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Multilingual CoNaLa Datset, train data ...
Zhiruo Wang; Cuenca, Grace; Shuyan Zhou. - : Zenodo, 2022
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Multilingual CoNaLa Datset, train data ...
Zhiruo Wang; Cuenca, Grace; Shuyan Zhou. - : Zenodo, 2022
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AUTOLEX: An Automatic Framework for Linguistic Exploration ...
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MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages ...
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A Systematic Evaluation of Large Language Models of Code ...
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Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation ...
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7
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
In: Transactions of the Association for Computational Linguistics, 7, 313–325 ; ISSN: 2307-387X (2022)
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Lightly Supervised Quality Estimation
Waibel, Alex; Niehues, Jan; Stüker, Sebastian. - : Association for Computational Linguistics, 2022
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MasakhaNER: Named entity recognition for African languages
In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-03350962 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2021, ⟨10.1162/tacl⟩ (2021)
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Phoneme Recognition through Fine Tuning of Phonetic Representations: a Case Study on Luhya Language Varieties ...
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11
Few-shot Language Coordination by Modeling Theory of Mind ...
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12
Systematic Inequalities in Language Technology Performance across the World's Languages ...
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13
Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ...
Abstract: This paper studies zero-shot cross-lingual transfer of vision-language models. Specifically, we focus on multilingual text-to-video search and propose a Transformer-based model that learns contextualized multilingual multimodal embeddings. Under a zero-shot setting, we empirically demonstrate that performance degrades significantly when we query the multilingual text-video model with non-English sentences. To address this problem, we introduce a multilingual multimodal pre-training strategy, and collect a new multilingual instructional video dataset (MultiHowTo100M) for pre-training. Experiments on VTT show that our method significantly improves video search in non-English languages without additional annotations. Furthermore, when multilingual annotations are available, our method outperforms recent baselines by a large margin in multilingual text-to-video search on VTT and VATEX; as well as in multilingual text-to-image search on Multi30K. Our model and Multi-HowTo100M is available at ... : accepted by NAACL 2021 ...
Keyword: Computation and Language cs.CL; Computer Vision and Pattern Recognition cs.CV; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2103.08849
https://arxiv.org/abs/2103.08849
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14
Multi-view Subword Regularization ...
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15
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning ...
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16
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ...
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17
When Does Translation Require Context? A Data-driven, Multilingual Exploration ...
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Breaking Down Multilingual Machine Translation ...
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Efficient Test Time Adapter Ensembling for Low-resource Language Varieties ...
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20
Distributionally Robust Multilingual Machine Translation ...
Zhou, Chunting; Levy, Daniel; Li, Xian. - : arXiv, 2021
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