Skip to main content

A Review of Machine Translation Systems for Indian Languages and Their Approaches

  • Conference paper
  • First Online:
Emerging Trends in Expert Applications and Security

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 841))

Abstract

Translation is the obvious requirement to abolish the communication barrier. The barrier may occur while knowing different languages and prevent from sharing the information. This paper provides a survey of Machine Translation (MT) systems developed for Indian languages. It also provides an idea regarding the approaches and evaluation techniques used for translation. From this paper, a researcher can have a glance regarding the work carried out for Indian languages and enhance the work from where it stops. Until now, a lot of work has been carried out for MT. Some systems are developed for general domain whereas others are for specific domain like administrative documents translation, news translation, children stories, weather narration and conference papers, etc., and still some languages require more attention.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Similar content being viewed by others

References

  1. https://en.wikipedia.org/wiki/Languages_of_India

  2. https://en.wikipedia.org/wiki/Machine_translation

  3. Siddiqui T, Tiwary US (2008) Natural language processing and Information retrieval, Ox ford University Press

    Google Scholar 

  4. Mishra V, Mishra RB (2010) ANN and rule based model for English to Sanskrit MT, Department of Computer Engineering, IT-BHU, Varanasi, U.P., India

    Google Scholar 

  5. Khan S, Mishra RB (2011) Translation rules and ANN based model for English to Urdu MT. INFOCOMP 10(3):36–47

    Google Scholar 

  6. Bahadur P, Chauhan DS, Jain AK (2012) EtranS–a complete framework for English to Sanskrit MT. IJACSA Special Issue, pp 52–59

    Google Scholar 

  7. Pishartoy D, Sidhaye P, Wandkar S (2012) Extending capabilities of English to Marathi machine translator. In J Comput Sci 9(3)

    Google Scholar 

  8. Abhay A, Anita G, Paurnima T, Prajakta G, Priyanka K (2013) Rule based English to Marathi translation of assertive sentence. IJSER 4(5):1754-1756. ISSN 2259-5518

    Google Scholar 

  9. Gajre GV, Kharate G, Kulkarni H (2014) Transmuter: an approach to rule-based English to Marathi MT. Int J Comput Appl 98(21)

    Google Scholar 

  10. Basavaraddi CCS, Shashirekha HL (2014) A typical MT system for English to Kannada. Int J Sci Eng Res 5(4)

    Google Scholar 

  11. Upadhyay P, Jaiswal U, Ashish K (2014) TranSish: translator from Sanskrit to English-a rule based MT. Int J Curr Eng Technol

    Google Scholar 

  12. Josan GS, Lehal GS (2008) A Punjabi to Hindi MT system. In: Coling 2008: companion volume posters and demonstrations, Manchester, pp 157–160

    Google Scholar 

  13. Goyal V, Lehal GS (2010) Web based Hindi to Punjabi MT system. J Emerg Technol Web Intell 2(2), May 2010

    Google Scholar 

  14. Goyal V, Lehal GS (2011) Hindi to Punjabi MT system. In: Proceedings of the ACL-HLT 2011 system demonstrations, pp 1–6, Portland, Oregon, USA, 21 June 2011

    Google Scholar 

  15. Dhore ML, Dixit SX (2011) English to Devnagari translation for UI labels of commercial web based interactive applications. Int J Comput Appl 35

    Google Scholar 

  16. Rathod SG, Sondur S (2012) English to Sanskrit translator and synthesizer. Int J Emerg Technol Adv Eng 2(12)

    Google Scholar 

  17. Parameswari K, Sreenivasulu NV, Uma Maheshwar Rao G, Christopher M (2012) Development of Telugu-Tamil bidirectional MT system: a special focus on case divergence. In: Proceedings of 11th international Tamil internet conference, pp 180–191

    Google Scholar 

  18. Chatterji S, Sonare P, Sarkar S, Basu A (2011) Lattice based lexical transfer in Bengali Hindi MT framework. In Proceedings of ICON-2011, India

