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Correction of Verbs in English Corpus by using the Concept of AI

by M M S Rauthan, Sumit Khulbe, H S Dhami
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 7
Year of Publication: 2012
Authors: M M S Rauthan, Sumit Khulbe, H S Dhami
10.5120/9705-4155

M M S Rauthan, Sumit Khulbe, H S Dhami . Correction of Verbs in English Corpus by using the Concept of AI. International Journal of Computer Applications. 60, 7 ( December 2012), 27-34. DOI=10.5120/9705-4155

@article{ 10.5120/9705-4155,
author = { M M S Rauthan, Sumit Khulbe, H S Dhami },
title = { Correction of Verbs in English Corpus by using the Concept of AI },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 7 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 27-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number7/9705-4155/ },
doi = { 10.5120/9705-4155 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:56.120817+05:30
%A M M S Rauthan
%A Sumit Khulbe
%A H S Dhami
%T Correction of Verbs in English Corpus by using the Concept of AI
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 7
%P 27-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The present paper aims at automated correction of verb from huge English corpus and addition of verbs at run time through single sentence. The approach deals with salient issues in the applications that use the artificial intelligence with respect to three key properties. The basic differences between the approaches and the computational aspects have been discussed. In support of this discussion, and approaches we evaluate Natural Language Processing (NLP) systems and these are addressed with the help of hierarchical inheritance.

References
  1. Abdul RM, Goh LL, Wan RE (2004). English errors and Chinese learners. Sunway College Journal 1, 83–97(2004). http://www. sunway. edu. my/others/vol1/rashid. pdf
  2. Bhatia, Aban T (1974). An error analysis of students' compositions. IRAL. Vol. 12/4.
  3. Boolos, George; Burgess, John; Jeffrey, Richard C. (2007). Computability and logic. Cambridge: Cambridge University Press. pp. 364. ISBN 0-521-87752-0.
  4. Bonnie J. Dorr (1993), Interlingua machine translation a parameterized approach Original Research Article Artificial Intelligence, Volume 63, Issues 1–2, pp. 429-492.
  5. Bonnie J. Dorr, Pamela W. Jordan, John W. Benoit, (1999), A surveys in machine translation, Advances in Computers, Volume 49, 1999, pp. 1-68.
  6. Brown, Frank Markham (2003), Boolean Reasoning: The Logic of Boolean Equations, 1st edition, Kluwer Academic Publishers, Norwell, MA. 2nd edition, Dover Publications, Mineola, NY.
  7. Donald G. MacKay 2006, "On the retrieval and lexical structure of verbs" Journal of Verbal learning and Verbal behavior, Volume 15, Issue 2 pp. 169-182.
  8. Izumi, K. Uchimoto, T. Saiga, T. Supnithi, and H. Isahara. 2003. Automatic Error Detection in the Japanese Learner's English Spoken Data. In Companion Volume to Proc. ACL. Sapporo, Japan.
  9. Elliot A B (1983). Errors in English. Singapore University Press: Singapore. Ellis, Rod. Becoming Grammatical, Website 1999-2003 by Lateral Communications.
  10. Tonaci, M. Russo, M. T. Pazienza, P. Velardi (1989), A system for text analysis and lexical knowledge acquisition Data & Knowledge Engineering, Volume 4, Issue 1, pp. 1-20
  11. G. Heidorn. 2000. Intelligent Writing Assistance. Handbook of Natural Language Processing. RobertDale, Hermann Moisi and Harold Somers (ed. ). Marcel Dekker, Inc.
  12. Greenbaum Randolph Sidney and Quirk,(1978) A University Grammar of English. Hong Kong: Longman.
  13. Hsien-tang Wu; Wen-ta Hsiao; Chih-tsang Lin; Tao-ming Cheng (2011)Dept. of Constr. Eng. , Chaoyang Univ. of Technol. , Taichung, Taiwan, "Application of genetic algorithim to the development of artificial intelligence module system", Intelligent Control and Information Processing (ICICIP), 978-1-4577-0813-8.
  14. Izumi. E, K. Uchimoto, T. Saiga, T. Supnithi, and H. Isahara. 2003. Automatic Error Detection in the Japanese Learner's English Spoken Data. In Companion Volume to Proc. ACL. Sapporo, Japan.
  15. J. Lee and S. Seneff. 2006. Automatic Grammar Correction for Second-Language Learners. In Proc. Interspeech. Pittsburgh, PA.
  16. K. Knight and I. Chander. 1994. Automated Post editing of Documents. In Proc. AAAI. Seattle, WA.
  17. Lagarda Antonio L. , Vicent Alabau, Francisco Casacuberta, Roberto Silva, and Enrique Diaz-de Liano. (2009). Statistical post-editing of a rule-based machine translation system. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers, pp. 217–220. Association for Computational Linguistics.
  18. M. Chodorow, J. R. Tetreault, and N. -R. Han. 2007. Detection of Grammatical Errors Involving Prepositions. In Proc. ACL-SIGSEM Workshop on Prepositions. Prague, Czech Republic.
  19. McDonald Ryan, Fernando Pereira, Kiril Ribarov, and Jan Hajic. (2005). Non-projective dependency parsing using spanning tree algorithms. In HLT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, pages 523–530, Vancouver, British Columbia, Canada.
  20. Pilleux K D (2003). Subject-verb concord: Not just a second language acquisition issue. http://oak. cats. ohiou. edu/1kw382698/671%20Final2.
  21. Patrick Khader, André Scherag, Judith Streb, Frank Rösler (2003), Differences between noun and verb processing in a minimal phrase context: a semantic priming study using event- related brain potentials , Volume 17, Issue 2, pp. 293-313.
  22. Ria De Bleser, Christina Kauschke (2003), Acquisition and errors of nouns and verbs, Volume 16, Issues 2–3, March–May 2003, pp. 213-229.
  23. Rachele De Felice and Stephen G. Pulman. 2008. A Classi?er-Based Approach to Preposition and Determiner Error Correction in L2 English. In Proc. of Coling, pages 169–176, Manchester, UK, August.
  24. Sergei Nirenburg, Yorick Wilks (2000) ,Advances in Computers, Volume 52, pp. 159-188.
  25. Simard Michel, Cyril Goutte, and Pierre Isabelle. (2007). Statistical phrase-based post-editing. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Proceedings of the Main Conference, pages 508–515, Rochester, New York, April. Association for Computational Linguistics.
  26. Tan, Aig Bee(2005). The use of drill exercises in helping students reduce subject-verb agreement errors in academic writing: A case study in IPBA Jurnal. IPBA/Jilid 3: Bilangan 2.
Index Terms

Computer Science
Information Sciences

Keywords

Artificial Intelligence NLP Hierarchical inheritance

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