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ORCIDThe Prague Bulletin of Mathematical Linguistics, Volume 108
Volume 108, June 2017
- Parnia Bahar, Tamer Alkhouli, Jan-Thorsten Peter, Christopher Brix, Hermann Ney:
Empirical Investigation of Optimization Algorithms in Neural Machine Translation. 13-26 - Jan-Thorsten Peter, Arne Nix, Hermann Ney:
Generating Alignments Using Target Foresight in Attention-Based Neural Machine Translation. 27-36 - Praveen Dakwale, Christof Monz:
Convolutional over Recurrent Encoder for Neural Machine Translation. 37-48 - Franck Burlot, François Yvon:
Learning Morphological Normalization for Translation from and into Morphologically Rich Languages. 49-60 - Anita Ramm, Riccardo Superbo, Dimitar Sht. Shterionov, Tony O'Dowd, Alexander M. Fraser:
Integration of a Multilingual Preordering Component into a Commercial SMT Platform. 61-72 - Pintu Lohar, Haithem Afli, Andy Way:
Maintaining Sentiment Polarity in Translation of User-Generated Content. 73-84 - Eva Martínez Garcia, Carles Creus, Cristina España-Bonet, Lluís Màrquez:
Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation. 85-96 - Daniel Torregrosa, Juan Antonio Pérez-Ortiz
, Mikel L. Forcada:
Comparative Human and Automatic Evaluation of Glass-Box and Black-Box Approaches to Interactive Translation Prediction. 97-108 - Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley, Andy Way:
Is Neural Machine Translation the New State of the Art? 109-120 - Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation. 121-132 - Arda Tezcan, Véronique Hoste, Lieve Macken:
A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation. 133-146 - Rei Miyata, Anthony Hartley, Kyo Kageura, Cécile Paris:
Evaluating the Usability of a Controlled Language Authoring Assistant. 147-158 - Aljoscha Burchardt, Vivien Macketanz, Jon Dehdari, Georg Heigold, Jan-Thorsten Peter, Philip Williams:
A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines. 159-170 - Jinhua Du, Andy Way:
Pre-Reordering for Neural Machine Translation: Helpful or Harmful? 171-182 - Mikel L. Forcada, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Lucia Specia:
Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful? 183-196 - Chiraag Lala, Pranava Madhyastha, Josiah Wang, Lucia Specia:
Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation. 197-208 - Maja Popovic:
Comparing Language Related Issues for NMT and PBMT between German and English. 209-220 - Francis M. Tyers, Hèctor Alòs i Font, Gianfranco Fronteddu, Adrià Martín-Mor:
Rule-Based Machine Translation for the Italian-Sardinian Language Pair. 221-232 - Marco Turchi, Matteo Negri, M. Amin Farajian, Marcello Federico:
Continuous Learning from Human Post-Edits for Neural Machine Translation. 233-244 - Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way:
Applying N-gram Alignment Entropy to Improve Feature Decay Algorithms. 245-256 - Nasser Zalmout, Nizar Habash:
Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages. 257-270 - Peyman Passban, Qun Liu, Andy Way:
Providing Morphological Information for SMT Using Neural Networks. 271-282 - Álvaro Peris, Mara Chinea-Rios, Francisco Casacuberta:
Neural Networks Classifier for Data Selection in Statistical Machine Translation. 283-294 - Miguel Domingo, Mara Chinea-Rios, Francisco Casacuberta:
Historical Documents Modernization. 295-306 - Eleftherios Avramidis:
Comparative Quality Estimation for Machine Translation Observations on Machine Learning and Features. 307-318 - Vinit Ravishankar:
Finite-State Back-Transliteration for Marathi. 319-330 - Duygu Ataman, Matteo Negri, Marco Turchi, Marcello Federico:
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English. 331-342 - Carla Parra Escartín, Hanna Béchara, Constantin Orasan:
Questing for Quality Estimation A User Study. 343-354 - Ankit Srivastava, Georg Rehm, Felix Sasaki:
Improving Machine Translation through Linked Data. 355-366
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