Skip to main content
SpringerLink
Log in

Comparative Analysis of Printed Hindi and Punjabi Text Based on Statistical Parameters

  • Conference paper
Information Systems for Indian Languages (ICISIL 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 139))

Included in the following conference series:

  • 714 Accesses

Abstract

Statistical analysis of a language is a vital part of natural language processing. In this paper, the statistical analysis of printed Hindi text is performed and then its comparison is done with the analysis already available with printed Punjabi text. Besides analysis of the characters frequency and word length analysis, a more useful unigram, bigram analysis is done. Miscellaneous analysis like Percentage occurrence of various grouped characters and number of distinct words and their coverage in Hindi and Punjabi Corpus is studied.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bharti, A., Sangal, R., Bendre, S.M.: Some observation regarding corpora of some Indian languages. In: Proceedings KBCS 1998, pp. 203–213 (1998)

    Google Scholar 

  2. Dash, N.S.: A Corpus Based Computational Analysis of the Bangla Language: A Step Towards Natural Language Processing. PhD Thesis submitted to ISI Calcutta (2000)

    Google Scholar 

  3. Yannakoudakis, E.J., Tsomokos, I., Hutton, P.J.: N-grams and their implication to natural language understanding. Pattern Recognition 23(5), 509–528 (1990)

    Article  Google Scholar 

  4. Church, K.W., Mercer, R.L.: Introduction to the special issue on computational linguistic using large corpora. Computational Linguistic 19(1), 1–23 (1993)

    Google Scholar 

  5. Arora, N.: A Statistical Analysis of Gurmukhi Script. M.Tech. Thesis submitted to Punjabi University (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. DAV College, Jalandhar, India

    Lalit Goyal

Authors
  1. Lalit Goyal
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Computer Science, Punjabi University, Patiala, India

    Chandan Singh , Gurpreet Singh Lehal , Jyotsna Sengupta , Dharam Veer Sharma  & Vishal Goyal , , ,  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Goyal, L. (2011). Comparative Analysis of Printed Hindi and Punjabi Text Based on Statistical Parameters. In: Singh, C., Singh Lehal, G., Sengupta, J., Sharma, D.V., Goyal, V. (eds) Information Systems for Indian Languages. ICISIL 2011. Communications in Computer and Information Science, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19403-0_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19403-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19402-3

  • Online ISBN: 978-3-642-19403-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation