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Katz's back-off model

Known as: Backoff weight 
Katz back-off is a generative n-gram language model that estimates the conditional probability of a word given its history in the n-gram. It… 
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Papers overview

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2017
2017
Categorical models are a natural fit for many problems. When learning the distribution of categories from samples, high… 
Highly Cited
2013
Highly Cited
2013
We present an affective text analysis model that can directly estimate and combine affective ratings of multi-word terms, with… 
2013
2013
The goal of this research is to design a multi-label classification model which determines the research topics of a given… 
2012
2012
Although significant improvements have been achieved in statistical machine translation (SMT), even the best machine translation… 
2011
2011
Capturing users' future search actions has many potential applications such as query recommendation, web page re-ranking… 
2009
2009
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad… 
Review
2008
Review
2008
  • 2008
  • Corpus ID: 17328989
As part of an effort to develop NLP-based tools for Hebrew AAC users, we investigate the task of word prediction. Previous work… 
2001
2001
This work describes a method for generating back-off models for context-dependent unit modeling. The main characteristic of the… 
2000
2000
Though the statistical language modeling plays an important role in speech recognition, there are still problems that are… 
1996
1996
  • J. Ueberla
  • IEEE Trans. Speech Audio Process.
  • 1996
  • Corpus ID: 16869337
An existing clustering algorithm is extended to deal with higher order N-grams and a faster heuristic version is developed. Even…