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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 Page: 1 2 Hits 1 – 20 of 22 1 XTREME-S: Evaluating Cross-lingual Speech Representations ... Conneau, Alexis; Bapna, Ankur; Zhang, Yu. - : arXiv, 2022 BASE Show details 2 Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation ... Cheng, Yong; Bapna, Ankur; Firat, Orhan. - : arXiv, 2022 BASE Show details 3 Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning ... Siddhant, Aditya; Bapna, Ankur; Firat, Orhan; Cao, Yuan; Chen, Mia Xu; Caswell, Isaac; Garcia, Xavier. - : arXiv, 2022 Abstract: Achieving universal translation between all human language pairs is the holy-grail of machine translation (MT) research. While recent progress in massively multilingual MT is one step closer to reaching this goal, it is becoming evident that extending a multilingual MT system simply by training on more parallel data is unscalable, since the availability of labeled data for low-resource and non-English-centric language pairs is forbiddingly limited. To this end, we present a pragmatic approach towards building a multilingual MT model that covers hundreds of languages, using a mixture of supervised and self-supervised objectives, depending on the data availability for different language pairs. We demonstrate that the synergy between these two training paradigms enables the model to produce high-quality translations in the zero-resource setting, even surpassing supervised translation quality for low- and mid-resource languages. We conduct a wide array of experiments to understand the effect of the degree of ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2201.03110 https://arxiv.org/abs/2201.03110 BASE Hide details 4 mSLAM: Massively multilingual joint pre-training for speech and text ... Bapna, Ankur; Cherry, Colin; Zhang, Yu. - : arXiv, 2022 BASE Show details 5 Examining Scaling and Transfer of Language Model Architectures for Machine Translation ... Zhang, Biao; Ghorbani, Behrooz; Bapna, Ankur. - : arXiv, 2022 BASE Show details 6 MAESTRO: Matched Speech Text Representations through Modality Matching ... Chen, Zhehuai; Zhang, Yu; Rosenberg, Andrew. - : arXiv, 2022 BASE Show details 7 Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets Caswell, Isaac; Kreutzer, Julia; Wang, Lisa... In: https://hal.inria.fr/hal-03177623 ; 2021 (2021) BASE Show details 8 Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets ... Kreutzer, Julia; Caswell, Isaac; Wang, Lisa. - : arXiv, 2021 BASE Show details 9 Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents ... Zhang, Biao; Bapna, Ankur; Johnson, Melvin. - : arXiv, 2021 BASE Show details 10 Joint Unsupervised and Supervised Training for Multilingual ASR ... Bai, Junwen; Li, Bo; Zhang, Yu. - : arXiv, 2021 BASE Show details 11 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation ... Zhang, Biao; Bapna, Ankur; Sennrich, Rico. - : ICLR, 2021 BASE Show details 12 Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference ... Kudugunta, Sneha; Huang, Yanping; Bapna, Ankur. - : arXiv, 2021 BASE Show details 13 Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Bapna, Ankur; Firat, Orhan. - : Underline Science Inc., 2021 BASE Show details 14 Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation Zhang, Biao; Bapna, Ankur; Sennrich, Rico... In: Zhang, Biao; Bapna, Ankur; Sennrich, Rico; Firat, Orhan (2021). Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation. In: International Conference on Learning Representations, Virtual, 3 May 2021 - 7 May 2021, ICLR. (2021) BASE Show details 15 Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation ... Siddhant, Aditya; Bapna, Ankur; Cao, Yuan. - : arXiv, 2020 BASE Show details 16 Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus ... Caswell, Isaac; Breiner, Theresa; van Esch, Daan. - : arXiv, 2020 BASE Show details 17 Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation ... Siddhant, Aditya; Johnson, Melvin; Tsai, Henry. - : arXiv, 2019 BASE Show details 18 Investigating Multilingual NMT Representations at Scale ... Kudugunta, Sneha Reddy; Bapna, Ankur; Caswell, Isaac. - : arXiv, 2019 BASE Show details 19 Simple, Scalable Adaptation for Neural Machine Translation ... Bapna, Ankur; Arivazhagan, Naveen; Firat, Orhan. - : arXiv, 2019 BASE Show details 20 Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges ... Arivazhagan, Naveen; Bapna, Ankur; Firat, Orhan. - : arXiv, 2019 BASE Show details Page: 1 2

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