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TASLP
2010
97views more  TASLP 2010»
10 years 8 months ago
Hierarchical Bayesian Language Models for Conversational Speech Recognition
Traditional n-gram language models are widely used in state-of-the-art large vocabulary speech recognition systems. This simple model suffers from some limitations, such as overfi...
Songfang Huang, Steve Renals
EMNLP
2009
10 years 11 months ago
Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
Robert C. Moore, Chris Quirk
ACL
2009
10 years 11 months ago
Improved Smoothing for N-gram Language Models Based on Ordinary Counts
Kneser-Ney (1995) smoothing and its variants are generally recognized as having the best perplexity of any known method for estimating N-gram language models. Kneser-Ney smoothing...
Robert C. Moore, Chris Quirk
EMNLP
2010
10 years 11 months ago
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...
David Guthrie, Mark Hepple
TSD
2010
Springer
10 years 11 months ago
Improving Automatic Image Captioning Using Text Summarization Techniques
This paper presents two different approaches to automatic captioning of geo-tagged images by summarizing multiple web-documents that contain information related to an image’s lo...
Laura Plaza, Elena Lloret, Ahmet Aker
ICGI
2010
Springer
11 years 2 months ago
Enhanced Suffix Arrays as Language Models: Virtual k-Testable Languages
Abstract. In this article, we propose the use of suffix arrays to efficiently implement n-gram language models with practically unlimited size n. This approach, which is used with ...
Herman Stehouwer, Menno van Zaanen
NIPS
2008
11 years 2 months ago
A Scalable Hierarchical Distributed Language Model
Neural probabilistic language models (NPLMs) have been shown to be competitive with and occasionally superior to the widely-used n-gram language models. The main drawback of NPLMs...
Andriy Mnih, Geoffrey E. Hinton
LREC
2008
108views Education» more  LREC 2008»
11 years 2 months ago
A Lightweight and Efficient Tool for Cleaning Web Pages
Originally conceived as a "naive" baseline experiment using traditional n-gram language models as classifiers, the NCLEANER system has turned out to be a fast and lightw...
Stefan Evert
EMNLP
2008
11 years 2 months ago
Coarse-to-Fine Syntactic Machine Translation using Language Projections
The intersection of tree transducer-based translation models with n-gram language models results in huge dynamic programs for machine translation decoding. We propose a multipass,...
Slav Petrov, Aria Haghighi, Dan Klein
CICLING
2003
Springer
11 years 6 months ago
Experiments with Linguistic Categories for Language Model Optimization
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to matc...
Arantza Casillas, Amparo Varona, Inés Torre...
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