You are here
Events HLT-nlp, HLT-mt
Speech 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 EnglishLearning Corpus Patterns Using Finite State Automata
We argue that natural language has computationally discoverable regular properties characterizing a certain type of phrases
Language EnglishLearning Corpus Patterns Using Finite State Automata
We argue that natural language has computationally discoverable regular properties characterizing a certain type of phrases
Language EnglishContext-based Language Model Adaptation for Lecture Translation
We focus on topic adaptation for language modeling to improve the fluency of translations, both through word choice and small reordering decisions
Language English