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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 – 20 of 20 1 Neural machine translation between similar south-Slavic languages Popović, Maja; Poncelas, Alberto In: Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Neural machine translation between similar south-Slavic languages. In: 2020 Fifth Conference on Machine Translation (WMT20), 19-20 Nov 2020, Dominican Republic (Online). (2020) BASE Show details 2 Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation Soto, Xabier; Shterionov, Dimitar; Poncelas, Alberto... In: Soto, Xabier orcid:0000-0002-3622-6496 , Shterionov, Dimitar orcid:0000-0001-6300-797X , Poncelas, Alberto orcid:0000-0002-5089-1687 and Way, Andy orcid:0000-0001-5736-5930 (2020) Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation. In: Annual Conference of the Association for Computational Linguistics, ACL, 5-10 July 2020, Seattle, WA, USA (Online). (2020) BASE Show details 3 Rapid development of competitive translation engines for access to multilingual COVID-19 information Way, Andy; Haque, Rejwanul; Xie, Guodong... In: Way, Andy orcid:0000-0001-5736-5930 , Haque, Rejwanul orcid:0000-0003-1680-0099 , Xie, Guodong, Gaspari, Federico orcid:0000-0003-3808-8418 , Popović, Maja orcid:0000-0001-8234-8745 and Poncelas, Alberto orcid:0000-0002-5089-1687 (2020) Rapid development of competitive translation engines for access to multilingual COVID-19 information. Informatics . ISSN 2227-9709 (2020) BASE Show details 4 Using multiple subwords to improve English-Esperanto automated literary translation quality Poncelas, Alberto; Way, Andy; Hadley, James... In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Buts, Jan orcid:0000-0002-7657-804X , Hadley, James orcid:0000-0003-1950-2679 and Way, Andy orcid:0000-0001-5736-5930 (2020) Using multiple subwords to improve English-Esperanto automated literary translation quality. In: Workshop on Technologies for MT of Low Resource Languages (AACL-IJCNLP), 4 Dec 2020, Suzhou, China(Online). (2020) BASE Show details 5 The impact of indirect machine translation on sentiment classification Hadley, James; Way, Andy; Poncelas, Alberto... In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Lohar, Pintu, Way, Andy orcid:0000-0001-5736-5930 and Hadley, James orcid:0000-0003-1950-2679 (2020) The impact of indirect machine translation on sentiment classification. In: 14th biennial conference of the Association for Machine Translation in the Americas, AMTA, 6-10 Oct 2020, Orlando, Fl, USA (Virtual). (In Press) (2020) BASE Show details 6 Facilitating Access to Multilingual COVID-19 Information via Neural Machine Translation ... Way, Andy; Haque, Rejwanul; Xie, Guodong. - : arXiv, 2020 BASE Show details 7 Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation ... Soto, Xabier; Shterionov, Dimitar; Poncelas, Alberto. - : arXiv, 2020 BASE Show details 8 Adapting NMT to caption translation in Wikimedia Commons for low-resource languages Poncelas, Alberto; Sarasola, Kepa; Dowling, Meghan... In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Sarasola, Kepa orcid:0000-0003-4349-6088 , Dowling, Meghan orcid:0000-0003-1637-4923 , Way, Andy orcid:0000-0001-5736-5930 , Labaka, Gorka orcid:0000-0003-4611-2502 and Alegria, Iñaki orcid:0000-0002-0272-1472 (2019) Adapting NMT to caption translation in Wikimedia Commons for low-resource languages. Procesamiento de Lenguaje Natural, 63 . pp. 33-40. ISSN 1135-5948 (2019) BASE Show details 9 Adapting NMT to caption translation in Wikimedia Commons for low-resource languages Poncelas, Alberto; Sarasola, Kepa; Dowling, Meghan... In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Sarasola, Kepa orcid:0000-0003-4349-6088 , Dowling, Meghan orcid:0000-0003-1637-4923 , Way, Andy orcid:0000-0001-5736-5930 , Labaka, Gorka orcid:0000-0003-4611-2502 and Alegria, Iñaki orcid:0000-0002-0272-1472 (2019) Adapting NMT to caption translation in Wikimedia Commons for low-resource languages. Procesamiento del Lenguaje Natural, 63 . pp. 33-40. ISSN 1135-5948 (2019) BASE Show details 10 Selecting artificially-generated sentences for fine-tuning neural machine translation Way, Andy; Poncelas, Alberto In: Poncelas, Alberto orcid:0000-0002-5089-1687 and Way, Andy orcid:0000-0001-5736-5930 (2019) Selecting artificially-generated sentences for fine-tuning neural machine translation. In: 12th International Conference on Natural Language Generation, 29 Oct - 1 Nov 2019, Tokyo, Japan. (2019) BASE Show details 11 Improving transductive data selection algorithms for machine translation Poncelas, Alberto. - : Dublin City University. School of Computing, 2019. : Dublin City University. ADAPT, 2019 In: Poncelas, Alberto orcid:0000-0002-5089-1687 (2019) Improving transductive data selection algorithms for machine translation. PhD thesis, Dublin City University. (2019) Abstract: In this work, we study different ways of improving Machine Translation models by using the subset of training data that is the most relevant to the test set. This is achieved by using Transductive Algoritms (TA) for data selection. In particular, we explore two methods: Infrequent N-gram Recovery (INR) and Feature Decay Algorithms (FDA). Statistical Machine Translation (SMT) models do not always perform better when more data are used for training. Using these techniques to extract the training sentences leads to a better performance of the models for translating a particular test set than using the complete training dataset. Neural Machine Translation (NMT) can outperform SMT models, but they require more data to achieve the best performance. In this thesis, we explore how INR and FDA can also be beneficial to improving NMT models with just a fraction of the available data. On top of that, we propose several improvements for these data-selection methods by exploiting the information on the target side. First, we use the alignment between words in the source and target sides to modify the selection criteria of these methods. Those sentences containing n-grams that are more difficult to translate should be promoted so that more occurrences of these n-grams are selected. Another extension proposed is to select sentences based not on the test set but on an MT-generated approximated translation (so the target-side of the sentences are considered in the selection criteria). Finally, target-language sentences can be translated into the source-language so that INR and FDA have more candidates to select sentences from. Keyword: Computational linguistics; Machine learning; Machine translating URL: http://doras.dcu.ie/23726/ BASE Hide details 12 Combining SMT and NMT back-translated data for efficient NMT Shterionov, Dimitar; Way, Andy; Maillette de Buy Wenniger, Gideon... In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Popović, Maja orcid:0000-0001-8234-8745 , Shterionov, Dimitar orcid:0000-0001-6300-797X , Maillette de Buy Wenniger, Gideon and Way, Andy orcid:0000-0001-5736-5930 (2019) Combining SMT and NMT back-translated data for efficient NMT. In: Recent Advances in Natural Language Processing (RANLP 2019), 2-4 Sept 2019, Varna, Bulgaria. (2019) BASE Show details 13 Transductive data-selection algorithms for fine-tuning neural machine translation Maillette de Buy Wenniger, Gideon; Way, Andy; Poncelas, Alberto In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Maillette de Buy Wenniger, Gideon orcid:0000-0001-8427-7055 and Way, Andy orcid:0000-0001-5736-5930 (2019) Transductive data-selection algorithms for fine-tuning neural machine translation. In: The 8th Workshop on Patent and Scientific Literature Translation, Dublin, Ireland. (2019) BASE Show details 14 Adaptation of machine translation models with back-translated data using transductive data selection methods Maillette de Buy Wenniger, Gideon; Way, Andy; Poncelas, Alberto In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Maillette de Buy Wenniger, Gideon orcid:0000-0001-8427-7055 and Way, Andy orcid:0000-0001-5736-5930 (2019) Adaptation of machine translation models with back-translated data using transductive data selection methods. In: A Proceedings of CICLing 2019, the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 7 - 13 Apr 2019, La Rochelle, France. (2019) BASE Show details 15 ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction ... Vanmassenhove, Eva; Moryossef, Amit; Poncelas, Alberto. - : arXiv, 2019 BASE Show details 16 Adapting NMT to caption translation in Wikimedia Commons for low-resource languages ; Adaptando NMT a la traducción de pies de imagen en Wikimedia Commons para idiomas con pocos recursos Poncelas, Alberto; Sarasola Gabiola, Kepa; Dowling, Meghan. - : Sociedad Española para el Procesamiento del Lenguaje Natural, 2019 BASE Show details 17 Extracting in-domain training corpora for neural machine translation using data selection methods Liu, Chao-Hong; Poncelas, Alberto; Way, Andy... In: Cruz Silva, Catarina, Liu, Chao-Hong orcid:0000-0002-1235-6026 , Poncelas, Alberto orcid:0000-0002-5089-1687 and Way, Andy orcid:0000-0001-5736-5930 (2018) Extracting in-domain training corpora for neural machine translation using data selection methods. In: Third Conference on Machine Translation (WMT), 31 Oct - 1 Nov 2018, Belgium, Brussels. (2018) BASE Show details 18 Understanding Meanings in Multilingual Customer Feedback ... Liu, Chao-Hong; Groves, Declan; Hayakawa, Akira. - : arXiv, 2018 BASE Show details 19 Applying N-gram alignment entropy to improve feature decay algorithms Poncelas, Alberto; Maillette de Buy Wenniger, Gideon; Way, Andy In: Poncelas, Alberto orcid:0000-0002-5089-1687 , Maillette de Buy Wenniger, Gideon and Way, Andy orcid:0000-0001-5736-5930 (2017) Applying N-gram alignment entropy to improve feature decay algorithms. The Prague Bulletin of Mathematical Linguistics (108). pp. 245-256. ISSN 0032-6585 (2017) BASE Show details 20 Applying N-gram Alignment Entropy to Improve Feature Decay Algorithms Poncelas Alberto; Maillette de Buy Wenniger Gideon; Way Andy In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 245-256 (2017) (2017) BASE Show details

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