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Translating pro-drop languages with reconstruction models
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In: Wang, Longyue orcid:0000-0002-9062-6183 , Tu, Zhaopeng, Shi, Shuming, Zhang, Tong, Graham, Yvette and Liu, Qun orcid:0000-0002-7000-1792 (2018) Translating pro-drop languages with reconstruction models. In: 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), 2 - 7 Feb 2018, New Orleans, LA, USA. ISBN 978-1-57735-800-8 (2018)
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Abstract:
Pronouns are frequently omitted in pro-drop languages, such as Chinese, generally leading to significant challenges with respect to the production of complete translations. To date, very little attention has been paid to the dropped pronoun (DP) problem within neural machine translation (NMT). In this work, we propose a novel reconstruction-based approach to alleviating DP translation problems for NMT models. Firstly, DPs within all source sentences are automatically annotated with parallel information extracted from the bilingual training corpus. Next, the annotated source sentence is reconstructed from hidden representations in the NMT model. With auxiliary training objectives, in the terms of reconstruction scores, the parameters associated with the NMT model are guided to produce enhanced hidden representations that are encouraged as much as possible to embed annotated DP information. Experimental results on both Chinese-English and Japanese-English dialogue translation tasks show that the proposed approach significantly and consistently improves translation performance over a strong NMT baseline, which is directly built on the training data annotated with DPs.
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Keyword:
Artificial intelligence; Computational linguistics; Dialogue; Dropped Pronoun; Neural Machine Translation; Pro-Drop Language; Reconstruction Model
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URL: http://doras.dcu.ie/23122/
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22 |
Promoting user engagement and learning in search tasks by effective document representation
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Arora, Piyush. - : Dublin City University. School of Computing, 2018. : Dublin City University. ADAPT, 2018
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In: Arora, Piyush orcid:0000-0002-4261-2860 (2018) Promoting user engagement and learning in search tasks by effective document representation. PhD thesis, Dublin City University. (2018)
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23 |
Incorporating Chinese radicals into neural machine translation: deeper than character level
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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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24 |
Evaluation of automatic video captioning using direct assessment
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In: Graham, Yvette, Awad, George M. and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2018) Evaluation of automatic video captioning using direct assessment. PLoS One . ISSN 1932-6203 (2018)
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25 |
Incorporating Chinese radicals into neural machine translation: deeper Than character level
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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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26 |
Apply Chinese radicals Into neural machine translation/ deeper than character level
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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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27 |
Learning to represent, categorise and rank in community question answering
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In: Bogdanova, Daria (2018) Learning to represent, categorise and rank in community question answering. PhD thesis, Dublin City University. (2018)
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28 |
The balance between quantitative and qualitative literary stylistics: How the method of "motifs" can help
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In: The Grammar of Genres and styles ; https://hal.archives-ouvertes.fr/hal-03546266 ; Legallois, Charnois, Larjavaara. The Grammar of Genres and styles, De Gruyter Mouton, 2018, 9783110589689. ⟨10.1515/9783110595864-008⟩ ; https://www-degruyter-com.ezproxy.univ-paris3.fr/document/doi/10.1515/9783110595864/html (2018)
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29 |
Categorial Proof Nets and Dependency Locality: A New Metric for Linguistic Complexity
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In: Symposium on Logic and Algorithms in Computational Linguistics ; LACompLing: Logic and Algorithms in Computational Linguistics ; https://hal-lirmm.ccsd.cnrs.fr/lirmm-01916104 ; LACompLing: Logic and Algorithms in Computational Linguistics, Aug 2018, Stockholm, Sweden. pp.73-86 ; http://staff.math.su.se/rloukanova/LACompLing2018-web/ (2018)
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30 |
Cognitive science in the era of artificial intelligence: A roadmap for reverse-engineering the infant language-learner
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In: ISSN: 0010-0277 ; EISSN: 1873-7838 ; Cognition ; https://hal.archives-ouvertes.fr/hal-01888694 ; Cognition, Elsevier, 2018, 173, pp.43 - 59. ⟨10.1016/j.cognition.2017.11.008⟩ (2018)
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31 |
Explainable, Trustable and Emphatic Artificial Intelligence from Formal Argumentation Theory to Argumentation for Humans
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In: https://hal.archives-ouvertes.fr/tel-01973555 ; Computer science. UNIVERSITÉ CÔTE D’AZUR, 2018 (2018)
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32 |
Cohort effects and asymmetrical word-level sound change
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In: Brendel, Christian Douglas. (2018). Cohort effects and asymmetrical word-level sound change. 0035: Linguistics. Retrieved from: http://www.escholarship.org/uc/item/9489q3fj (2018)
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33 |
Modeling Events and Affects in Social Media Stories
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In: Rahimtoroghi, Elahe. (2018). Modeling Events and Affects in Social Media Stories. UC Santa Cruz: Computer Science. Retrieved from: http://www.escholarship.org/uc/item/6tk1758v (2018)
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34 |
An Algorithm for Learning Phonological Classes from Distributional Similarity
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In: Mayer, Connor. (2018). An Algorithm for Learning Phonological Classes from Distributional Similarity. UCLA: Linguistics 0510. Retrieved from: http://www.escholarship.org/uc/item/5jp6q2xn (2018)
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35 |
Separation and acquisition of two languages in early childhood : a multidisciplinary approach ; Séparation et acquisition de deux langues chez le jeune enfant : une approche pluridisciplinaire
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In: https://tel.archives-ouvertes.fr/tel-03394824 ; Cognitive Sciences. Université Paris sciences et lettres, 2018. English. ⟨NNT : 2018PSLEE081⟩ (2018)
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37 |
Prosodic and Pragmatic Values of Discourse Particles in French
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In: ExLing 2018 - 9th Tutorial and Research Workshop on Experimental Linguistics ; https://hal.inria.fr/hal-01889925 ; ExLing 2018 - 9th Tutorial and Research Workshop on Experimental Linguistics, Aug 2018, Paris, France (2018)
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38 |
Language, Cognition, and Computational Models
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In: https://hal.archives-ouvertes.fr/hal-01722351 ; Cambridge University Press, 2018 ; https://www.cambridge.org/core/books/language-cognition-and-computational-models/90CC7DBA6CADB1FE361266D311CB4413 (2018)
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39 |
Cognifying Model-Driven Software Engineering
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In: Software Technologies: Applications and Foundations ; https://hal-cea.archives-ouvertes.fr/cea-02572650 ; Software Technologies: Applications and Foundations, pp.154-160, 2018, ⟨10.1007/978-3-319-74730-9_13⟩ (2018)
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Boost your eHumanities and eHeritage research with Research Infrastructures (PARTHENOS Webinar)
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In: https://hal.archives-ouvertes.fr/cel-01784097 ; 3rd cycle. Germany. 2018 (2018)
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