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Few-shot learning through contextual data augmentation
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In: EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03121971 ; EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2021, Kiev / Virtual, Ukraine (2021)
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Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking ...
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CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification ...
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Exploring Unsupervised Pretraining Objectives for Machine Translation ...
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Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking ...
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Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media
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In: Proceedings of the 1st International Workshop on Language Technology Platforms ; 1st International Workshop on Language Technology Platforms ; https://hal.archives-ouvertes.fr/hal-02900633 ; 1st International Workshop on Language Technology Platforms, 2020, Marseille, France. pp.16-21 (2020)
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The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task
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In: Proceedings of the 5th Conference on Machine Translation ; 5th Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-02981153 ; 5th Conference on Machine Translation, Nov 2020, Online, Unknown Region (2020)
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Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations ...
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Abstract:
Sparse language vectors from linguistic typology databases and learned embeddings from tasks like multilingual machine translation have been investigated in isolation, without analysing how they could benefit from each other's language characterisation. We propose to fuse both views using singular vector canonical correlation analysis and study what kind of information is induced from each source. By inferring typological features and language phylogenies, we observe that our representations embed typology and strengthen correlations with language relationships. We then take advantage of our multi-view language vector space for multilingual machine translation, where we achieve competitive overall translation accuracy in tasks that require information about language similarities, such as language clustering and ranking candidates for multilingual transfer. With our method, which is also released as a tool, we can easily project and assess new languages without expensive retraining of massive multilingual or ... : Accepted at EMNLP 2020. Camera-ready version ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/2004.14923 https://dx.doi.org/10.48550/arxiv.2004.14923
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Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media ...
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Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media ...
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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ...
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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ...
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The University of Edinburgh’s Submissions to the WMT19 News Translation Task
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In: 4th Conference on Machine Translation ; https://hal.inria.fr/hal-02986330 ; 4th Conference on Machine Translation, 2019, Florence, Italy (2019)
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Towards a Multi-view Language Representation: A Shared Space of Discrete and Continuous Language Features ...
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Towards a Multi-view Language Representation: A Shared Space of Discrete and Continuous Language Features ...
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On the Importance of Word Boundaries in Character-level Neural Machine Translation ...
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A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ...
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Generalization in Generation: A closer look at Exposure Bias
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In: Proceedings of the 3rd Workshop on Neural Generation and Translation (2019)
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