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Brown clustering

Known as: Brown algorithm, Class-based language model 
Brown clustering is a hard hierarchical agglomerative clustering problem based on distributional information. It is typically applied to text… 
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Papers overview

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2010
2010
We present and discuss experiments in statistical parsing of French, where terminal forms used during training and parsing are… 
2006
2006
  • 2006
  • Corpus ID: 33381589
Societal expectations for procreation often result in infertile couples accessing assisted reproductive technology (ART). In the… 
2006
2006
This article describes the real-time speech recognition system for closed-captioning of TV ice-hockey commentaries. Automatic… 
2006
2006
Electrical Impedance Tomography (EIT) is a technique to estimate the impedance distribution of a domain of interest, for instance… 
2006
2006
As we will see, estimators like N-grams that assign a conditional probability to possible next words can be used to assign a… 
2004
2004
This paper aims to build a quiet Sun EUV reference spectrum from the SOHO - SUMER database. We make use of 750 quiet Sun spectra… 
2000
2000
This paper describes the use of a weighted mixture of class-based n-gram language models to perform topic adaptation. By using a… 
Review
2000
Review
2000
The choice of nesting habitat for murrelets appears superficially to be broader in Alaska, where murrelets nest both in trees and… 
1994
1994
  • 1994
  • Corpus ID: 13924979
The copyright law of the United States (Title 1.7, United States Code) governs the making of photocopies or other reproductions…