🔗 Who cites «When and Why is Document-level Context Useful in Neural Machine Translation?»

64 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «When and Why is Document-level Context Useful in Neural Machine Translation?»

1. Gender Bias in Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Beatrice Savoldi, Marco Gaido, Luisa Bentivogli, et al.2021 · 310 citations
2. Rethinking Document-level Neural Machine TranslationFindings of the Association for Computational LinguisticsZewei Sun, Mingxuan Wang, Hao Zhou, et al.2022 · 107 citations
3. Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric into a Document-Level MetricConference on Machine Translation (WMT)Giorgos Vernikos, Brian Thompson, Prashant Mathur, et al.2022 · 68 citations
4. Gender Disambiguation in Machine Translation: Diagnostic Evaluation in Decoder-Only ArchitecturesLanguage Resources and Evaluation Conference (LREC)Chiara Manna, Hosein Mohebbi, Afra Alishahi, et al.2026 · 3 citations

60 more papers of our library cite it; they have no page here yet.

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