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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 It Is Not As Good As You Think! Evaluating Simultaneous Machine Translation on Interpretation Data ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Gholamreza; Arthur, Philip. - : Underline Science Inc., 2021 BASE Show details 2 Multilingual Simultaneous Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Gholamreza; Arthur, Philip. - : Underline Science Inc., 2021 BASE Show details 3 Speech technology for unwritten languages Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩ (2020) BASE Show details 4 Learning Coupled Policies for Simultaneous Machine Translation using Imitation Learning ... Arthur, Philip; Cohn, Trevor; Haffari, Gholamreza. - : arXiv, 2020 BASE Show details 5 Multilingual Neural Machine Translation With Soft Decoupled Encoding ... Wang, Xinyi; Pham, Hieu; Arthur, Philip; Neubig, Graham. - : arXiv, 2019 Abstract: Multilingual training of neural machine translation (NMT) systems has led to impressive accuracy improvements on low-resource languages. However, there are still significant challenges in efficiently learning word representations in the face of paucity of data. In this paper, we propose Soft Decoupled Encoding (SDE), a multilingual lexicon encoding framework specifically designed to share lexical-level information intelligently without requiring heuristic preprocessing such as pre-segmenting the data. SDE represents a word by its spelling through a character encoding, and its semantic meaning through a latent embedding space shared by all languages. Experiments on a standard dataset of four low-resource languages show consistent improvements over strong multilingual NMT baselines, with gains of up to 2 BLEU on one of the tested languages, achieving the new state-of-the-art on all four language pairs. ... : accepted at ICLR 2019 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1902.03499 https://dx.doi.org/10.48550/arxiv.1902.03499 BASE Hide details 6 Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018) BASE Show details 7 Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ... Scharenborg, Odette; Besacier, Laurent; Black, Alan. - : arXiv, 2018 BASE Show details 8 Incorporating Discrete Translation Lexicons into Neural Machine Translation ... Arthur, Philip; Neubig, Graham; Nakamura, Satoshi. - : arXiv, 2016 BASE Show details 9 Abordagem metodológica para conscientização e prevenção da gravidez em adolescentes Vacari, Flávia Elisa. - : Universidade Tecnológica Federal do Paraná, 2011. : Medianeira, 2011 BASE Show details

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