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Publication search results
found 29 matches
- 2017
- Duygu Ataman, Matteo Negri, Marco Turchi, Marcello Federico:
Linguistically Motivated Vocabulary Reduction for Neural Machine Translation from Turkish to English. Prague Bull. Math. Linguistics 108: 331-342 (2017) - Eleftherios Avramidis:
Comparative Quality Estimation for Machine Translation Observations on Machine Learning and Features. Prague Bull. Math. Linguistics 108: 307-318 (2017) - Parnia Bahar, Tamer Alkhouli, Jan-Thorsten Peter, Christopher Brix, Hermann Ney:
Empirical Investigation of Optimization Algorithms in Neural Machine Translation. Prague Bull. Math. Linguistics 108: 13-26 (2017) - 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. Prague Bull. Math. Linguistics 108: 159-170 (2017) - Franck Burlot, François Yvon:
Learning Morphological Normalization for Translation from and into Morphologically Rich Languages. Prague Bull. Math. Linguistics 108: 49-60 (2017) - Sheila Castilho, Joss Moorkens, Federico Gaspari, Iacer Calixto, John Tinsley, Andy Way:
Is Neural Machine Translation the New State of the Art? Prague Bull. Math. Linguistics 108: 109-120 (2017) - Praveen Dakwale, Christof Monz:
Convolutional over Recurrent Encoder for Neural Machine Translation. Prague Bull. Math. Linguistics 108: 37-48 (2017) - Miguel Domingo, Mara Chinea-Rios, Francisco Casacuberta:
Historical Documents Modernization. Prague Bull. Math. Linguistics 108: 295-306 (2017) - Jinhua Du, Andy Way:
Pre-Reordering for Neural Machine Translation: Helpful or Harmful? Prague Bull. Math. Linguistics 108: 171-182 (2017) - Carla Parra Escartín, Hanna Béchara, Constantin Orasan:
Questing for Quality Estimation A User Study. Prague Bull. Math. Linguistics 108: 343-354 (2017) - Mikel L. Forcada, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Lucia Specia:
Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful? Prague Bull. Math. Linguistics 108: 183-196 (2017) - Eva Martínez Garcia, Carles Creus, Cristina España-Bonet, Lluís Màrquez:
Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation. Prague Bull. Math. Linguistics 108: 85-96 (2017) - Filip Klubicka, Antonio Toral, Víctor M. Sánchez-Cartagena:
Fine-Grained Human Evaluation of Neural Versus Phrase-Based Machine Translation. Prague Bull. Math. Linguistics 108: 121-132 (2017) - Chiraag Lala, Pranava Madhyastha, Josiah Wang, Lucia Specia:
Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation. Prague Bull. Math. Linguistics 108: 197-208 (2017) - Pintu Lohar, Haithem Afli, Andy Way:
Maintaining Sentiment Polarity in Translation of User-Generated Content. Prague Bull. Math. Linguistics 108: 73-84 (2017) - Rei Miyata, Anthony Hartley, Kyo Kageura, Cécile Paris:
Evaluating the Usability of a Controlled Language Authoring Assistant. Prague Bull. Math. Linguistics 108: 147-158 (2017) - Peyman Passban, Qun Liu, Andy Way:
Providing Morphological Information for SMT Using Neural Networks. Prague Bull. Math. Linguistics 108: 271-282 (2017) - Álvaro Peris, Mara Chinea-Rios, Francisco Casacuberta:
Neural Networks Classifier for Data Selection in Statistical Machine Translation. Prague Bull. Math. Linguistics 108: 283-294 (2017) - Jan-Thorsten Peter, Arne Nix, Hermann Ney:
Generating Alignments Using Target Foresight in Attention-Based Neural Machine Translation. Prague Bull. Math. Linguistics 108: 27-36 (2017) - Alberto Poncelas, Gideon Maillette de Buy Wenniger, Andy Way:
Applying N-gram Alignment Entropy to Improve Feature Decay Algorithms. Prague Bull. Math. Linguistics 108: 245-256 (2017) - Maja Popovic:
Comparing Language Related Issues for NMT and PBMT between German and English. Prague Bull. Math. Linguistics 108: 209-220 (2017) - Anita Ramm, Riccardo Superbo, Dimitar Sht. Shterionov, Tony O'Dowd, Alexander M. Fraser:
Integration of a Multilingual Preordering Component into a Commercial SMT Platform. Prague Bull. Math. Linguistics 108: 61-72 (2017) - Vinit Ravishankar:
Finite-State Back-Transliteration for Marathi. Prague Bull. Math. Linguistics 108: 319-330 (2017) - Ankit Srivastava, Georg Rehm, Felix Sasaki:
Improving Machine Translation through Linked Data. Prague Bull. Math. Linguistics 108: 355-366 (2017) - Arda Tezcan, Véronique Hoste, Lieve Macken:
A Neural Network Architecture for Detecting Grammatical Errors in Statistical Machine Translation. Prague Bull. Math. Linguistics 108: 133-146 (2017) - 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. Prague Bull. Math. Linguistics 108: 97-108 (2017) - Marco Turchi, Matteo Negri, M. Amin Farajian, Marcello Federico:
Continuous Learning from Human Post-Edits for Neural Machine Translation. Prague Bull. Math. Linguistics 108: 233-244 (2017) - Francis M. Tyers, Hèctor Alòs i Font, Gianfranco Fronteddu, Adrià Martín-Mor:
Rule-Based Machine Translation for the Italian-Sardinian Language Pair. Prague Bull. Math. Linguistics 108: 221-232 (2017) - Nasser Zalmout, Nizar Habash:
Optimizing Tokenization Choice for Machine Translation across Multiple Target Languages. Prague Bull. Math. Linguistics 108: 257-270 (2017)
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