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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… Expand
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Papers overview

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2015
2015
In hierarchical phrase-based machine translation, a rule table is automatically learned by heuristically extracting synchronous… Expand
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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… Expand
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2013
2013
The goal of this research is to design a multi-label classification model which determines the research topics of a given… Expand
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2012
2012
Although significant improvements have been achieved in statistical machine translation (SMT), even the best machine translation… Expand
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2011
2011
Capturing users' future search actions has many potential applications such as query recommendation, web page re-ranking… Expand
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2009
2009
In this paper we propose a back-off discriminative acoustic model for Automatic Speech Recognition (ASR). We use a set of broad… Expand
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2001
2001
This work describes a method for generating back-off models for context-dependent unit modeling. The main characteristic of the… Expand
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2000
2000
Though the statistical language modeling plays an important role in speech recognition, there are still many problems that are… Expand
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1997
1997
This paper presents a corpus-based method to assign grammatical subject/object relations to ambiguous German constructs. It makes… Expand
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1996
1996
An existing clustering algorithm is extended to deal with higher order N-grams and a faster heuristic version is developed. Even… Expand
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