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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. Sentence boundary detection in conversational speech transcripts using noisily labeled examples
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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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Sentence boundary detection in conversational speech transcripts using noisily labeled examples

Content Provider Springer Nature Link
Author Takeuchi, Hirori Subramaniam, L. Venkata Roy, Shourya Punjani, Diwakar Nasukawa, Tetsuya
Copyright Year 2007
Abstract This paper presents a technique for adding sentence boundaries to text obtained by Automatic Speech Recognition (ASR) of conversational speech audio. We show that starting with imprecise boundary information, added using only silence information from an ASR system, we can improve boundary detection using Head and Tail phrases. We develop our technique and show its effectiveness on two manually transcribed and one automatically transcribed corpus. The main purpose of adding sentence boundaries to ASR transcripts is to improve linguistic analysis, namely information extraction, for text mining systems that handle huge volumes of textual data and analyze trends and features of the concepts. Hence, we also show how the addition of boundaries improves two basic natural language processing tasks—PoS label assignment and adjective-noun extraction.
Starting Page 147
Ending Page 155
Page Count 9
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 2007-11-20
Publisher Place Berlin, Heidelberg
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword 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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