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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 mSLAM: Massively multilingual joint pre-training for speech and text ... Bapna, Ankur; Cherry, Colin; Zhang, Yu. - : arXiv, 2022 BASE Show details 2 Larger-Scale Transformers for Multilingual Masked Language Modeling ... Goyal, Naman; Du, Jingfei; Ott, Myle. - : arXiv, 2021 BASE Show details 3 Unsupervised Cross-lingual Representation Learning for Speech Recognition ... Conneau, Alexis; Baevski, Alexei; Collobert, Ronan. - : arXiv, 2020 BASE Show details 4 Multilingual Speech Translation with Efficient Finetuning of Pretrained Models ... Li, Xian; Wang, Changhan; Tang, Yun. - : arXiv, 2020 BASE Show details 5 Unsupervised Cross-lingual Representation Learning at Scale ... Conneau, Alexis; Khandelwal, Kartikay; Goyal, Naman. - : arXiv, 2019 BASE Show details 6 Emerging Cross-lingual Structure in Pretrained Language Models ... Wu, Shijie; Conneau, Alexis; Li, Haoran. - : arXiv, 2019 BASE Show details 7 XNLI: Evaluating Cross-lingual Sentence Representations ... Conneau, Alexis; Lample, Guillaume; Rinott, Ruty. - : arXiv, 2018 BASE Show details 8 What you can cram into a single vector: Probing sentence embeddings for linguistic properties ... Conneau, Alexis; Kruszewski, German; Lample, Guillaume; Barrault, Loïc; Baroni, Marco. - : arXiv, 2018 Abstract: Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing. "Downstream" tasks, often based on sentence classification, are commonly used to evaluate the quality of sentence representations. The complexity of the tasks makes it however difficult to infer what kind of information is present in the representations. We introduce here 10 probing tasks designed to capture simple linguistic features of sentences, and we use them to study embeddings generated by three different encoders trained in eight distinct ways, uncovering intriguing properties of both encoders and training methods. ... : ACL 2018 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1805.01070 https://dx.doi.org/10.48550/arxiv.1805.01070 BASE Hide details 9 Word Translation Without Parallel Data ... Conneau, Alexis; Lample, Guillaume; Ranzato, Marc'Aurelio. - : arXiv, 2017 BASE Show details

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