    Google Scholar 

  19. Batra KK, Lehal GS (2010) Rule based MT of noun phrases from Punjabi to English. Int J Comput Sci 7(5), September 2010

    Google Scholar 

  20. Nair L, Peter D, Ravindran R (2012) Design and development of a Malayalam to English translator-a transfer based approach. IJCL 3(1)

    Google Scholar 

  21. Barkade VM, Devale PR, Patil SH (2010) English to Sanskrit machine translator lexical parser and semantic mapper. NCICT-2010

    Google Scholar 

  22. Shibli A, Humayun K, Musfique A, Noman KM (2013) English to Bengali MT using context free grammars. Int J Comput Sci 10(3), No 2

    Google Scholar 

  23. Sebastian MP, Sheena Kurian K, Kumar SG (2009) English to Malayalam translation: a statistical approach

    Google Scholar 

  24. Ali A, Siddiq S, Malik M (2010) Development of parallel corpus and English to Urdu Statistical MT. Int J Eng Technol 10(5)

    Google Scholar 

  25. Reddy MV, Hanumanthappa M (2011) English to Kannada/Telugu name transliteration in Clir: a statistical approach, Bioinfo Publications

    Google Scholar 

  26. Warhade S, Devale P, Patil S (2012) English-to-Sanskrit statistical MT with ubiquitous application. Int J Comput Appl 51(1)

    Google Scholar 

  27. Kumar P, Kumar V (2013) Statistical MT based Punjabi to English transliteration system for proper nouns. IJAIEM 2(8), pp 318–320

    Google Scholar 

  28. Ali A, Hussain A, Malik MK (2013) Model for English-Urdu statistical MT. World Appl Sci J 24(10): 362–1367

    Google Scholar 

  29. Anju ES, Manoj Kumar KV (2014) Malayalam to English MT: an EBMT system. IOSR J Eng (IOSRJEN) 04(01):18–23

    Google Scholar 

  30. Sinhal RA, Gupta KO (2014) A pure EBMT approach for English to Hindi sentence translation system. I.J. Mod Edu Comput Sci 7:1–8

    Google Scholar 

  31. Sinha RMK, Jain A (2003) AnglaHindi: an English to Hindi machine-aided translation system. Indian Institute of Technology, Kanpur, India

    Google Scholar 

  32. Bandyopadhyay S et al (2004) ANUBAAD–a hybrid MT system from English to Bangla. In: Symposium on Indian Morphology, Phonology & Language Engineering, pp 91–92

    Google Scholar 

  33. Chatterji S, Roy D, Sarkar S, Basu A (2009) A hybrid approach for Bengali to Hindi MT. In: Proceedings of ICON-2009, pp 83–91

    Google Scholar 

  34. Kaur H, Laxmi V (2013) A web based English to Punjabi MT system for news headlines. Int J Adv Res Comput Sci Softw Eng 3(6):1092–1094

    Google Scholar 

  35. Habib A, Malik AA (2013) Urdu to English MT using bilingual evaluation understudy. Int J Comput Appl 82(7):5–12

    Google Scholar 

  36. Nithya B, Joseph S (2013) A hybrid approach to English to Malayalam MT. Int J Comput Appl 81(8):11–15

    Google Scholar 

  37. Rathod SG (2014) MT of natural language using different approaches: ETSTS (English to Sanskrit translator and synthesizer). Int J Comput Appl 102

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dipal Padhya .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Padhya, D., Sheth, J. (2019). A Review of Machine Translation Systems for Indian Languages and Their Approaches. In: Rathore, V., Worring, M., Mishra, D., Joshi, A., Maheshwari, S. (eds) Emerging Trends in Expert Applications and Security. Advances in Intelligent Systems and Computing, vol 841. Springer, Singapore. https://doi.org/10.1007/978-981-13-2285-3_13

Download citation

Publish with us

Policies and ethics