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IWSLT 2016

Paper presentation:

"The IWSLT 2016 Evaluation Campaign"
Mauro Cettolo, Jan Niehues, Sebastian Stuker, Luisa Bentivogli, Roldano Cattoni, Marcello Federico

Poster presentation:

"FBK’s Neural Machine Translation Systems for IWSLT 2016"
M. Amin Farajian, Rajen Chatterjee, Costanza Conforti, Shahab Jalalvand, Vevake Balaraman, Mattia A. Di Gangi, Duygu Ataman, Marco Turchi, Matteo Negri, Marcello Federico

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Paper to be presented at AI*IA

Simone Magnolini, Ngoc Phuoc An Vo and Octavian Popescu. Analysis of the Impact of Machine Translation Evaluation Metrics for Semantic Textual Similarity

Speech technology @ Trento: a retrospective view

Symposium in memory of Gianni Lazzari

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Seminar "From Academia to Industry: Smoother Transition" by Yashar Mehdad

Being in graduate school, it seems likely that the most appealing option is to remain in the academic tower. It’s reasonable to see why — the environment you are surrounded with encourages you to follow this career path. However, taking a glance at the Ph.D. labor market proves that the number of PhD graduates annually highly exceeds the number of positions available. In this interactive talk, I first convince you that academia is not the only choice to pursue your career path and brief you on some very interesting research projects in the high-tech industry. Language English

HLT-MT Seminar

Ontology Learning in the Deep

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Translating Europe Forum 2016

Invited presentation: "Context-adaptive Machine Translation system"

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Presentation at Translating Europe Forum 2016

"Context-adaptive Machine Translation system"
Marcello Federico

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Paper accepted in LRE Journal

Creating a Ground Truth Multilingual Dataset of News and Talk-Show Transcriptions through Crowdsourcing
Rachele SprugnoliGiovanni MorettiLuisa BentivogliDiego Giuliani 

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Paper accepted at FETLT 2016 - Future and Emerging Trends in Language Technologies, Machine Learning and Big Data

Title: Bootstrapping Technique + Embeddings = Emotional Corpus Annotated Automatically
Authors: Lea Canales, Carlo Strapparava, Ester Boldrini and Patricio Martinez-Barco

AMTA 2016

Marcello Federico will present "An Arabic-Hebrew parallel corpus of TED talks" by Mauro Cettolo at the AMTA Workshop on Semitic Machine Translation (SeMaT)

Marcello Federico will present "Machine Translation Adaptation from Translation Memories in ModernMT" at the AMTA Commercial Users Track

Matteo Negri will present "Instance Selection for Online Automatic Post-Editing in a multi-domain scenario" by
Rajen Chatterjee, Mihael Arcan, Matteo Negri and Marco Turchi

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EMNLP 2016

Marcello Federico will present the paper:

Neural versus Phrase-Based Machine Translation Quality: a Case Study
Luisa Bentivogli, Arianna Bisazza, Mauro Cettolo and Marcello Federico

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La ricerca va in città

Marcello federico gives the flash talk "Un cervello artificiale per tradurre" to high school students.

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Four papers accepted at CLiC-it 2016

"LICO: A Lexicon of Italian Connectives", "Comparing State-of-the-art Dependency Parsers on the Italian Stanford Dependency Treebank", "Semantic Interpretation of Events in Live Soccer Commentaries", and "Grounding the Lexical Sets of Causative-Inchoative Verbs with Word Embedding"

Analysis and processing of temporal information in Basque and the creation of an annotated corpus

In the context of temporal processing, Begoña Altuna will describe the linguistic analysis of temporal constructions, the adaptation of a mark-up language for temporal information, the creation of an annotated corpus and the development of a tool for Basque temporal expression extraction and normalisation.

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Paper accepted at CLiC-it 2016

Online Automatic Post-Editing across Domains
Rajen Chatterjee, Gebremedhen Gebremelak, Matteo Negri, Marco Turchi

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Presentation at AMTA 2016 Commercial Users Track

Machine Translation Adaptation from Translation Memories in ModernMT
Marcello Federico

Language English

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

Language English

Long paper accepted at IEEE International Conference on Data Science and Advanced Analytics

Title: Exploiting a Bootstrapping Approach for Annotating Emotions in Texts Automatically
Authors: Lea Canales, Carlo Strapparava, Ester Boldrini and Patricio Martinez-Barco

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