Gender and Age Bias in Commercial Machine Translation

Author:

Bianchi Federico,Fornaciari Tommaso,Hovy Dirk,Nozza Debora

Publisher

Springer International Publishing

Reference54 articles.

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2. Bentivogli L, Savoldi B, Negri M, Di Gangi MA, Cattoni R, Turchi M (2020) Gender in danger? evaluating speech translation technology on the MuST-SHE corpus. In: Proceedings of the 58th annual meeting of the association for computational linguistics, Online. Association for Computational Linguistics, pp 6923–6933

3. Bianchi F, Hovy D (2021) On the gap between adoption and understanding in NLP. In: Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Online. Association for Computational Linguistics, pp 3895–3901

4. Bianchi F, Nozza D, Hovy D (2021a) FEEL-IT: Emotion and sentiment classification for the Italian language. In: Proceedings of the eleventh workshop on computational approaches to subjectivity, sentiment and social media analysis, Online. Association for Computational Linguistics, pp 76–83

5. Bianchi F, Nozza D, Hovy D (2021b) Language invariant properties in natural language processing. Preprint. arXiv:2109.13037

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