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Few-shot learning through contextual data augmentation
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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2
Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking ...
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3
CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification ...
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4
Exploring Unsupervised Pretraining Objectives for Machine Translation ...
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Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking ...
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6
Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media
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
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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9
Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media ...
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10
Architecture of a Scalable, Secure and Resilient Translation Platform for Multilingual News Media ...
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11
MultiWord Expression Aware Neural Machine Translation ...
Zaninello, Andrea; Birch, Alexandra. - : Zenodo, 2020
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12
MultiWord Expression Aware Neural Machine Translation ...
Zaninello, Andrea; Birch, Alexandra. - : Zenodo, 2020
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13
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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15
The University of Edinburgh’s Submissions to the WMT19 News Translation Task
In: 4th Conference on Machine Translation ; https://hal.inria.fr/hal-02986330 ; 4th Conference on Machine Translation, 2019, Florence, Italy (2019)
Abstract: International audience ; The University of Edinburgh participated in the WMT19 Shared Task on News Translation in six language directions: English↔Gujarati, English↔Chinese, German→English, and English→Czech. For all translation directions , we created or used back-translations of monolingual data in the target language as additional synthetic training data. For English↔Gujarati, we also explored semi-supervised MT with cross-lingual language model pre-training, and translation pivoting through Hindi. For translation to and from Chi-nese, we investigated character-based tokeni-sation vs. sub-word segmentation of Chinese text. For German→English, we studied the impact of vast amounts of back-translated training data on translation quality, gaining a few additional insights over Edunov et al. (2018). For English→Czech, we compared different pre-processing and tokenisation regimes.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]
URL: https://hal.inria.fr/hal-02986330/file/UEDIN_at_WMT19.pdf
https://hal.inria.fr/hal-02986330
https://hal.inria.fr/hal-02986330/document
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16
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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18
On the Importance of Word Boundaries in Character-level Neural Machine Translation ...
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19
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ...
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20
Generalization in Generation: A closer look at Exposure Bias
In: Proceedings of the 3rd Workshop on Neural Generation and Translation (2019)
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