MMT
MMT will deliver a language independent commercial online translation service based on a new open-source machine translation distributed architecture
Total Cost €
0EC-Contrib. €
0Partnership
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0MMT project word cloud
Explore the words cloud of the MMT project. It provides you a very rough idea of what is the project "MMT" about.
Project "MMT" data sheet
The following table provides information about the project.
| Coordinator |
TRANSLATED SRL
Organization address contact info |
| Coordinator Country | Italy [IT] |
| Project website | http://www.modernmt.eu/ |
| Total cost | 3˙695˙200 € |
| EC max contribution | 2˙994˙700 € (81%) |
| Programme |
1. H2020-EU.2.1.1.4. (Content technologies and information management: ICT for digital content, cultural and creative industries) |
| Code Call | H2020-ICT-2014-1 |
| Funding Scheme | IA |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-01-01 to 2017-12-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | TRANSLATED SRL | IT (POMEZIA) | coordinator | 1˙004˙500.00 |
| 2 | FONDAZIONE BRUNO KESSLER | IT (TRENTO) | participant | 757˙500.00 |
| 3 | TAUS BV | NL (DE RIJP) | participant | 630˙000.00 |
| 4 | THE UNIVERSITY OF EDINBURGH | UK (EDINBURGH) | participant | 602˙700.00 |
Map
Project objective
The goal of MMT is to deliver a language independent commercial online translation service based on a new open-source machine translation distributed architecture.
MMT does not require any initial training phase. Once fed with training data MMT will be ready to translate. MMT de-facto will merge translation memory and machine translation technology into one single product. Quality of translations will increase as soon as new training data are added.
MMT manages context automatically so that it will not require building domain specific systems. MMT will provide best translation quality for any topic/domain by storing training segments together with context linking information.
MMT enables scalability of data and users so that no more expensive ad-hoc hardware installations are needed. The MMT architecture will support high performance and linear scalability up to thousands of nodes. The same software will work to set-up a personal translation system or to create a web-based service on a cluster of commodity nodes able to handle terabytes of data and millions of users.
MMT will create a data collection infrastructure that accelerates the process of filling the data gap between large IT companies and the MT industry. MMT will leverage the data crawled on the web by Common Crawl, TAUS, Translated’s MyMemory and Matecat data and facilities to set up a processing pipeline that will create unprecedented amounts of clean parallel and monolingual data to develop machine translation systems.
Deliverables
| Open source distribution | Other | 2019-05-30 13:29:06 |
| First Design and Specifications Report | Documents, reports | 2019-05-30 13:29:02 |
| Third Report on Database and MT Infrastructure | Documents, reports | 2019-05-30 12:21:27 |
| First Evaluation Plan Report | Documents, reports | 2019-05-30 12:21:21 |
| First Report on Database and MT Infrastructure | Documents, reports | 2019-05-30 12:21:27 |
| Second Report on Database and MT Infrastructure | Documents, reports | 2019-05-30 12:21:25 |
| Second Design and Specifications Report | Documents, reports | 2019-05-30 12:21:15 |
| First Report on Data Supply | Documents, reports | 2019-05-30 12:21:05 |
| Data Management Plan | Documents, reports | 2019-05-30 12:21:04 |
| Second Report on Data Supply | Documents, reports | 2019-05-30 12:21:16 |
| Second Evaluation Plan Report | Documents, reports | 2019-05-30 12:21:18 |
| Report on Data Repository | Documents, reports | 2019-05-30 12:21:24 |
| Live Integration with TAUS and MyMemory | Other | 2019-05-30 12:21:22 |
