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Events HLT-nlp, HLT-mt
CloudASR: A Web Platform for Automatic Speech Recognition
In this talk I will present a cloud platform for automatic speech recognition, CloudASR, built on top of Kaldi speech recognition toolkit. The platform supports both batch and online speech recognition mode and it has an annotation interface for transcription of the submitted recordings. The key features of the platform are scalability, customizability and easy deployment. Benchmarks of the platform show that the platform achieves comparable performance with Google Speech API in terms of latency and it can achieve better accuracy on limited domains.
Language EnglishTAL e Beni Culturali
The "TAL e Beni Culturali" workshop promotes synergies between humanities and technologies in Natural Language Processing
Language UndefinedComputing News Storylines 2015 (NewsStory 2015)
The First Worskop on Computing News Storylines (CNewS 2015) aims at bringing together researchers and scientists working on narrative extraction and representation from news within Computational Linguistics and Artificial Intelligence.
Language EnglishDeep and Large-Scale Semantic Processing: The Way Ahead
The workshop on “Deep and Large-Scale Semantic Processing: The Way Ahead” is an opportunity to discuss some of the major trends in Semantic Processing of Natural Language, with a specific focus on balancing the need of a deep analysis with the need to process big-data
Language EnglishAutomatic detection of event factuality in Italian
Presentation of internship work on event factuality detection in Italian news
Language EnglishAutomatic detection of event factuality in Italian
Presentation of internship work on event factuality detection in Italian news
Language EnglishSpeech Production in Automatic Speech Recognition Systems
This presentation will focus on ASR combininig acoustic data with information about the vocal tract movements during speech production
Language EnglishSpeech Production in Automatic Speech Recognition Systems
This presentation will focus on ASR combininig acoustic data with information about the vocal tract movements during speech production
Language EnglishSeminar on the use of Kaldi
Recent results achieved on the TED talk transcription task with Kaldi
Language EnglishSeminar on the use of Kaldi
Recent results achieved on the TED talk transcription task with Kaldi
Language EnglishMT 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.
Language EnglishMT 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.
Language EnglishA 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.
Language EnglishA 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.
Language EnglishEnriching 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.
Language EnglishEnriching 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.
Language EnglishAdvances 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
Language EnglishAdvances 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
Language EnglishBridging 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
Language EnglishBridging 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
Language English