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1
Normalization of shorthand forms in French text messages using word embedding and machine translation
In: Parallel corpora for contrastive and translation studies. - Amsterdam : John Benjamins (2019), 281-297
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2
An Introduction to Complex Systems: Making Sense of a Changing World
In: Faculty Books (2019)
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3
Should we use movie subtitles to study linguistic patterns of conversational speech? A study based on French, English and Taiwan Mandarin
In: Third International Symposium on Linguitic Patters of Spontaneous Speech ; https://hal.archives-ouvertes.fr/hal-02385689 ; Third International Symposium on Linguitic Patters of Spontaneous Speech, Nov 2019, Taipei, Taiwan ; http://lpss2019.ling.sinica.edu.tw/ (2019)
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4
Segmentability Differences Between Child-Directed and Adult-Directed Speech: A Systematic Test With an Ecologically Valid Corpus
In: EISSN: 2470-2986 ; Open Mind ; https://hal.archives-ouvertes.fr/hal-02274050 ; Open Mind, MIT Press, 2019, 3, pp.13-22. ⟨10.1162/opmi_a_00022⟩ (2019)
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5
A computational account of virtual travelers in the Montagovian generative lexicon
In: The Semantics of Dynamic Space in French ; https://hal.archives-ouvertes.fr/hal-02093536 ; Michel Aurnague; Dejan Stosic. The Semantics of Dynamic Space in French, John Benjamins, pp.407-450, 2019, Part IV. Formal and computational aspects of motion-based narrations, 9789027203205. ⟨10.1075/hcp.66.09lef⟩ ; https://benjamins.com/catalog/hcp.66.09lef (2019)
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6
Towards TreeLex++: Syntactico-Semantic Lexical Resource for French
In: Language & Technology Conference ; https://hal.archives-ouvertes.fr/hal-02120183 ; Language & Technology Conference, May 2019, Poznan, Poland (2019)
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7
Cross-lingual parsing with polyglot training and multi-treebank learning: a Faroese case study
In: Barry, James orcid:0000-0003-3051-585X , Wagner, Joachim orcid:0000-0002-8290-3849 and Foster, Jennifer orcid:0000-0002-7789-4853 (2019) Cross-lingual parsing with polyglot training and multi-treebank learning: a Faroese case study. In: The 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019), 3 - 5 Nov 2019, Hong Kong, China. ISBN 978-1-950737-78-9 (2019)
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8
Selecting artificially-generated sentences for fine-tuning neural machine translation
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)
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9
Automatic error classification with multiple error labels
In: Popović, Maja orcid:0000-0001-8234-8745 and Vilar, David (2019) Automatic error classification with multiple error labels. In: MT Summit XVII, 19 - 23 Aug 2019, Dublin, Ireland. (2019)
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10
Combining SMT and NMT back-translated data for efficient NMT
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)
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11
Transductive data-selection algorithms for fine-tuning neural machine translation
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)
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12
Investigating backtranslation for the improvement of English-Irish machine translation
In: Dowling, Meghan orcid:0000-0003-1637-4923 , Lynn, Teresa and Way, Andy orcid:0000-0001-5736-5930 (2019) Investigating backtranslation for the improvement of English-Irish machine translation. Teanga, 26 . pp. 1-25. ISSN 0332-205X (2019)
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13
Predicting students' academic performance and main behavioral features using data mining techniques
In: Almutairi, Suad, Shaiba, Hadil and Bezbradica, Marija orcid:0000-0001-9366-5113 (2019) Predicting students' academic performance and main behavioral features using data mining techniques. In: Advances in Data Science, Cyber Security and IT Applications. ICC 2019., 10-12 Dec 2019, Riyadh, Saudi Arabia. ISBN 978-3-030-36364-2 (2019)
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14
What is the impact of raw MT on Japanese users of Word preliminary results of a usability study using eye-tracking
In: Guerberof Arenas, Ana orcid:0000-0001-9820-7074 , Moorkens, Joss orcid:0000-0003-4864-5986 and O'Brien, Sharon orcid:0000-0003-4864-5986 (2019) What is the impact of raw MT on Japanese users of Word preliminary results of a usability study using eye-tracking. In: XVII Machine Translation Summit, 19-23 Aug 2019, Dublin, Ireland. (In Press) (2019)
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15
Learning to Parse Grounded Language using Reservoir Computing
In: ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics ; https://hal.inria.fr/hal-02422157 ; ICDL-Epirob 2019 - Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics, Aug 2019, Olso, Norway. ⟨10.1109/devlrn.2019.8850718⟩ ; https://ieeexplore.ieee.org/abstract/document/8850718 (2019)
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16
Phonetic lessons from automatic phonemic transcription: preliminary reflections on Na (Sino-Tibetan) and Tsuut’ina (Dene) data
In: ICPhS XIX (19th International Congress of Phonetic Sciences) ; https://halshs.archives-ouvertes.fr/halshs-02059313 ; ICPhS XIX (19th International Congress of Phonetic Sciences), Aug 2019, Melbourne, Australia ; https://icphs2019.org/icphs2019-fullpapers/ (2019)
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17
Willkommenskultur: A Computational and Socio-linguistic Study of Modern German Discourse on Migrant Populations
In: Hartnett, Sabina. (2019). Willkommenskultur: A Computational and Socio-linguistic Study of Modern German Discourse on Migrant Populations. Transit, 12(1). Retrieved from: http://www.escholarship.org/uc/item/1x84x67r (2019)
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18
COMPARING SOLUTIONS TO THE LINKING PROBLEM USING AN INTEGRATED QUANTITATIVE FRAMEWORK OF LANGUAGE ACQUISITION
In: LANGUAGE, vol 95, iss 4 (2019)
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19
Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing
In: ISSN: 0891-2017 ; EISSN: 1530-9312 ; Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-02425462 ; Computational Linguistics, Massachusetts Institute of Technology Press (MIT Press), 2019, 45 (3), pp.559-601. ⟨10.1162/coli_a_00357⟩ ; https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00357 (2019)
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20
Modelling the Semantic Change Dynamics using Diachronic Word Embedding
In: 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session) ; https://hal.archives-ouvertes.fr/hal-02048377 ; 11th International Conference on Agents and Artificial Intelligence (NLPinAI Special Session), Feb 2019, Prague, Czech Republic (2019)
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