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Hallucinations and off-target translation remain unsolved problems in MT, especially for low-resource languages and massively multilingual models.
The missing ingredient in zero-shot neural machine translation
Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Roee Aharoni, Melvin Johnson, and Wolfgang Macherey. 2019 · 1903
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Dimensionality reduction by learning an invariant mapping
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Grounded compositional semantics for finding and describing images with sentences
Richard Socher, Andrej Karpathy, Quoc V. Le, Christopher D. Manning, and Andrew Y. Ng. 2014 · 2014
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chrF: character n-gram F-score for automatic MT evaluation
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Multi-way, multilingual neural machine translation with a shared attention mechanism
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
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Catherine Kobus, Josep Crego, and Jean Senellart. 2017 · 2017
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A call for clarity in reporting BLEU scores
Matt Post. 2018 · 2018
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Simple, scalable adaptation for neural machine translation
Ankur Bapna and Orhan Firat. 2019 · 2019
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Hallucinations in neural machine translation
Katherine Lee, Orhan Firat, Ashish Agarwal, Clara Fannjiang, and David Sussillo. 2019 · 2019
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Multilingual NMT with a language-independent attention bridge
Raúl Vázquez, Alessandro Raganato, Jörg Tiedemann, and Mathias Creutz. 2019 · 2019
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Is MAP decoding all you need? the inadequacy of the mode in neural machine translation
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Subword segmentation and a single bridge language affect zero-shot neural machine translation
Annette Rios, Mathias Müller, and Rico Sennrich. 2020 · 2020
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Beyond english-centric multilingual machine translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Michael Auli, and Armand Joulin. 2021 · 2021
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SimCSE: Simple contrastive learning of sentence embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2021 · 2021
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Mathias Müller and Rico Sennrich. 2021 · 2021
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The curious case of hallucinations in neural machine translation
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Investigating the translation performance of a large multilingual language model: the case of BLOOM
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An open dataset and model for language identification
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Scaling instruction-finetuned language models
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The Flores-101 evaluation benchmark for low-resource and multilingual machine translation
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