| Legal framework for the usage of data collected | Documents, reports | 2019-05-30 13:29:04 |
| First Technology Assessment Report | Documents, reports | 2019-05-30 12:21:22 |
| Open Source Installer, Billion words system with APIs & live interface | Other | 2019-05-30 12:21:14 |
| Second Technology Assessment Report | Documents, reports | 2019-05-30 12:21:13 |
Take a look to the deliverables list in detail: detailed list of MMT deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2017 |
M. Amin Farajian, Marco Turchi, Matteo Negri, Nicola Bertoldi, and Marcello Federico Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario published pages: , ISSN: , DOI: |
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers | 2019-05-30 |
| 2017 |
Surafel Melaku Lakew, Quintino Francesco Lotito, Marco Turchi, Matteo Negri, and Marcello Federico Improving Zero-Shot Translation of Low-Resource Languages published pages: , ISSN: , DOI: |
Proceedings of the 14th International Workshop on Spoken Language Translation | 2019-05-30 |
| 2017 |
Mattia Antonino Di Gangi and Marcello Federico Monolingual Embeddings for Low Resourced Neural Machine Translation published pages: , ISSN: , DOI: |
Proceedings of the 14th International Workshop on Spoken Language Translation | 2019-05-30 |
| 2016 |
A. Ruopp The Reasonable Effectiveness of Data published pages: 123-142, ISSN: , DOI: |
Proceedings of 12th Conference of the Association for Machine Translation in the Americas | 2019-05-30 |
| 2016 |
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 Modern MT: A New Open-Source MachineTranslation Platform for the Translation Industry published pages: 397–397, ISSN: , DOI: |
Baltic Journal of Modern Computing Vol. 4, No. 2 | 2019-05-30 |
| 2016 |
M. J. Sabet, M. Negri, Marco Turchi, E. Barbu An Unsupervised Method for Automatic Translation Memory Cleaning published pages: 287–292, ISSN: , DOI: |
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics August 7-12, 2016 | 2019-05-30 |
| 2017 |
Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, and Philip Williams. The University of Edinburgh\'s Neural MT systems for WMT17 published pages: , ISSN: , DOI: |
Proceedings of the Second Conference on Machine Translation | 2019-05-30 |
| 2017 |
Mattia Antonino Di Gangi, and Marcello Federico Can Monolingual Embeddings Improve Neural Machine Translation? published pages: , ISSN: , DOI: |
Proceedings of the 4th Italian Conference on Computational Linguistics (CLIC-IT) | 2019-05-30 |
| 2016 |
M. J. Sabet, M. Negri, M. Turchi, J. G. C. de Souza, M. Federico TMOP: A Tool for Unsupervised Translation Memory Cleaning published pages: 49-54, ISSN: , DOI: |
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics System Demonstrations, August 7 | 2019-05-30 |
| 2017 |
Surafel Melaku Lakew, Quintino Francesco Lotito, Marco Turchi, Matteo Negri, and Marcello Federico FBK’s Multilingual Neural Machine Translation System for IWSLT 2017 published pages: , ISSN: , DOI: |
Proceedings of the 14th International Workshop on Spoken Language Translation | 2019-05-30 |
| 2017 |
M. A. Farajian, Marco Turchi, Matteo Negri and Marcello Federico Multi-Domain Neural Machine Translation through Unsupervised Adaptation published pages: , ISSN: , DOI: |
Proceedings of the 2nd Conference on Machine Translation (WMT17), Volume 1: Research Papers | 2019-05-30 |
| 2016 |
M. Federico MT Adaptation from TMs in ModernMT published pages: 19-57, ISSN: , DOI: |
Proceedings of 12th Conference of the Association for Machine Translation in the Americas vol. 2: MT Users\' Track | 2019-05-30 |
| 2017 |
Marcin Junczys-Dowmunt, Roman Grundkiewicz An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing published pages: , ISSN: , DOI: |
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers) | 2019-05-30 |
| 2017 |
Rajen Chatterjee, Matteo Negri, Marco Turchi, Marcello Federico, Lucia Specia, and Frédéric Blain Guiding Neural Machine Translation Decoding with External Knowledge published pages: , ISSN: , DOI: |
Proceedings of the 2nd Conference on Machine Translation (WMT17), Volume 1: Research Papers | 2019-05-30 |
| 2016 |
Nikolay Bogoychev and Hieu Hoang Fast and Highly Parallelizable PhraseTable for Statistical Machine Translation published pages: 102–109, ISSN: , DOI: |
Proceedings of the First Conference on Machine Translation Vol. 1 | 2019-05-30 |
| 2017 |
Mattia A. Di Gangi, Nicola Bertoldi and Marcello Federico FBK’s Participation to the English-to-German News Translation Task of WMT 2017 published pages: , ISSN: , DOI: |
Proceedings of the 2nd Conference on Machine Translation (WMT17), Volume 2: Shared Task Papers | 2019-05-30 |
| 2016 |
L. Bentivogli, M. Cettolo, M. A. Farajian, M. Federico WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation of Rare Words published pages: 3535-3542, ISSN: , DOI: |
Proceedings of the 10th Language Resources and Evaluation Conference | 2019-05-30 |
| 2016 |
L. Bentivogli, A. Bisazza, M. Cettolo, M. Federico Neural versus Phrase-Based Machine Translation Quality: a Case Study published pages: 257-267, ISSN: , DOI: |
Proceedings of Conference on Empirical Methods in Natural Language Processing November 1-5, 2016 | 2019-05-30 |
| 2015 |
Ulrich Germann Sampling Phrase Tables for the Moses Statistical Machine Translation System published pages: 39-50, ISSN: 0032-6585, DOI: 10.1515/pralin-2015-0012 |
The Prague Bulletin of Mathematical Linguistics No. 104, October 2015 | 2019-05-30 |
| 2017 |
Matteo Negri, Duygu Ataman, Masoud Jalili Sabet, Marco Turchi, Marcello Federico Automatic translation memory cleaning published pages: 93-115, ISSN: 0922-6567, DOI: 10.1007/s10590-017-9191-5 |
Machine Translation 31/3 | 2019-05-30 |
| 2017 |
Nicola Bertoldi, Roldano Cattoni, Mauro Cettolo, Amin Farajian, Marcello Federico, Davide Caroselli, Luca Mastrostefano, Andrea Rossi, Marco Trombetti, Ulrich Germann, and David Madl MMT: New Open Source MT for the Translation Industry published pages: , ISSN: , DOI: |
Proceedings of the 20th Annual Conference of the European Association for Machine Translation | 2019-05-30 |
| 2017 |
Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, and Rico Sennrich Regularization techniques for fine-tuning in neural machine translation published pages: , ISSN: , DOI: |
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing | 2019-05-30 |
| 2016 |
Nikolay Bogoychev and Adam Lopez N-gram Language Models for Massively Parallel Devices published pages: , ISSN: , DOI: |
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics | 2019-05-30 |
| 2016 |
M. A. Farajian, R. Chatterjee, C. Conforti, S. Jalalvand, V. Balaraman, M. A. Di Gangi, D. Ataman, M. Turchi, M. Negri, M. Federico, FBK\'s Neural Machine Translation Systems for IWSLT 2016 published pages: , ISSN: , DOI: |
Proceedings of the 13th Workshop on Spoken Language Translation December 8-9, 2016 | 2019-05-30 |
| 2017 |
Surafel Melaku Lakew, Mattia Antonino Di Gangi, and Marcello Federico Multilingual Neural Machine Translation for Low Resource Languages published pages: , ISSN: , DOI: |
Proceedings of the 4th Italian Conference on Computational Linguistics (CLIC-IT) | 2019-05-30 |
| 2016 |
C. Buck, P. Koehn Findings of the WMT 2016 Bilingual Document Alignment Shared Task published pages: 554–563, ISSN: , DOI: |
Proceedings of the First Conference on Machine Translation Volume 2: Shared Task Papers , | 2019-05-30 |
| 2016 |
M. Cettolo, J. Niehues, S. Stüker, L. Bentivogli, M. Federico The IWSLT 2016 Evaluation Campaign published pages: , ISSN: , DOI: |
Proceedings of the 13th Workshop on Spoken Language Translation December 8-9, 2016 | 2019-05-30 |
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