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XTREME-S: Evaluating Cross-lingual Speech Representations ...
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One Country, 700+ Languages: NLP Challenges for Underrepresented Languages and Dialects in Indonesia ...
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Expanding Pretrained Models to Thousands More Languages via Lexicon-based Adaptation ...
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MasakhaNER: Named entity recognition for African languages
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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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Charformer: Fast Character Transformers via Gradient-based Subword Tokenization ...
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XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ...
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Efficient Test Time Adapter Ensembling for Low-resource Language Varieties ...
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XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ...
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A Call for More Rigor in Unsupervised Cross-lingual Learning ...
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Rethinking embedding coupling in pre-trained language models ...
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MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
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How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models ...
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UNKs Everywhere: Adapting Multilingual Language Models to New Scripts ...
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MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer ...
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Morphologically Aware Word-Level Translation
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In: Proceedings of the 28th International Conference on Computational Linguistics (2020)
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XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ...
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