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CIC-FBK system ranks 1st in Native Language Identification shared task

Title: Automatic Generation of Lyrics Parodies
Authors: Lorenzo Gatti, Gözde Özbal, Oliviero Stock and Carlo Strapparava

Title: Word Etymology as Native Language Interference
Authors: Vivi Nastase and Carlo Strapparava

The School of Advanced Technologies for Translators is a two-day course organized by our research group  and targeted to translation students and professionals, language service providers, as well as teachers involved in translators’ training.

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We will participate in WMT 2017 to present:

• 2 research papers:

"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

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

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• Read more about Presentation accepted at METM-17

Marcello Federico will be speaker at LocWorld34

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Marcello Federico will be speaker at the TAUS Industry Leader Forum

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

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• Read more about Paper accepted at WMT 2017

Content:

• Overall Description of IBM  Bluemix (Iaas, PaaS, etc)
• Catalogue of services (specific focus on Watson services)
• How to access, operate and develop on Bluemix
• Example of applications and sample architectures

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We will participate in EAMT 2017 to present three papers:

"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

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"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

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• Read more about Three papers accepted at EAMT 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

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• Read more about Josè Camargo de Souza won the "EAMT Best Thesis Award 2017"

Title: Improving Native Language Identification by Using Spelling Errors
Authors: Lingzhen Chen, Carlo Strapparava and Vivi Nastase

LCL 2017 is a two-day event featuring both tutorials on topics in Computational Linguistics and student's presentations.  LCL - 2017 is organized by the Doctoral School of Linguistic Sciences of University of Bergamo-Pavia and by Fondazione Bruno Kessler,  with the endorsement of AILC, the Italian Association of Computational Linguistics.

The event will be held at University of Pavia on May, 4-5 2017.

Website:  LCL 2017

We are pleased to invite you to the second edition of Lectures on Computational Linguistics, a two-day event featuring tutorials on foundational topics in Computational Linguistics that will take place at University of Pavia on May, 4-5 2017 (see first edition held in Trento in 2016).

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The call for papers for the "NLP meets Journalism" Workshop at EMNLP 2017 is now open.

Begoña Altuna, Anne-Lyse Minard and Manuela Speranza. The Scope and Focus of Negation: A Complete Annotation Framework for Italian

Il 7 aprile a Bologna si terrà l'evento "L'italiano al plurale: istruzioni per l'uso" organizzato da AITI (Associazione Italiana Traduttori e Interpreti).

Luisa Bentivogli sarà presente al Tech Corner dell'evento per presentare le tecnologie al servizio dei traduttori sviluppate dall'unità di ricerca HLT-MT.

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