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Going beyond the sentence : Contextual Machine Translation of Dialogue ; Au-delà de la phrase : traduction automatique de dialogue en contexte
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In: https://tel.archives-ouvertes.fr/tel-02004683 ; Computation and Language [cs.CL]. Université Paris Saclay (COmUE), 2018. English. ⟨NNT : 2018SACLS524⟩ (2018)
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Factored neural machine translation ; Traduction automatique neuronale factorisée
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In: https://tel.archives-ouvertes.fr/tel-01870448 ; Computer science. Le Mans Université, 2018. English. ⟨NNT : 2018LEMA1002⟩ (2018)
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Hiligaynon – Cebuano Sentence Translator using Recurrent Neural Networks ...
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144 |
Hiligaynon – Cebuano Sentence Translator using Recurrent Neural Networks ...
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145 |
Czech image captioning, machine translation, and sentiment analysis (Neural Monkey models)
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147 |
Quantitative Fine-grained Human Evaluation of Machine Translation Systems: a Case Study on English to Croatian
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In: Articles (2018)
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INCREMENTAL PREDICTION OF SENTENCE-FINAL VERBS WITH ATTENTIVE RECURRENT NEURAL NETWORKS ...
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LI, Wenyan. - : Digital Repository at the University of Maryland, 2018
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How Many Ways Can Google Translate Say It?: Synonym Use in Neural Machine Translation Output
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Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT
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Saunders, Danielle; Stahlberg, Felix; De Gispert, Adrià. - : Association for Computational Linguistics, 2018. : https://aclanthology.info/volumes/proceedings-of-the-56th-annual-meeting-of-the-association-for-computational-linguistics-volume-2-short-papers, 2018. : Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2018
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Entity-based coherence in statistical machine translation: a modelling and evaluation perspective
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Огляд методів обробки та аналізу текстів на природних мовах ; Методы обработки и анализа текстов на природных языках ; Methods of text`s processing and analysis in natural languages
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In: Information and control systems at railway transport; № 6 (2018): ; 26-32 ; Информационно-управляющие системы на железнодорожном транспорте; № 6 (2018): ; Інформаційно-керуючі системи на залізничному транспорті; № 6 (2018): Інформаційно-керуючі системи на залізничному транспорті; 26-32 ; 2413-3833 ; 1681-4886 (2018)
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Syntactic and semantic features for statistical and neural machine translation
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Supervised OCR Error Detection and Correction Using Statistical and Neural Machine Translation Methods
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In: Amrhein, Chantal; Clematide, Simon (2018). Supervised OCR Error Detection and Correction Using Statistical and Neural Machine Translation Methods. Journal for Language Technology and Computational Linguistics (JLCL), 33(1):49-76. (2018)
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A Generative-Discriminative Framework for Title Generation in the E-commerce Domain
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Learning and time : on using memory and curricula for language understanding
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The MLLP-UPV German-English Machine Translation System for WMT18
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NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning
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INCREMENTAL PREDICTION OF SENTENCE-FINAL VERBS WITH ATTENTIVE RECURRENT NEURAL NETWORKS
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Comparison between Neural and Statistical translation after transliteration of Algerian Arabic Dialect
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In: WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017) ; https://hal.archives-ouvertes.fr/hal-01570298 ; WiNLP: Women & Underrepresented Minorities in Natural Language Processing (co-located withACL 2017), Jul 2017, Vancouver, Canada ; http://www.winlp.org/winlp-workshop (2017)
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