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Who cites «Filtering and Mining Parallel Data in a Joint Multilingual Space»

71 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Filtering and Mining Parallel Data in a Joint Multilingual Space»

  1. Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondMikel Artetxe, Holger Schwenk2018 · 629 citations
  2. WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from WikipediaHolger Schwenk, Vishrav Chaudhary, Shuo Sun, et al.2019 · 425 citations
  3. CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBHolger Schwenk, Guillaume Wenzek, Sergey Edunov, et al.2019 · 356 citations
  4. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
  5. Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingBrian Thompson, Matt Post2020 · 259 citations
  6. The Curious Case of Hallucinations in Neural Machine TranslationVikas Raunak, Arul Menezes, Marcin Junczys-Dowmunt2021 · 241 citations
  7. CCAligned: A Massive Collection of Cross-Lingual Web-Document PairsAhmed El-Kishky, Vishrav Chaudhary, Francisco Guzmán, et al.2020 · 229 citations
  8. Dual Conditional Cross-Entropy Filtering of Noisy Parallel CorporaMarcin Junczys-Dowmunt2018 · 200 citations
  9. SeamlessM4T: Massively Multilingual & Multimodal Machine TranslationSeamless Communication, Loic Barrault, Yu-An Chung, et al.2023 · 183 citations
  10. Margin-based Parallel Corpus Mining with Multilingual Sentence EmbeddingsMikel Artetxe, Holger Schwenk2019 · 165 citations
  11. Low-Resource Corpus Filtering Using Multilingual Sentence EmbeddingsVishrav Chaudhary, Yuqing Tang, Francisco Guzmán, et al.2019 · 110 citations
  12. Fixing Translation Divergences in Parallel Corpora for Neural MTMinhQuang Pham, Josep Crego, Jean Senellart, et al.2018 · 24 citations

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

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