Set of Recommendations for Assessing Human-Machine Parity in Language Translation

68 citations · 68 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2020★ 68 cited

A Set of Recommendations for Assessing Human-Machine Parity in Language Translation

Samuel Läubli, Sheila Castilho, Graham Neubig +3

The quality of machine translation has increased remarkably over the past years, to the degree that it was found to be indistinguishable from professional human translation in a nu…

cs.CL2018

Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

Antonio Toral, Sheila Castilho, Ke Hu +1

We reassess a recent study (Hassan et al., 2018) that claimed that machine translation (MT) has reached human parity for the translation of news from Chinese into English, using pa…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.