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“Can Monolingual Embeddings Improve Neural Machine Translation?”
M.A. Di Gangi, M. Federico

“M. Multilingual Neural Machine Translation for Low Resource Languages”
S.M. Lakew, M.A. Di Gangi, M. ​Federico

"Enhancing Machine Translation of Academic Course Catalogues with Terminological Resources"
R. Scansani, M. Federico


"Guiding Neural Machine Translation Decoding with External Knowledge"
Rajen Chatterjee, Matteo Negri, Marco Turchi, Marcello Federico, Lucia Specia, and Frédéric Blain

"Multi-Domain Neural Machine Translation through Unsupervised Adaptation"
M. Amin Farajian, Marco Turchi, Matteo Negri, Marcello Federico


"MMT: New Machine Translation Technology for CAT Tools"
Luisa Bentivogli, Marcello Federico


"Continuous Learning from Human Post-edits for Neural Machine Translation"
Marco Turchi, Matteo Negri, Amin Farajian and Marcello Federico

"Linguistically Motivated Vocabulary Reduction for Neural Machine Translation"
Duygu Ataman, Matteo Negri, Marco Turchi and Marcello Federico

"MMT: New Open Source MT for the Translation Industry"
Nicola Bertoldi, Roldano Cattoni, Mauro Cettolo, Amin Farajian, Marcello Federico, Davide Caroselli, Luca Mastrostefano, Andrea Rossi, Marco Trombetti, Ulrich Germann, David Madl


Title of the thesis: "Adaptive Quality Estimation for Machine Translation and Automatic Speech Recognition"
Advisor: Matteo Negri
Co-advisors: Marco Turchi and Marcello Federico


Automatic Translation Memory Cleaning
Matteo Negri, Duygu Ataman, Masoud Jalili Sabet, Marco Turchi, Marcello Federico


Neural vs. Phrase-Based Machine Translation in Multi-Domain Scenario
M. Amin Farajian, Marco Turchi, Matteo Negri, Nicola Bertoldi and Marcello Federico


The first Automatic Translation Memory Cleaning Shared Task
Eduard Barbu, Carla Parra Escartín, Luisa Bentivogli, Matteo Negri, Marco Turchi, Constantin Orasan, Marcello Federico


Online Automatic Post-editing for MT in a Multi-Domain Translation Environment
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri and Marco Turchi


DNN adaptation by automatic quality estimation of ASR hypotheses
Daniele Falavigna, Marco Matassoni, Shahab Jalalvand, Matteo Negri, Marco Turchi