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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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3
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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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 ...
Abstract: $\textit{No man is an island.}$ Humans communicate with a large community by coordinating with different interlocutors within short conversations. This ability has been understudied by the research on building neural communicative agents. We study the task of few-shot $\textit{language coordination}$: agents quickly adapting to their conversational partners' language abilities. Different from current communicative agents trained with self-play, we require the lead agent to coordinate with a $\textit{population}$ of agents with different linguistic abilities, quickly adapting to communicate with unseen agents in the population. This requires the ability to model the partner's beliefs, a vital component of human communication. Drawing inspiration from theory-of-mind (ToM; Premack& Woodruff (1978)), we study the effect of the speaker explicitly modeling the listeners' mental states. The speakers, as shown in our experiments, acquire the ability to predict the reactions of their partner, which helps it ... : Thirty-eighth International Conference on Machine Learning (ICML 2021) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2107.05697
https://arxiv.org/abs/2107.05697
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12
Systematic Inequalities in Language Technology Performance across the World's Languages ...
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Multilingual Multimodal Pre-training for Zero-Shot Cross-Lingual Transfer of Vision-Language Models ...
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Multi-view Subword Regularization ...
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15
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning ...
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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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18
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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