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    ACL
    2006
    125views Computational Linguistics» more  ACL 2006»
    Unsupervised Segmentation of Chinese Text by Use of Branching Entropy
    15 years 1 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
    14 years 6 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
    15 years 1 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
    16 years 26 days 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
    15 years 6 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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