MMT will deliver a language independent commercial online translation service based on a new open-source machine translation distributed architecture

Informazioni relative al progetto

MMT

ID dell’accordo di sovvenzione: 645487

DOI

10.3030/645487

Progetto chiuso

Data della firma CE 12 Dicembre 2014

Data di avvio 1 Gennaio 2015

Data di completamento 31 Dicembre 2017

Finanziato da

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Costo totale

€ 3 695 200,00

Contributo UE

€ 2 994 700,00

Coordinato da

TRANSLATED SRL
Italy

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Other (3)

Open source distribution

Release of the source code and relative documentation.

Live Integration with TAUS and MyMemory

Integration of MMT with existing technologies from TAUS and Translated to expose the MMT technology to million of users.

Open Source Installer, Billion words system with APIs & live interface

Release of an open source installer providing API to connect to third party services and a web interface.

Documents, reports (14)

Legal framework for the usage of data collected

Reports on the most suitable legal framework under which to release the index of parallel data collected.

Third Report on Database and MT Infrastructure

Reports on the implementation of the databases, models, and decoder.

Data Management Plan

Document describing how data will be managed during the project which data will be collected generated and published as a result of the activities of the project It will describe how the data will be exploited and why some data cannot be shared Information on storing and maintaining the data will also be provided

Second Evaluation Plan Report

Revises the original evaluation plan.

Second Report on Data Supply

Reports the status of the data repository.

Report on Data Repository

Describes the structure of the data repository and the software to collect and align parallel data from the web.

First Design and Specifications Report

Reports the preliminary design of the whole infrastructure and its components required to their actual implementation done in WP3

First Report on Data Supply

Reports the status of the data repository.

First Evaluation Plan Report

Reports on the evaluation plan

Second Technology Assessment Report

Reports on the MT components, performance and scalability testing.

First Report on Database and MT Infrastructure

Reports on the implementation of the databases, models, and decoder.

Second Report on Database and MT Infrastructure

Reports on the implementation of the databases, models, and decoder.

Second Design and Specifications Report

Revises and finalizes the initial design provided by D1.1 taken into account the feedback from WP3 and WP5.

First Technology Assessment Report

Reports on the MT components, performance and scalability testing.

Pubblicazioni

Conference proceedings (27)

Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario

Autori: M. Amin Farajian, Marco Turchi, Matteo Negri, Nicola Bertoldi, and Marcello Federico
Pubblicato in: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 2017
Editore: European Chapter of the Association for Computational Linguistics

MMT: New Open Source MT for the Translation Industry

Autori: Nicola Bertoldi, Roldano Cattoni, Mauro Cettolo, Amin Farajian, Marcello Federico, Davide Caroselli, Luca Mastrostefano, Andrea Rossi, Marco Trombetti, Ulrich Germann, and David Madl
Pubblicato in: Proceedings of the 20th Annual Conference of the European Association for Machine Translation, 2017
Editore: European Association for Machine Translation

Guiding Neural Machine Translation Decoding with External Knowledge

Autori: Rajen Chatterjee, Matteo Negri, Marco Turchi, Marcello Federico, Lucia Specia, and Frédéric Blain
Pubblicato in: Proceedings of the 2nd Conference on Machine Translation (WMT17), Volume 1: Research Papers, 2017
Editore: WMT

FBK’s Participation to the English-to-German News Translation Task of WMT 2017

Autori: Mattia A. Di Gangi, Nicola Bertoldi and Marcello Federico
Pubblicato in: Proceedings of the 2nd Conference on Machine Translation (WMT17), Volume 2: Shared Task Papers, 2017
Editore: WMT

Multi-Domain Neural Machine Translation through Unsupervised Adaptation

Autori: M. A. Farajian, Marco Turchi, Matteo Negri and Marcello Federico
Pubblicato in: Proceedings of the 2nd Conference on Machine Translation (WMT17), Volume 1: Research Papers, 2017
Editore: WMT

Can Monolingual Embeddings Improve Neural Machine Translation?

Autori: Mattia Antonino Di Gangi, and Marcello Federico
Pubblicato in: Proceedings of the 4th Italian Conference on Computational Linguistics (CLIC-IT), 2017
Editore: CLIC-IT

Multilingual Neural Machine Translation for Low Resource Languages

Autori: Surafel Melaku Lakew, Mattia Antonino Di Gangi, and Marcello Federico
Pubblicato in: Proceedings of the 4th Italian Conference on Computational Linguistics (CLIC-IT), 2017
Editore: CLIC-IT

Monolingual Embeddings for Low Resourced Neural Machine Translation

Autori: Mattia Antonino Di Gangi and Marcello Federico
Pubblicato in: Proceedings of the 14th International Workshop on Spoken Language Translation, 2017
Editore: IWSLT

Improving Zero-Shot Translation of Low-Resource Languages

Autori: Surafel Melaku Lakew, Quintino Francesco Lotito, Marco Turchi, Matteo Negri, and Marcello Federico
Pubblicato in: Proceedings of the 14th International Workshop on Spoken Language Translation, 2017
Editore: IWSLT

FBK’s Multilingual Neural Machine Translation System for IWSLT 2017

Autori: Surafel Melaku Lakew, Quintino Francesco Lotito, Marco Turchi, Matteo Negri, and Marcello Federico
Pubblicato in: Proceedings of the 14th International Workshop on Spoken Language Translation, 2017
Editore: IWSLT

The University of Edinburgh's Neural MT systems for WMT17

Autori: Rico Sennrich, Alexandra Birch, Anna Currey, Ulrich Germann, Barry Haddow, Kenneth Heafield, Antonio Valerio Miceli Barone, and Philip Williams.
Pubblicato in: Proceedings of the Second Conference on Machine Translation, 2017
Editore: ACL

