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    ACL
    2006
    125views Computational Linguistics» more  ACL 2006»
    Unsupervised Segmentation of Chinese Text by Use of Branching Entropy
    13 years 9 months ago
    Unsupervised Segmentation of Chinese Text by Use of Branching Entropy
    Download  acl.ldc.upenn.edu
    We propose an unsupervised segmentation method based on an assumption about language data: that the increasing point of entropy of successive characters is the location of a word ...
    Zhihui Jin, Kumiko Tanaka-Ishii
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    LREC
    2010
    169views Education» more  LREC 2010»
    Language Identification of Short Text Segments with N-gram Models
    13 years 3 months ago
    Language Identification of Short Text Segments with N-gram Models
    Download  www.lrec-conf.org
    There are many accurate methods for language identification of long text samples, but identification of very short strings still presents a challenge. This paper studies a languag...
    Tommi Vatanen, Jaakko J. Väyrynen, Sami Virpi...
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    COLING
    1996
    160views Computational Linguistics» more  COLING 1996»
    The Automatic Extraction of Open Compounds from Text Corpora
    13 years 9 months ago
    The Automatic Extraction of Open Compounds from Text Corpora
    Download  acl.ldc.upenn.edu
    This paper describes a new method for extracting open compounds (uninterrupted sequences of words) from text corpora of languages, such as Thai, Japanese and Korea that exhibit un...
    Virach Sornlertlamvanich, Hozumi Tanaka
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    ICPR
    2002
    IEEE
    136views computer vision» more  ICPR 2002»
    Text Segmentation and Recognition in Complex Background Based on Markov Random Field
    14 years 9 months ago
    Text Segmentation and Recognition in Complex Background Based on Markov Random Field
    Download  www.cs.cmu.edu
    Datong Chen, Jean-Marc Odobez, Hervé Bourla...
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    MEDES
    2009
    ACM
    99views Control Systems» more  MEDES 2009»
    Efficient linear text segmentation based on information retrieval techniques
    14 years 2 months ago
    Efficient linear text segmentation based on information retrieval techniques
    Download  www.know-center.tugraz.at
    Roman Kern, Michael Granitzer
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