Search Results for author:
Found 2 papers, 1 papers with code
Mitigating Gender Bias in Machine Translation with Target Gender Annotations
to a language with grammatical gender, it might be necessary to determine the gender of the subject "secretary".
Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation
Neural machine translation systems typically are trained on curated corpora and break when faced with non-standard orthography or punctuation.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
