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Learning translations via images with a massively multilingual image dataset
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Losing Shahrazad: A Distant Reading of 1001 Nights
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In: Senior Projects Spring 2018 (2018)
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Bangime: Secret Language, Language Isolate, or Language Island?
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In: https://hal.archives-ouvertes.fr/hal-01867003 ; 2018 (2018)
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A database of German definitory contexts from selected web sources
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In: 11th International Conference on Language Resources and Evaluation (LREC 2018) ; https://hal.archives-ouvertes.fr/hal-01798704 ; 11th International Conference on Language Resources and Evaluation (LREC 2018), May 2018, Miyazaki, Japan. pp.3068-3073 (2018)
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Deep interactive text prediction and quality estimation in translation interfaces
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In: Hokamp, Christopher M. (2018) Deep interactive text prediction and quality estimation in translation interfaces. PhD thesis, Dublin City University. (2018)
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Machine translation evaluation resources and methods: a survey
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In: Han, Lifeng orcid:0000-0002-3221-2185 (2018) Machine translation evaluation resources and methods: a survey. In: IPRC- Irish Postgraduate Research Conference, 8-9 Nov 2018, Dublin, Ireland. (2018)
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Semantic reranking of CRF label sequences for verbal multiword expression identification
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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)
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Unlocking cultural conceptualisation in indigenous language resources: collaborative computing methodologies
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In: Dorn, Amelie, Wandl-Vogt, Eveline orcid:0000-0002-0802-0255 , Abgaz, Yalemisew orcid:0000-0002-3887-5342 , Benito Santos, Alejandro orcid:0000-0001-5317-6390 and Therón, Roberto orcid:0000-0001-6739-8875 (2018) Unlocking cultural conceptualisation in indigenous language resources: collaborative computing methodologies. In: 11th Language Resources and Evaluation Conference, 7-12 May 2018, Miyazaki, Japan. ISBN 979-10-95546-22-1 (2018)
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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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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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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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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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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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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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Abstract:
Conference Presentation: In neural machine translation (NMT), researchers face the challenge of un-seen (or out-of-vocabulary OOV) words translation. To solve this, some researchers propose the splitting of western languages such as English and German into sub-words or compounds. In this paper, we try to address this OOV issue and improve the NMT adequacy with a harder language Chinese whose characters are even more sophisticated in composition. We integrate the Chinese radicals into the NMT model with different settings to address the unseen words challenge in Chinese to English translation. On the other hand, this also can be considered as semantic part of the MT system since the Chinese radicals usually carry the essential meaning of the words they are constructed in. Meaningful radicals and new characters can be integrated into the NMT systems with our models. We use an attention-based NMT system as a strong baseline system. The experiments on standard Chinese-to-English NIST translation shared task data 2006 and 2008 show that our designed models outperform the baseline model in a wide range of state-of-the-art evaluation metrics including LEPOR, BEER, and CharacTER, in addition to the traditional BLEU and NIST scores, especially on the adequacy-level translation. We also have some interesting findings from the results of our various experiment settings about the performance of words and characters in Chinese NMT, which is different with other languages. For instance, the full character level NMT may perform very well or the state of the art in some other languages as researchers demonstrated recently, however, in the Chinese NMT model, word boundary knowledge is important for the model learning.
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Keyword:
Artificial intelligence; Chinese Language Processing; Computational linguistics; Computer software; Information technology; Linguistic Aware MT; Machine learning; Machine translating; Mathematical models; Neural Machine Translation; Neural Models; Translation Quality Evaluation
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URL: http://doras.dcu.ie/26279/
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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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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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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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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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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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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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