publication . Preprint . 2017

Word Translation Without Parallel Data

Conneau, Alexis; Lample, Guillaume; Ranzato, Marc'Aurelio; Denoyer, Ludovic; Jégou, Hervé;
Open Access English
  • Published: 11 Oct 2017
Abstract
Comment: ICLR 2018
Subjects
free text keywords: Computer Science - Computation and Language
Download from
34 references, page 1 of 3

Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, and Noah A Smith. Massively multilingual word embeddings. arXiv preprint arXiv:1602.01925, 2016.

Mikel Artetxe, Gorka Labaka, and Eneko Agirre. Learning principled bilingual mappings of word embeddings while preserving monolingual invariance. Proceedings of EMNLP, 2016. [OpenAIRE]

Mikel Artetxe, Gorka Labaka, and Eneko Agirre. Learning bilingual word embeddings with (almost) no bilingual data. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 451-462. Association for Computational Linguistics, 2017. [OpenAIRE]

Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. The wacky wide web: a collection of very large linguistically processed web-crawled corpora. Language resources and evaluation, 43(3):209-226, 2009.

Marco Baroni, Angeliki Lazaridou, and Georgiana Dinu. Hubness and pollution: Delving into crossspace mapping for zero-shot learning. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, 2015. [OpenAIRE]

Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. Enriching word vectors with subword information. Transactions of the Association for Computational Linguistics, 5: 135-146, 2017.

Jose´ Camacho-Collados, Mohammad Taher Pilehvar, and Roberto Navigli. Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities. Artificial Intelligence, 240:36-64, 2016.

Jose Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier, and Roberto Navigli. Semeval2017 task 2: Multilingual and cross-lingual semantic word similarity. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), 2017.

Hailong Cao, Tiejun Zhao, Shu Zhang, and Yao Meng. A distribution-based model to learn bilingual word embeddings. Proceedings of COLING, 2016.

Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, and Nicolas Usunier. Parseval networks: Improving robustness to adversarial examples. International Conference on Machine Learning, pp. 854-863, 2017.

Georgiana Dinu, Angeliki Lazaridou, and Marco Baroni. Improving zero-shot learning by mitigating the hubness problem. International Conference on Learning Representations, Workshop Track, 2015.

Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Franc¸ois Laviolette, Mario Marchand, and Victor Lempitsky. Domain-adversarial training of neural networks. Journal of Machine Learning Research, 17(59):1-35, 2016.

Ian Goodfellow. Nips 2016 tutorial: arXiv:1701.00160, 2016.

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. Advances in neural information processing systems, pp. 2672-2680, 2014.

Stephan Gouws, Yoshua Bengio, and Greg Corrado. Bilbowa: Fast bilingual distributed representations without word alignments. In Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pp. 748-756, 2015.

34 references, page 1 of 3
Abstract
Comment: ICLR 2018
Subjects
free text keywords: Computer Science - Computation and Language
Download from
34 references, page 1 of 3

Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer, and Noah A Smith. Massively multilingual word embeddings. arXiv preprint arXiv:1602.01925, 2016.

Mikel Artetxe, Gorka Labaka, and Eneko Agirre. Learning principled bilingual mappings of word embeddings while preserving monolingual invariance. Proceedings of EMNLP, 2016. [OpenAIRE]

Mikel Artetxe, Gorka Labaka, and Eneko Agirre. Learning bilingual word embeddings with (almost) no bilingual data. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 451-462. Association for Computational Linguistics, 2017. [OpenAIRE]

Marco Baroni, Silvia Bernardini, Adriano Ferraresi, and Eros Zanchetta. The wacky wide web: a collection of very large linguistically processed web-crawled corpora. Language resources and evaluation, 43(3):209-226, 2009.

Marco Baroni, Angeliki Lazaridou, and Georgiana Dinu. Hubness and pollution: Delving into crossspace mapping for zero-shot learning. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics, 2015. [OpenAIRE]

Piotr Bojanowski, Edouard Grave, Armand Joulin, and Tomas Mikolov. Enriching word vectors with subword information. Transactions of the Association for Computational Linguistics, 5: 135-146, 2017.

Jose´ Camacho-Collados, Mohammad Taher Pilehvar, and Roberto Navigli. Nasari: Integrating explicit knowledge and corpus statistics for a multilingual representation of concepts and entities. Artificial Intelligence, 240:36-64, 2016.

Jose Camacho-Collados, Mohammad Taher Pilehvar, Nigel Collier, and Roberto Navigli. Semeval2017 task 2: Multilingual and cross-lingual semantic word similarity. Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval 2017), 2017.

Hailong Cao, Tiejun Zhao, Shu Zhang, and Yao Meng. A distribution-based model to learn bilingual word embeddings. Proceedings of COLING, 2016.

Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, and Nicolas Usunier. Parseval networks: Improving robustness to adversarial examples. International Conference on Machine Learning, pp. 854-863, 2017.

Georgiana Dinu, Angeliki Lazaridou, and Marco Baroni. Improving zero-shot learning by mitigating the hubness problem. International Conference on Learning Representations, Workshop Track, 2015.

Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, Franc¸ois Laviolette, Mario Marchand, and Victor Lempitsky. Domain-adversarial training of neural networks. Journal of Machine Learning Research, 17(59):1-35, 2016.

Ian Goodfellow. Nips 2016 tutorial: arXiv:1701.00160, 2016.

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. Advances in neural information processing systems, pp. 2672-2680, 2014.

Stephan Gouws, Yoshua Bengio, and Greg Corrado. Bilbowa: Fast bilingual distributed representations without word alignments. In Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pp. 748-756, 2015.

34 references, page 1 of 3
Any information missing or wrong?Report an Issue