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Seminar on the use of Kaldi

Recent results achieved on the TED talk transcription task with Kaldi

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MT Marathon in Trento

The 2014 edition of the MT Marathon, organised by the HLT group at FBK, will start next week

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MT Marathon in Trento

The 2014 edition of the MT Marathon, organised by the HLT group at FBK, will start next week

MT Marathon 2014

The Machine Translation Marathon 2014 is a week long event which will include MT lectures and labs, talks about open source tools for MT, and open source MT hacking projects.

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MT Marathon 2014

The Machine Translation Marathon 2014 is a week long event which will include MT lectures and labs, talks about open source tools for MT, and open source MT hacking projects.

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COLING 2014

Four Papers accepted in COLING 2014

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COLING 2014

Four Papers accepted in COLING 2014

Short paper accepted at ACL 2014

Automation and Evaluation of the Keyword Method for Second Language Learning.
Gözde Özbal, Daniele Pighin and Carlo Strapparava

3 PhD Positions in NLP

The HLT group at FBK, in conjunction with the the ICT International Doctorate School of the University of Trento, is pleased to announce the availability of three fully-funded 3-year PhD positions

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Long paper accepted at ACL 2014

Marco Turchi, Antonios Anastasopoulos, J.G. Camargo de Souza and Matteo Negri: "Adaptive Quality Estimation for Machine Translation."

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A Computational System for Poetry Style Analysis and an Expressive Poetry Reader

We present a system that computes an extended number of linguistic parameters to evaluate a poem, a set or collection of poems and compares the results.

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A Computational System for Poetry Style Analysis and an Expressive Poetry Reader

We present a system that computes an extended number of linguistic parameters to evaluate a poem, a set or collection of poems and compares the results.

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Nine papers accepted at LREC 2014

Eight papers have been accepted at LREC 2014

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Enriching the Neural Network Language Model with Linguistic Information for Improving the ASR output

In this work, we introduce two solutions for two major issues: 1) How to, effectively, use the Neural Network Language Model (NNLM) in ASR decoder; 2) How to improve the NNLM performance using linguistic information. For the former, we propose rescoring the theories in the stack of A* search, instead of rescoring the final N-best lists; and for the latter we propose a new deep structure for representing the linguistic information.

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Enriching the Neural Network Language Model with Linguistic Information for Improving the ASR output

In this work, we introduce two solutions for two major issues: 1) How to, effectively, use the Neural Network Language Model (NNLM) in ASR decoder; 2) How to improve the NNLM performance using linguistic information. For the former, we propose rescoring the theories in the stack of A* search, instead of rescoring the final N-best lists; and for the latter we propose a new deep structure for representing the linguistic information.

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Advances in Word Reordering Modeling for Phrase-Based Statistical Machine Translation

We discuss the word reordering issue in phrase-based SMT and present some approaches to enhance the standard word reordering constraints

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Advances in Word Reordering Modeling for Phrase-Based Statistical Machine Translation

We discuss the word reordering issue in phrase-based SMT and present some approaches to enhance the standard word reordering constraints

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Bridging NLP and semantic web to enhance user interactions with the web of data

We address the development of methods for a flexible mapping between natural language expressions, and concepts and relations in structured knowledge bases

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Bridging NLP and semantic web to enhance user interactions with the web of data

We address the development of methods for a flexible mapping between natural language expressions, and concepts and relations in structured knowledge bases

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