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Hits 21 – 37 of 37

21	Improving machine translation of English relative clauses with automatic text simplification
	Popović, Maja; Štajner, Sanja
	In: Štajner, Sanja and Popović, Maja orcid:0000-0001-8234-8745 (2018) Improving machine translation of English relative clauses with automatic text simplification. In: INLG 1st Workshop on Automatic Text Adaptation (ATA 18), 5-8 Nov 2018, Tilburg, Netherlands. (2018)
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22	NextGen AML: distributed deep learning based language technologies to augment anti money laundering Investigation
	Hayes, Jer; Wan, Dadong; Barman, Utsab...
	In: Han, Jingguang, Barman, Utsab, Hayes, Jer, Du, Jinhua orcid:0000-0002-3267-4881 , Burgin, Edward and Wan, Dadong (2018) NextGen AML: distributed deep learning based language technologies to augment anti money laundering Investigation. In: 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations, 15-20 July 201, Melbourne, Australia. (2018)
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23	Improving character-based decoding using target-side morphological information for neural machine translation
	Way, Andy; Liu, Qun; Passban, Peyman
	In: Passban, Peyman, Liu, Qun orcid:0000-0002-7000-1792 and Way, Andy orcid:0000-0001-5736-5930 (2018) Improving character-based decoding using target-side morphological information for neural machine translation. In: 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. (NAACL 2018), 1-6 June 2018, New Orleans, LA, USA. (2018)
	Abstract: Recently, neural machine translation (NMT) has emerged as a powerful alternative to conventional statistical approaches. However, its performance drops considerably in the presence of morphologically rich languages (MRLs). Neural engines usually fail to tackle the large vocabulary and high out-of-vocabulary (OOV) word rate of MRLs. Therefore, it is not suitable to exploit existing word-based models to translate this set of languages. In this paper, we propose an extension to the state-of-the-art model of Chung et al. (2016), which works at the character level and boosts the decoder with target-side morphological information. In our architecture, an additional morphology table is plugged into the model. Each time the decoder samples from a target vocabulary, the table sends auxiliary signals from the most relevant affixes in order to enrich the decoder’s current state and constrain it to provide better predictions. We evaluated our model to translate English into German, Russian, and Turkish as three MRLs and observed significant improvements.
	Keyword: Machine translating
	URL: http://doras.dcu.ie/23347/
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24	Incorporating Chinese radicals into neural machine translation: deeper than character level
	Kuang, Shaohui; Han, Lifeng
	In: Han, Lifeng orcid:0000-0002-3221-2185 and Kuang, Shaohui (2018) Incorporating Chinese radicals into neural machine translation: deeper than character level. In: 30th European Summer School in Logic, Language and Information (ESSLLI 2018), 6-17 Aug 2018, Sofia, Bulgaria. (2018)
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25	Tailoring neural architectures for translating from morphologically rich languages
	Liu, Qun; Way, Andy; Passban, Peyman
	In: Passban, Peyman, Way, Andy orcid:0000-0001-5736-5930 and Liu, Qun orcid:0000-0002-7000-1792 (2018) Tailoring neural architectures for translating from morphologically rich languages. In: 27th International Conference on Computational Linguistics, 20-26 Aug 2018, Santa Fe, New Mexico, USA. (2018)
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26	Incorporating Chinese radicals into neural machine translation: deeper Than character level
	Kuang, Shaohui; Han, Lifeng
	In: Han, Lifeng and Kuang, Shaohui (2018) Incorporating Chinese radicals into neural machine translation: deeper Than character level. In: 30th European Summer School in Logic, Language and Information (ESSLLI 2018), 6-17 Aug 2018, Sofia, Bulgaria. (2018)
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27	Findings of the 2018 Conference on Machine Translation (WMT18)
	Federmann, Christian; Bojar, Ondřej; Graham, Yvette...
	In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Federmann, Christian, Fishel, Mark, Graham, Yvette and Haddow, Barry (2018) Findings of the 2018 Conference on Machine Translation (WMT18). In: Third Conference on Machine Translation, 31 Oct- 1 Nov 2018, Brussels, Belgium. (2018)
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28	Apply Chinese radicals Into neural machine translation/ deeper than character level
	Han, Lifeng
	In: Han, Lifeng orcid:0000-0002-3221-2185 (2018) Apply Chinese radicals Into neural machine translation/ deeper than character level. In: LPRC 2018: Limerick Postgraduate Research Conference, 24 May 2018, Limerick, Ireland. (2018)
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29	Attaining the unattainable? Reassessing claims of human parity in neural machine translation
	Toral, Antonio; Hu, Ke; Way, Andy...
	In: Toral, Antonio orcid:0000-0003-2357-2960 , Castilho, Sheila orcid:0000-0002-8416-6555 , Hu, Ke and Way, Andy orcid:0000-0001-5736-5930 (2018) Attaining the unattainable? Reassessing claims of human parity in neural machine translation. In: Third Conference on Machine Translation (WMT), 31 Oct- 1 Nov 2018, Brussels, Belgium. ISBN 978-1-948087-81-0 (2018)
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30	Multi-level structured self-attentions for distantly supervised relation extraction
	Wan, Dadong; Du, Jinhua; Way, Andy...
	In: Du, Jinhua orcid:0000-0002-3267-4881 , Han, Jingguang, Way, Andy orcid:0000-0001-5736-5930 and Wan, Dadong (2018) Multi-level structured self-attentions for distantly supervised relation extraction. In: 2018 Conference on Empirical Methods in Natural Language Processing, 31 Oct - 4 Nov 2018, Brussels, Belgium. (2018)
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31	Findings of the 2018 conference on machine translation (WMT18)
	Federmann, Christian; Koehn, Philipp; Monz, Christof...
	In: Bojar, Ondřej orcid:0000-0002-0606-0050 , Federmann, Christian, Fishel, Mark, Graham, Yvette, Haddow, Barry, Huck, Matthias, Koehn, Philipp and Monz, Christof (2018) Findings of the 2018 conference on machine translation (WMT18). In: Third Conference on Machine Translation, Volume 2: Shared Task Papers, 31 Oct - 1 Nov 2018, Brussels, Belgium. (2018)
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32	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)
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33	Machine Translation of Arabic Dialects
	Salloum, Wael Sameer. - 2018
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34	La traducció automàtica amb postedició en una UE multilingüe: el cas del català
	Santanach Sabatés, Laia. - : Universitat Oberta de Catalunya, 2018
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35	Machine Translation of Arabic Dialects ...
	Salloum, Wael Sameer. - : Columbia University, 2018
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36	Machine-translation inspired reordering as preprocessing for cross-lingual sentiment analysis
	Ramírez Atrio, Alejandro. - 2018
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37	La traducció automàtica amb postedició en una UE multilingüe: el cas del català
	Santanach Sabatés, Laia. - : Universitat Oberta de Catalunya, 2018
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