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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 26 1 Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Amponsah-Kaakyire, Kwabena; Dutta Chowdhury, Koel. - : Underline Science Inc., 2021 BASE Show details 2 Neural machine translation for multimodal interaction Dutta Chowdhury, Koel. - : Dublin City University. School of Computing, 2019. : Dublin City University. ADAPT, 2019 In: Dutta Chowdhury, Koel (2019) Neural machine translation for multimodal interaction. Master of Science thesis, Dublin City University. (2019) Abstract: Typically it is seen that multimodal neural machine translation (MNMT) systems trained on a combination of visual and textual inputs produce better translations than systems trained using only textual inputs. The task of such systems can be decomposed into two sub-tasks: learning visually grounded representations from images and translation of the textual counterparts using those representations. In a multi-task learning framework, translations are generated from an attention-based encoder-decoder framework and grounded representations that are learned from pretrained convolutional neural networks (CNNs) for classifying images. In this thesis, I study different computational techniques to translate the meaning of sentences from one language into another considering the visual modality as a naturally occurring meaning representation bridging between languages. We examine the behaviour of state-of-the-art MNMT systems from the data perspective in order to understand the role of the both textual and visual inputs in such systems. We evaluate our models on the Multi30k, a large-scale multilingual multimodal dataset publicly available for machine learning research. Our results in the optimal and sparse data settings show that the differences in translation system performance are proportional to the amount of both visual and linguistic information whereas, in the adversarial condition the effect of the visual modality is rather small or negligible. The chapters of the thesis follow a progression starting with using different state-of-the-art MMT models for incorporating images in optimal data settings to creating synthetic image data under the low-resource scenario and extending to addition of adversarial perturbations to the textual input for evaluating the real contribution of images. Keyword: Computational linguistics; Machine learning; Machine translating URL: http://doras.dcu.ie/23747/ BASE Hide details 3 Semantic reranking of CRF label sequences for verbal multiword expression identification Moreau, Erwan; Alsulaimani, Ashjan; Maldonado, Alfredo... In: Moreau, Erwan, Alsulaimani, Ashjan, Maldonado, Alfredo orcid:0000-0001-8426-5249 , Han, Lifeng, Vogel, Carl orcid:0000-0001-8928-8546 and Dutta Chowdhury, Koel (2018) Semantic reranking of CRF label sequences for verbal multiword expression identification. In: Markantonatou, Stella, Ramisch, Carlos orcid:0000-0001-7466-9039 , Savary, Agata and Vincze, Veronika orcid:0000-0002-9844-2194 , (eds.) Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop. Language Science Press, Berlin, pp. 177-207. ISBN 978-3-96110-124-5 (2018) BASE Show details 4 Multimodal neural machine translation for low-resource language pairs using synthetic data Hasanuzzaman, Mohammed; Liu, Qun; Dutta Chowdhury, Koel In: Dutta Chowdhury, Koel, Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Liu, Qun orcid:0000-0002-7000-1792 (2018) Multimodal neural machine translation for low-resource language pairs using synthetic data. In: Workshop on Deep Learning Approaches for Low-Resource NLP, 19 July 2018, Melbourne, Australia. (2018) BASE Show details 5 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 6 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 7 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 8 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 9 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 10 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 11 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 12 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 13 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 14 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 15 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 16 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 17 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 18 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 19 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details 20 Multiword expressions at length and in depth: Extended papers from the MWE 2017 workshop Markantonatou, Stella; Ramisch, Carlos; Savary, Agata. - : Language Science Press, 2018 In: Language Science Press; (2018) BASE Show details Page: 1 2

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