An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing

Autori: Marcin Junczys-Dowmunt, Roman Grundkiewicz
Pubblicato in: Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2017
Editore: Asian Federation of Natural Language Processing

Regularization techniques for fine-tuning in neural machine translation

Autori: Antonio Valerio Miceli Barone, Barry Haddow, Ulrich Germann, and Rico Sennrich
Pubblicato in: Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Editore: ACL

WAGS: A Beautiful English-Italian Benchmark Supporting Word Alignment Evaluation of Rare Words

Autori: L. Bentivogli, M. Cettolo, M. A. Farajian, M. Federico
Pubblicato in: Proceedings of the 10th Language Resources and Evaluation Conference, 2016, Pagina/e 3535-3542
Editore: European Language Resources Association

TMOP: A Tool for Unsupervised Translation Memory Cleaning

Autori: M. J. Sabet, M. Negri, M. Turchi, J. G. C. de Souza, M. Federico
Pubblicato in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Numero System Demonstrations, August 7-12, 2016, 2016, Pagina/e 49-54
Editore: Association for Computational Linguistics

An Unsupervised Method for Automatic Translation Memory Cleaning

Autori: M. J. Sabet, M. Negri, Marco Turchi, E. Barbu
Pubblicato in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Numero August 7-12, 2016, 2016, Pagina/e 287–292
Editore: Association for Computational Linguistics

MT Adaptation from TMs in ModernMT

Autori: M. Federico
Pubblicato in: Proceedings of 12th Conference of the Association for Machine Translation in the Americas, Numero vol. 2: MT Users' Track, 2016, Pagina/e 19-57
Editore: Association for Machine Translation in the Americas

Neural versus Phrase-Based Machine Translation Quality: a Case Study

Autori: L. Bentivogli, A. Bisazza, M. Cettolo, M. Federico
Pubblicato in: Proceedings of Conference on Empirical Methods in Natural Language Processing, Numero November 1-5, 2016, 2016, Pagina/e 257-267
Editore: Association for Computational Linguistics

FBK's Neural Machine Translation Systems for IWSLT 2016

Autori: M. A. Farajian, R. Chatterjee, C. Conforti, S. Jalalvand, V. Balaraman, M. A. Di Gangi, D. Ataman, M. Turchi, M. Negri, M. Federico,
Pubblicato in: Proceedings of the 13th Workshop on Spoken Language Translation, Numero December 8-9, 2016, 2016
Editore: IWSLT

The IWSLT 2016 Evaluation Campaign

Autori: M. Cettolo, J. Niehues, S. Stüker, L. Bentivogli, M. Federico
Pubblicato in: Proceedings of the 13th Workshop on Spoken Language Translation, Numero December 8-9, 2016, 2016
Editore: IWSLT

Bilingual Document Alignment with Latent Semantic Indexing

Autori: Ulrich Germann
Pubblicato in: Proceedings of the First Conference on Machine Translation, Numero Vol. 2, Pagina/e 692–696
Editore: Association for Computational Linguistics

N-gram Language Models for Massively Parallel Devices

Autori: Nikolay Bogoychev and Adam Lopez
Pubblicato in: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016
Editore: Association for Computational Linguistics

Fast and Highly Parallelizable Phrase Table for Statistical Machine Translation

Autori: Nikolay Bogoychev and Hieu Hoang
Pubblicato in: Proceedings of the First Conference on Machine Translation, Numero Vol. 1, 2016, Pagina/e 102–109
Editore: Association for Computational Linguistics

The Reasonable Effectiveness of Data

Autori: A. Ruopp
Pubblicato in: Proceedings of 12th Conference of the Association for Machine Translation in the Americas, 2016, Pagina/e 123-142
Editore: Association for Machine Translation in the Americas

Findings of the WMT 2016 Bilingual Document Alignment Shared Task

Autori: C. Buck, P. Koehn
Pubblicato in: Proceedings of the First Conference on Machine Translation, Numero Volume 2: Shared Task Papers , August 11-12, 2016, 2016, Pagina/e 554–563
Editore: Association for Computational Linguistics

Topic Adaptation for Machine Translation of E-Commerce Content

Autori: P. Mathur, M. Federico, S. Köprü, S. Khadivi, H. Sawaf
Pubblicato in: Proceedings of MT Summit XV, Numero vol. 1: MT Researchers' Track, 30 October-3 November, 2015, 2015, Pagina/e 270-281
Editore: Association for Machine Translation in the Americas

MT Quality Estimation for E-Commerce Data

Autori: J. G. C. de Souza, M. Federico, H. Sawaf
Pubblicato in: Proceedings of MT Summit XV, Numero vol. 2: MT Users' Track, 30 October - 3 November, 2015, 2015, Pagina/e 20-29
Editore: Association for Machine Translation in the Americas

Peer reviewed articles (2)

Automatic translation memory cleaning

Autori: Matteo Negri, Duygu Ataman, Masoud Jalili Sabet, Marco Turchi, Marcello Federico
Pubblicato in: Machine Translation, Numero 31/3, 2017, Pagina/e 93-115, ISSN 0922-6567
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10590-017-9191-5

Sampling Phrase Tables for the Moses Statistical Machine Translation System

Autori: Ulrich Germann
Pubblicato in: The Prague Bulletin of Mathematical Linguistics, Numero No. 104, October 2015, 2015, Pagina/e 39-50, ISSN 0032-6585
Editore: The Prague Bulletin of Mathematical Linguistics
DOI: 10.1515/pralin-2015-0012

Other (1)

Modern MT: A New Open-Source Machine Translation Platform for the Translation Industry

Autori: 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
Pubblicato in: Baltic Journal of Modern Computing, Numero Vol. 4, No. 2, 2016, Pagina/e 397–397
Editore: University of Latvia