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HLT-mt news
Three papers accepted at CLIC-IT 2017
“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
Presentation accepted at METM-17
"MMT: New Machine Translation Technology for CAT Tools"
Luisa Bentivogli, Marcello Federico
Paper accepted at WMT 2017
"Guiding Neural Machine Translation Decoding with External Knowledge"
Rajen Chatterjee, Matteo Negri, Marco Turchi, Marcello Federico, Lucia Specia, and Frédéric Blain
Three papers accepted at EAMT 2017
"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
Josè Camargo de Souza won the "EAMT Best Thesis Award 2017"
Title of the thesis: "Adaptive Quality Estimation for Machine Translation and Automatic Speech Recognition"
Advisor: Matteo Negri
Co-advisors: Marco Turchi and Marcello Federico
New publication in Machine Translation Journal
Automatic Translation Memory Cleaning
Matteo Negri, Duygu Ataman, Masoud Jalili Sabet, Marco Turchi, Marcello Federico
Short Paper accepted at EACL 2017
Neural vs. Phrase-Based Machine Translation in Multi-Domain Scenario
M. Amin Farajian, Marco Turchi, Matteo Negri, Nicola Bertoldi and Marcello Federico
Paper published in Machine Translation Journal
The first Automatic Translation Memory Cleaning Shared Task
Eduard Barbu, Carla Parra Escartín, Luisa Bentivogli, Matteo Negri, Marco Turchi, Constantin Orasan, Marcello Federico
Long Paper accepted at EACL 2017
Online Automatic Post-editing for MT in a Multi-Domain Translation Environment
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri and Marco Turchi
Paper published in Computer Speech & Language Journal
DNN adaptation by automatic quality estimation of ASR hypotheses
Daniele Falavigna, Marco Matassoni, Shahab Jalalvand, Matteo Negri, Marco Turchi
Presentation at Translating Europe Forum 2016
"Context-adaptive Machine Translation system"
Marcello Federico
Paper accepted in LRE Journal
Creating a Ground Truth Multilingual Dataset of News and Talk-Show Transcriptions through Crowdsourcing
Rachele Sprugnoli, Giovanni Moretti, Luisa Bentivogli, Diego Giuliani
Paper accepted at CLiC-it 2016
Online Automatic Post-Editing across Domains
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri, Marco Turchi
Paper accepted at AMTA 2016 Worshop on Semitic Machine Translation (SeMaT)
An Arabic-Hebrew parallel corpus of TED talks
Mauro Cettolo
Presentation at AMTA 2016 Commercial Users Track
Machine Translation Adaptation from Translation Memories in ModernMT
Marcello Federico
Paper accepted at AMTA 2016
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario
Rajen Chatterjee, Mihael Arcan, Matteo Negri and Marco Turchi
Long paper accepted at EMNLP 2016
Neural versus Phrase-Based Machine Translation Quality: a Case Study
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo and Marcello Federico
Release of the WAGS dataset
WAGS, the English/Italian Word Alignment Gold Standard has been released. You can download it here
Language EnglishTwo demo papers accepted at ACL 2016
TMOP: A TOOL FOR UNSUPERVISED TRANSLATION MEMORY CLEANING
Masoud Jalili Sabet, Matteo Negri, Marco Turchi, José G. C. de Souza and Marcello Federico
TRANSCRATER: A TOOL FOR AUTOMATIC SPEECH RECOGNITION QUALITY ESTIMATION
Shahab Jalalvand, Matteo Negri, Marco Turchi, José G. C. de Souza and Falavigna Daniele
Poster presentation at EAMT 2016
"Modern MT: A New Open-Source Machine Translation Platform for the Translation Industry"
U. Germann, E. Barbu, L. Bentivogli, N. Bertoldi, N. Bogoychev, C. Buck, D. Caroselli, L. Carvalho, A. Cattelan, R. Cattoni, M. Cettolo, M. Federico, B. Haddow, D. Madl, L. Mastrostefano, P. Mathur, A. Ruopp, A. Samiotou, V. Sudharshan, M. Trombetti, J. van der Meer
