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Mia C. Mayer

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CL1

identity via Semantic Scholar / OpenAlex

most citedMT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation

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

collaborators

1 paper

cs.CL2022★ 1 cited

MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation

Anna Currey, Maria Nădejde, Raghavendra Pappagari +5

As generic machine translation (MT) quality has improved, the need for targeted benchmarks that explore fine-grained aspects of quality has increased. In particular, gender accurac…

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