We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Computer Program for Counting the Part of Speeches, Text Narrations by using Secondary Data Algorithm Techniques

by Pradeep Kumar, Sumit Khulbe, H.s Dhami
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 51 - Number 11
Year of Publication: 2012
Authors: Pradeep Kumar, Sumit Khulbe, H.s Dhami
10.5120/8089-1637

Pradeep Kumar, Sumit Khulbe, H.s Dhami . Computer Program for Counting the Part of Speeches, Text Narrations by using Secondary Data Algorithm Techniques. International Journal of Computer Applications. 51, 11 ( August 2012), 37-42. DOI=10.5120/8089-1637

@article{ 10.5120/8089-1637,
author = { Pradeep Kumar, Sumit Khulbe, H.s Dhami },
title = { Computer Program for Counting the Part of Speeches, Text Narrations by using Secondary Data Algorithm Techniques },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 51 },
number = { 11 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 37-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume51/number11/8089-1637/ },
doi = { 10.5120/8089-1637 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:50:09.559972+05:30
%A Pradeep Kumar
%A Sumit Khulbe
%A H.s Dhami
%T Computer Program for Counting the Part of Speeches, Text Narrations by using Secondary Data Algorithm Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 51
%N 11
%P 37-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The given paper is an attempt in the direction of generation of Primary data by refinement of secondary data available at www. Gotaggersoft. in . The Gotagger software only distinguishes the narrations in text but does not count them. To overcome this limitation, we have embedded our work with Gotagger and have used portability technique for identifying the narrations. An application of dialogue systems for developing computer programs has been also described and discussed in this paper.

References
  1. Alan Ritter, Colin Cherry, and Bill Dolan. 2010. Unsupervised modeling of Twitter conversations. In Proc. of NAACL.
  2. Alansary S, Nagi M, Adly N. (2008). Towards Analyzing the International Corpus of Arabic (ICA). 8th International Conference on Language Engineering, Egypt.
  3. Atwell E, Al-Sulaiti L, Al-Osaimi S, Abu-Shawar B. (2004). A Review of Arabic Corpus Analysis Tools. Proceedings of JEP-TALN'04 Arabic Language Processing.
  4. Banko M, Moore R. C. (2004). Part of Speech Tagging in Context. Proc of the 20th international conference on Computational Linguistics, Switzerland.
  5. Beaux Sharifi, Mark-Anthony Hutton, and Jugal Kalita. 2010. Summarizing micro logs automatically. In Proc. of NAACL.
  6. Brendan O'Connor, Michel Krieger, and David Ahn. 2010b. TweetMotif: Exploratory search and topic summarization for Twitter. In Proc. of ICWSM (demo track).
  7. Diab M. , Hacioglu K. and Jurafsky D. (2004). Automatic Tagging of Arabic Text: From Raw Text to Base Phrase Chunks. proc. of HLTNAACL'04: 149–152.
  8. Emanuele Pianta and Christian Girardi and Roberto Zanoli. 2008. The TextPro tool suite. In Proceedings of LREC, Marrakech, Morocco.
  9. Finin Tim, Will Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, and Mark Dredze. 2010. Annotating named entities in Twitter data with crowd sourcing. In Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk.
  10. Freeman A and khoja (2001). Brill's POS tagger and a morphology parser for English. In ACL'01 Workshop on Arabic language processing.
  11. Hendrickx Iris and Su Nam Kim and Zornitsa Kozareva and Preslav Nakov and Diarmuid ´O S´eaghdha and Sebastian Pad´o and Marco Pennacchiotti and Lorenza
  12. Romano and Stan Szpakowicz. 2010. SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. In Proceedings of the 5th SIGLEX Workshop on Semantic Evaluation, Uppsala, Sweden.
  13. Hulth, A. (2003). Improved automatic keyword counting given more linguistic knowledge. Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003, 216-223.
  14. John Lafferty, Andrew McCallum, and Fernando Pereira. (2001), Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. of ICML.
  15. Jurafsky D. , Martin J. H. (2008). Speech and Language Processing: An introduction to speech recognition, computational linguistics and natural language processing. IInd Edition.
  16. Luciano Barbosa and Junlan Feng. 2010. Robust sentiment detection on Twitter from biased and noisy data. In Proc. of COLING.
  17. Maamouri M, Cieri C. (2002). Resources for English Natural Language Processing at the LDC. Proceedings of the International Symposium on the Processing of English ,Tunisia, pp. 125-146.
  18. Mitchell P. Marcus, Beatrice Santorini, and Mary Ann Marcinkiewicz. 1993. Building a large annotated corpus of English: The Penn Treebank. Computational Linguistics, 19:313–330.
  19. Philips. Lawrence 1990. Hanging on the Metaphone. Computer Language, 7(12).
  20. Plas, L. van der, Pallotta, V. , Rajman, M. , & Ghorbel, H. (2004). Automatic keyword extraction from spoken text. A comparison of two lexical resources: the EDR and WordNet. In Lino, M. T. , Xavier,
  21. Sitaram Asur and Bernardo A. Huberman. 2010. Predicting the future with social media. In Proc. of WIIAT.
  22. Suzuki, Y. , Fukumoto, F. , & Sekiguchi, Y. (1998). Keyword extraction of radio news using term weighting with an encyclopedia and newspaper articles. SIGIR, 1998, 373-374.
  23. Thelwall Mike, Kevan Buckley, and Georgios Paltoglou. 2011. Sentiment in Twitter events. Journal of the American Society for Information Science and Technology, 62(2):406–418.
  24. Tim Buckwalter. (2004). Buckwalter Arabic Morphological Analyzer, Version 2. 0. LDC Catalog No. LDC2004L02, Linguistic Data Consortium, www. ldc. upenn. edu/Catalog.
  25. Tlili-Guiassa Y. (2006). Hybrid Method for Tagging Arabic Text. Journal of Computer Science 2 (3): 245-248.
Index Terms

Computer Science
Information Sciences

Keywords

Advanced designing and algorithm (ADA) recursive functions