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» Intelligent Selection of Language Model Training Data
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EMNLP
2008
13 years 8 months ago
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngram...
Bo-June Paul Hsu, James R. Glass
EMNLP
2009
13 years 4 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
FLAIRS
2008
13 years 9 months ago
An Intelligent Tutoring Architecture for Simulation-Based Training
Truly generic and reusable intelligent tutoring software architectures have remained elusive. As part of our effort to develop tutoring systems for simulations of ill-defined doma...
Dave Gomboc, Mark G. Core, H. Chad Lane, Ashish Ka...
ICASSP
2009
IEEE
14 years 1 months ago
Resampling auxiliary data for language model adaptation in machine translation for speech
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Sameer Maskey, Abhinav Sethy
LREC
2010
146views Education» more  LREC 2010»
13 years 8 months ago
Online Temporal Language Model Adaptation for a Thai Broadcast News Transcription System
This paper investigates the effectiveness of online temporal language model adaptation when applied to a Thai broadcast news transcription task. Our adaptation scheme works as fol...
Kwanchiva Saykham, Ananlada Chotimongkol, Chai Wut...