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  1. International Journal of Document Analysis and Recognition (IJDAR)
  2. International Journal of Document Analysis and Recognition (IJDAR) : Volume 10
  3. International Journal of Document Analysis and Recognition (IJDAR) : Volume 10, Issue 3-4, December 2007
  4. Investigation and modeling of the structure of texting language
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International Journal of Document Analysis and Recognition (IJDAR) : Volume 20
International Journal of Document Analysis and Recognition (IJDAR) : Volume 19
International Journal of Document Analysis and Recognition (IJDAR) : Volume 18
International Journal of Document Analysis and Recognition (IJDAR) : Volume 17
International Journal of Document Analysis and Recognition (IJDAR) : Volume 16
International Journal of Document Analysis and Recognition (IJDAR) : Volume 15
International Journal of Document Analysis and Recognition (IJDAR) : Volume 14
International Journal of Document Analysis and Recognition (IJDAR) : Volume 13
International Journal of Document Analysis and Recognition (IJDAR) : Volume 12
International Journal of Document Analysis and Recognition (IJDAR) : Volume 11
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10, Issue 3-4, December 2007
Special issue on noisy text analytics
Treebanks gone bad : Parser evaluation and retraining using a treebank of ungrammatical sentences
Sentence boundary detection in conversational speech transcripts using noisily labeled examples
Investigation and modeling of the structure of texting language
Robustness through prior knowledge: using explanation-based learning to distinguish handwritten Chinese characters
Finding structure in noisy text: topic classification and unsupervised clustering
Genre as noise: noise in genre
Unsupervised information extraction from unstructured, ungrammatical data sources on the World Wide Web
Mining conversational text for procedures with applications in contact centers
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10, Issue 2, November 2007
International Journal of Document Analysis and Recognition (IJDAR) : Volume 10, Issue 1, June 2007
International Journal of Document Analysis and Recognition (IJDAR) : Volume 9
International Journal of Document Analysis and Recognition (IJDAR) : Volume 8
International Journal of Document Analysis and Recognition (IJDAR) : Volume 7
International Journal of Document Analysis and Recognition (IJDAR) : Volume 6
International Journal of Document Analysis and Recognition (IJDAR) : Volume 5
International Journal of Document Analysis and Recognition (IJDAR) : Volume 4
International Journal of Document Analysis and Recognition (IJDAR) : Volume 3
International Journal of Document Analysis and Recognition (IJDAR) : Volume 2
International Journal of Document Analysis and Recognition (IJDAR) : Volume 1

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Investigation and modeling of the structure of texting language

Content Provider Springer Nature Link
Author Choudhury, Mojit Saraf, Rahul Jain, Vijit Mukherjee, Animesh Sarkar, Sudeshna Basu, Anupam
Copyright Year 2007
Abstract Language usage over computer mediated discourses, such as chats, emails and SMS texts, significantly differs from the standard form of the language and is referred to as texting language (TL). The presence of intentional misspellings significantly decrease the accuracy of existing spell checking techniques for TL words. In this work, we formally investigate the nature and type of compressions used in SMS texts, and develop a Hidden Markov Model based word-model for TL. The model parameters have been estimated through standard machine learning techniques from a word-aligned SMS and standard English parallel corpus. The accuracy of the model in correcting TL words is 57.7%, which is almost a threefold improvement over the performance of Aspell. The use of simple bigram language model results in a 35% reduction of the relative word level error rates.
Starting Page 157
Ending Page 174
Page Count 18
File Format PDF
ISSN 14332833
Journal International Journal of Document Analysis and Recognition (IJDAR)
Volume Number 10
Issue Number 3-4
e-ISSN 14332825
Language English
Publisher Springer-Verlag
Publisher Date 2007-10-24
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Texting language SMS Hidden Markov Model Text correction Spell checking Pattern Recognition Image Processing and Computer Vision
Content Type Text
Resource Type Article
Subject Computer Science Applications Computer Vision and Pattern Recognition Software
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