Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Recommender System Based on Fuzzy C-Means Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Design and Development of a Dictionary Based Stemmer for Marathi Language

Authors : Harshali B. Patil, Neelima T. Mhaske, Ajay S. Patil

Published in: Smart and Innovative Trends in Next Generation Computing Technologies

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Stemming is one of the term conflation techniques used to reduce morphological variations of the term into a unique term called as “stem”. Stemming is one of the significant pre-processing steps performed in various applications of natural language processing (NLP) and information retrieval (IR): like machine translation, named entity recognition, automated document processing, etc. In this paper, we focus on the development of automated stemmer for the Marathi language. We have adopted the dictionary lookup technique for this task. The experiment is tested on news articles in the Marathi language consists of 4500 words. The proposed stemmer achieved a maximum accuracy of 80.6% when tested on nine different runs. The over-stemming error rate is low. The satisfactory result of proposed stemmer encourages us to use this stemmer for the information retrieval task.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Do Heavy and Superheavy Syllables Always Bear Prominence in Hindi?
next chapter Deep Convolutional Neural Network for Handwritten Tamil Character Recognition Using Principal Component Analysis
Footnotes
Literature
1.
Lovins, J.B.: Development of a stemming algorithm. J. Mech. Transl. Comput. Linguist. 11(1–2), 22–31 (1968)
2.
Dawson, J.: Suffix removal and word conflation. Bull. Assoc. Lit. Linguist. Comput. 2(3), 33–46 (1974)
3.
Porter, M.F.: An algorithm for suffix stripping. Program 14(3), 130–137 (1980)CrossRef
4.
Harman, D.: How effective is suffixing? J. Am. Soc. Inf. Sci. 42(1), 7 (1991)CrossRef
5.
Hull, D.A.: Stemming algorithms: A case study for detailed evaluation. JASIS 47(1), 70–84 (1996)CrossRef
6.
Aljlayl, M., Frieder O.: On Arabic search: improving the retrieval effectiveness via a light stemming approach. In: Proceedings of the eleventh international conference on Information and knowledge management, pp. 340–347. ACM (2002)
7.
Orengo, V.M., Buriol, L.S., Coelho, A.R.: A study on the use of stemming for monolingual ad-hoc Portuguese information retrieval. In: Peters, C., Clough, P., Gey, F.C., Karlgren, J., Magnini, B., Oard, D.W., de Rijke, M., Stempfhuber, M. (eds.) CLEF 2006. LNCS, vol. 4730, pp. 91–98. Springer, Heidelberg (2007). https://​doi.​org/​10.​1007/​978-3-540-74999-8_​12CrossRef
8.
Taghva, K., Beckley, R., Sadeh, M.: A stemming algorithm for the Farsi language. In: International Conference on in Information Technology: Coding and Computing, vol. 1, pp. 158–162 (2005)
9.
Kumar, D., Rana, P.: Design and development of a stemmer for Punjabi. Int. J. Comput. Appl. 11(12), 18–23 (2010)
10.
Mishra, U., Prakash, C.: MAULIK: an effective stemmer for Hindi language. Int. J. Comput. Sci. Eng. 4(5), 711–717 (2012)
11.
Joshi, G., Garg, K.D.: Enhanced version of Punjabi stemmer using synset. Int. J. Comput. Sci. Eng. 4(5), 1060–1065 (2014)
12.
Patil, H.B., Pawar, B.V., Patil, A.S.: A comprehensive analysis of stemmers available for Indic languages. Int. J. Nat. Lang. Comput. 05(1), 45–55 (2016)CrossRef
13.
Almeida, A., Bhattacharyya, P.: Experiments in N-gram based indexing and retrieval in Marathi. FIRE Working Note (2010)
14.
Majgaonker, M.M.: Discovering suffixes: a case study for Marathi language. Int. J. Comput. Sci. Eng. 02(08), 2716–2720 (2010)
15.
Patil, H.B., Patil, A.S.: MarS: a rule based stemmer for morphologically rich language Marathi. In: IEEE International Conference on Computer, Communications and Electronics (COMPTELIX 2017), Manipal University Jaipur, 1st-2nd July 2017 (2017)
16.
Dolamic, L., Savoy, J.: Comparative study of indexing and search strategies for the Hindi, Marathi and Bengali languages. ACM Trans. Asian Lang. Inf. Process. (TALIP) 9(3), 11 (2010). Article no. 11
17.
Husain, M.S.: An unsupervised approach to develop stemmer. Int. J. Nat. Lang. Comput. (IJNLC) 1(2), 15–23 (2012)CrossRef
18.
Frakes, W.B., Fox, C.J.: Strength and similarity of affix removal stemming algorithms. ACM SIGIR Forum 37(01), 26–30 (2003)CrossRef
19.
Paice, C.D.: Method for evaluation of stemming algorithms based on error counting. JASIS 47(08), 632–649 (1996)CrossRef
Metadata
Title
Design and Development of a Dictionary Based Stemmer for Marathi Language
Authors
Harshali B. Patil
Neelima T. Mhaske
Ajay S. Patil
Copyright Year
2018
Publisher
Springer Singapore
Book
Smart and Innovative Trends in Next Generation Computing Technologies

Print ISBN: 978-981-10-8656-4

Electronic ISBN: 978-981-10-8657-1

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-8657-1_60

Premium Partner

    Image Credits