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Qualitative and quantitative study of syntactic structure: a grammar checker using part of speech tags

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Abstract

One of the fascinating features of English language is its robust grammar construction and syntactic structure. Learning grammar is not difficult in the present era as there are many online tools available for grammar teaching. In spite of its abundance presence and relevance, when one takes a deep dive into finding the syntactic structure used for grammar checker, it is perhaps a complex paradigm. It is hence important to study the logic of defining the grammar rules. Therefore the objective of this paper is to describe the prototype of an efficient grammar checker and to design an interface to perform grammar check. The efficiency of the proposed algorithm is improved as compared to the existing methods.

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References

  1. Ehsan N (2010) Towards grammar checker development for Persian language, 21–23 Aug, 2010, Print ISBN: 978-1-4244-6896-6. doi:10.1109/NLPKE.2010.5587839

  2. Munther Alhamza et al (2016) A preliminary performance evaluation of K-means, KNN and EM unsupervised machine learning methods for network flow classification. Int J Electr Comput Eng 6(2):778–784. doi:10.11591/ijece.v6i1.8909

    Google Scholar 

  3. Atwell E (1987) Dealing with Ill-formed English Text. Longman, London, p 1987

    Google Scholar 

  4. McCoy, KF (2014) Correcting preposition errors in learner english using error case frames and feedback messages. In: Proceedings of the 52nd annual meeting of the association for computational linguistics (Volume 1: Long Papers). doi:10.3115/v1/P14-1071

  5. Adriaens G (1993) Simplified english grammar and style correction in an MT framework, [Machine translation today: Translating and the computer 15. 18-19 November 1993 (London: Aslib)]

  6. Crysmann B (2008) Hybrid processing for grammar and style checking. International conference on computational linguistics, pp. 153–160

  7. Damerau F (1964) A technique for computer detection and correction of spelling errors. Commun ACM 7(3):171–176

    Article  Google Scholar 

  8. Eka Karyawati AAIN et al (2015) Ontology-based why-question analysis using lexico-syntactic patterns. Int J Electr Comput Eng 5(2):318–332

    Google Scholar 

  9. Deksne D (2014) Extended CFG formalism for grammar checker and parser development. Springer Berlin Heidelberg. doi:10.1007/978-3-642-54906-9_19

  10. Rashmi S (2015) Dimensionality reduction for text preprocessing in text mining using NLTK. Int J Appl Eng Res 10(24): 43975–43982. Research India Publications©, Scopus Indexed

  11. Nay Yee Lin (2011) Chunk-based grammar checker for detection translated english sentences. Int J Comput Appl. doi:10.5120/3355-4628

  12. Naber D (2003) A rule-based style and grammar checker. Diploma Thesis, University of Bielefeld

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Rashmi, S., Hanumanthappa, M. Qualitative and quantitative study of syntactic structure: a grammar checker using part of speech tags. Int. j. inf. tecnol. 9, 159–166 (2017). https://doi.org/10.1007/s41870-017-0016-9

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