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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. - : arXiv, 2022 BASE Show 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 Abstract: Fine-tuning pre-trained Neural Machine Translation (NMT) models is the dominant approach for adapting to new languages and domains. However, fine-tuning requires adapting and maintaining a separate model for each target task. We propose a simple yet efficient approach for adaptation in NMT. Our proposed approach consists of injecting tiny task specific adapter layers into a pre-trained model. These lightweight adapters, with just a small fraction of the original model size, adapt the model to multiple individual tasks simultaneously. We evaluate our approach on two tasks: (i) Domain Adaptation and (ii) Massively Multilingual NMT. Experiments on domain adaptation demonstrate that our proposed approach is on par with full fine-tuning on various domains, dataset sizes and model capacities. On a massively multilingual dataset of 103 languages, our adaptation approach bridges the gap between individual bilingual models and one massively multilingual model for most language pairs, paving the way towards universal ... : EMNLP 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://arxiv.org/abs/1909.08478 https://dx.doi.org/10.48550/arxiv.1909.08478 BASE Hide 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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