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Cross-lingual or cross-domain correspondences play key roles in tasks ranging from machine translation to transfer learning.
Earth Mover’s Distance Minimization for Unsupervised Bilingual Lexicon Induction
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2017b · 1945
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A generalized solution of the orthogonal procrustes problem
Peter H. Schönemann. 1966 · 1966
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Adversarial training for unsupervised bilingual lexicon induction
Meng Zhang, Yang Liu, Huanbo Luan, and Maosong Sun. 2017a · 1970
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Differential object marking in Romance and beyond
Georg Bossong. 1991 · 1991
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Compiling bilingual lexicon entries from a non-parallel English-Chinese corpus
Pascale Fung. 1995 · 1995
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Identifying word translations in non-parallel texts
Reinhard Rapp. 1995 · 1995
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The Softassign Procrustes Matching Algorithm
Anand Rangarajan, Haili Chui, and Fred L Bookstein. 1997 · 1997
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Automatic identification of word translations from unrelated English and German corpora
Reinhard Rapp. 1999 · 1999
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What does it take to be a dative subject?
John Moore and David M. Perlmutter. 2000 · 2000
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The European linguistic area: Standard Average European
Martin Haspelmath. 2001 · 2001
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Gromov–Wasserstein distances and the metric approach to object matching
Facundo Mémoli. 2011 · 2011
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Sinkhorn distances: Lightspeed computation of optimal transport
Marco Cuturi. 2013 · 2013
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On the historical expansion of non-canonically marked ‘subjects’ in Spanish
Chantal Melis, Marcela Flores, and A Holvoet. 2013 · 2013
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Exploiting Similarities among Languages for Machine Translation
Tomas Mikolov, Quoc V Le, and Ilya Sutskever. 2013 · 2013
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Improving zero-shot learning by mitigating the hubness problem
Georgiana Dinu, Angeliki Lazaridou, and Marco Baroni. 2014 · 2014
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Improving vector space word representations using multilingual correlation
Manaal Faruqui and Chris Dyer. 2014 · 2014
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Gromov-Wasserstein averaging of kernel and distance matrices
Gabriel Peyré, Marco Cuturi, and Justin Solomon. 2016 · 2016
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Cross-lingual models of word embeddings: An empirical comparison
Shyam Upadhyay, Manaal Faruqui, Chris Dyer, and Dan Roth. 2016 · 2016
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Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings
Yuan Zhang, David Gaddy, Regina Barzilay, and Tommi Jaakkola. 2016 · 2016
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Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. 2017 · 2017
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A survey of cross-lingual embedding models
Sebastian Ruder, Ivan Vulić, and Anders Søgaard. 2017 · 2017
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Zipf’s word frequency law in natural language: A critical review and future directions
Steven T Piantadosi. 2014 · 2014
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Cross-lingual dependency parsing based on distributed representations
Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, and Ting Liu. 2015 · 2015
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Deep multilingual correlation for improved word embeddings
Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, and Karen Livescu. 2015 · 2015
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Learning principled bilingual mappings of word embeddings while preserving monolingual invariance
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2016 · 2016
Cited alongside, same era.
Word Embeddings as Metric Recovery in Semantic Spaces
Tatsunori B Hashimoto, David Alvarez-Melis, and Tommi S Jaakkola. 2016 · 2016
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Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L Smith, David H P Turban, Steven Hamblin, and Nils Y Hammerla. 2017 · 2017
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A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings
Mikel Artetxe, Gorka Labaka, and Eneko Agirre. 2018 · 2018
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Word Translation Without Parallel Data
Alexis Conneau, Guillaume Lample, Marc’Aurelio Ranzato, Ludovic Denoyer, and Hervé Jégou. 2018 · 2018
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Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2018 · 2018
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Computational Optimal Transport
Gabriel Peyré and Marco Cuturi. 2018 · 2018
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