Globetrotter: Unsupervised Multilingual Translation from Visual Alignment

• URL: http://arxiv.org/abs/2012.04631v1
• Date: Tue, 8 Dec 2020 18:50:40 GMT
• Title: Globetrotter: Unsupervised Multilingual Translation from Visual Alignment
• Authors: D\'idac Sur\'is, Dave Epstein, Carl Vondrick
• Abstract summary: We introduce a framework that uses the visual modality to align multiple languages. We estimate the cross-modal alignment between language and images, and use this estimate to guide the learning of cross-lingual representations. Our language representations are trained jointly in one model with a single stage.
• Score: 24.44204156935044
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Multi-language machine translation without parallel corpora is challenging because there is no explicit supervision between languages. Existing unsupervised methods typically rely on topological properties of the language representations. We introduce a framework that instead uses the visual modality to align multiple languages, using images as the bridge between them. We estimate the cross-modal alignment between language and images, and use this estimate to guide the learning of cross-lingual representations. Our language representations are trained jointly in one model with a single stage. Experiments with fifty-two languages show that our method outperforms baselines on unsupervised word-level and sentence-level translation using retrieval.

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