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» Using Prosodic Features in Language Models for Meetings
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ESANN
2008
15 years 1 months ago
Improving a statistical language model by modulating the effects of context words
We show how to improve a state-of-the-art neural network language model that converts the previous "context" words into feature vectors and combines these feature vectors...
Zhang Yuecheng, Andriy Mnih, Geoffrey E. Hinton
CLEAR
2007
Springer
166views Biometrics» more  CLEAR 2007»
15 years 5 months ago
The IBM Rich Transcription 2007 Speech-to-Text Systems for Lecture Meetings
The paper describes the IBM systems submitted to the NIST Rich Transcription 2007 (RT07) evaluation campaign for the speechto-text (STT) and speaker-attributed speech-to-text (SAST...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
NLPRS
2001
Springer
15 years 4 months ago
Statistical Parsing of Dutch using Maximum Entropy Models with Feature Merging
In this project report we describe work in statistical parsing using the maximum entropy technique and the Alpino language analysis system for Dutch. A major difficulty in this d...
Tony Mullen, Rob Malouf, Gertjan van Noord
TSD
2005
Springer
15 years 5 months ago
Robust Rule-Based Method for Automatic Break Assignment in Russian Texts
In this paper a new rule-based approach to break assignment for the Russian language is discussed. It is a flexible and robust method of segmentation of texts in Russian in prosod...
Ilya Oparin
VAMOS
2010
Springer
15 years 1 months ago
Using Incremental Consistency Management for Conformance Checking in Feature-Oriented Model-Driven Engineering
Feature-Oriented Model-Driven Engineering (FOMDE) is an approach that lies at the intersection of two complementary paradigms for software construction, Model Driven Engineering (M...
Roberto E. Lopez-Herrejon, Alexander Egyed, Salvad...