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Improving the Quality of English-Bharati Braille Machine Translation Using Syntax Analysis

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Proceedings of Third Doctoral Symposium on Computational Intelligence

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 479))

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Abstract

Life is tough for people who are blind or deafblind. Braille is a medium through which they can read the text available in the world. Unfortunately, due to the lack of resources that can transcribe textual material into Braille, they are deprived of a lot of knowledge available in books. This paper is an attempt to address this issue. We have developed a system that can transcribe the text available in English into Hindi Braille. We have developed a hybrid machine assisted translation system, which can translate English text into Bharati(Hindi) Braille. This research would be helpful to people in our country who have a desire to learn and gain knowledge but are unable to do so due to the unavailability of literature in Bharati Braille. The developed system is critically important to the lives of visually impaired people because the ability to read and write in Braille opens the door to literacy, intellectual freedom, equal opportunity, and personal security for them. We have evaluated our MT system against standard MT evaluation metrics which provides promising results. We also did quality analysis of the MT output and found that for almost all the simple sentences, and the translations were good while for complex sentences. The system produced above average translations.

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Notes

  1. 1.

    https://nfb.org.

  2. 2.

    https://www.pib.gov.in/indexd.aspx.

  3. 3.

    https://rsdebate.nic.in/.

References

  1. Abualkishik AM, Omar K (2009) Quranic Braille system. Int J Humanities Soc Sci 3(4):313–319

    Google Scholar 

  2. Abualkishik AM, Omar K (2009b) Quran vibrations in Braille code. In: 2009 International conference on electrical engineering and informatics, vol 1. IEEE, pp 12–17

    Google Scholar 

  3. Al-Salman AS (2008) A bi-directional bi-lingual translation Braille-text system. J King Saud Univer-Comput Inform Sci 20:13–29

    Google Scholar 

  4. Azam S, Gani MO, Khan AI, Mahbub-ul-Islam FM, Hossain SA (2011) Architecture and implementation of Bangla text to Braille translation. In: 2nd international conference on computer processing of Bangla.

    Google Scholar 

  5. Blenkhorn P (1995) A system for converting Braille into print. IEEE Trans Rehabil Eng 3(2):215–221

    Article  Google Scholar 

  6. Blenkhorn P (1997) A system for converting print into Braille. IEEE Trans Rehabil Eng 5(2):121–129

    Article  Google Scholar 

  7. Cleave JP (1956) A programme for Braille transcription. In: Information theory, Academic Press, Inc., pp 184–194

    Google Scholar 

  8. Das PK, Das R, Chaudhuri A (1995) A computerised Braille transcriptor for the visually handicapped. In: Proceedings of the first regional conference, IEEE engineering in medicine and biology society and 14th conference of the biomedical engineering society of India. An International Meet, February, IEEE, pp 3–7

    Google Scholar 

  9. Fahiem MA (2008) A deterministic turing machine for context sensitive translation of Braille codes to Urdu text. In: International workshop on combinatorial image analysis, April, Springer, Berlin, Heidelberg, pp 342–351

    Google Scholar 

  10. George J, George V, Deepan A, Valson JN (2011) Optical character recognition based hand-held device for printed text to Braille conversion. In: 2011 3rd international conference on machine learning and computing (ICMLC 2011), pp 172–175

    Google Scholar 

  11. Gotoh T, Minamikawa-Tachino R, Tamura N (2008) A web-based Braille translation for digital music scores. In: Proceedings of the 10th international ACM SIGACCESS conference on computers and accessibility, October, pp 259–260

    Google Scholar 

  12. Hossain SA, Mahbub-ul-Islam FM, Azam S, Khan AI (2013) Bangla Braille adaptation. In: Technical challenges and design issues in bangla language processing. IGI Global, pp 16–34

    Google Scholar 

  13. Hossain SA, Biswas LA, Hossain MI (2014a) Regular expression for Bangla-2-Braille machine translator. In: International conference on advances in engineering and technology, March, pp 54–57

    Google Scholar 

  14. Hossain SA, Biswas LA, Hossain MI (2014b) Analysis of Bangla-2-Braille machine translator. In: 2014 17th international conference on computer and information technology (ICCIT), December, IEEE, pp 300–304

    Google Scholar 

  15. Iain M, Pasquale A (2006) A portable device for the translation of Braille to literary text. In: Proceedings of ACM conference on assistive technologies (ASSETS), pp 231–232

    Google Scholar 

  16. Ingham KR (1969) Braille, the language, its machine translation and display. IEEE Trans Man-Machine Syst 10(4):96–100

    Article  Google Scholar 

  17. Jariwala NB, Patel B (2015) Conversion of Gujarati text into Braille: a review. Int J Innov Advancem Comput Sci 4(1):59–64

    Google Scholar 

  18. Jariwala NB, Patel B (2015) Transliteration of digital Gujarati text into printable Braille. In: 2015 Fifth international conference on communication systems and network technologies, April, IEEE, pp 572–577

    Google Scholar 

  19. Lahiri A, Chattopadhyay SJ, Basu A (2005) Sparsha: a comprehensive Indian language toolset for the blind. In: Proceedings of the 7th international ACM SIGACCESS conference on computers and accessibility, October, pp 114–120

    Google Scholar 

  20. Li J, Yan X (2010) Optical Braille character recognition with support-vector machine classifier. In: 2010 international conference on computer application and system modeling (ICCASM 2010), October, vol 12. IEEE, pp V12–219

    Google Scholar 

  21. Li J, Yan X, Zhang D (2010) Optical Braille recognition with haar wavelet features and support-vector machine. In: 2010 international conference on computer, mechatronics, control and electronic engineering, August, vol 5. IEEE, pp 64–67

    Google Scholar 

  22. Mahbub-ul-Islam FM, Khan AI, Gani MO, Azam S, Hossain SA (2011) Computational model for Bangla text to Braille translation. In: 2nd international conference on computer processing of Bangla, February

    Google Scholar 

  23. Manning CD, Surdeanu M, Bauer J, Finkel J, Bethard SJ, McClosky D (2014) The stanford CoreNLP natural language processing toolkit. In: Proceedings of the 52nd annual meeting of the association for computational linguistics: system demonstrations, pp 55–60

    Google Scholar 

  24. Nian-feng L, Li-rong W (2011) A kind of Braille paper automatic marking system. In: 2011 international conference on mechatronic science, electric engineering and computer (MEC), August, IEEE, pp 664–667

    Google Scholar 

  25. Salah C, Ram AR (2015) A review paper on malayalam text to Braille transliteration. Int J Current Eng Technol 5(4)

    Google Scholar 

  26. Shimomura Y, Kawabe H, Nambo H, Seto S (2019) Braille translation system using neural machine translation technology I-Code conversion. In: International conference on management science and engineering management, August, Springer, Cham, pp 335–345

    Google Scholar 

  27. Shreekanth T, Udayashankara V (2015) A new research resource for optical recognition of embossed and hand-punched Hindi Devanagari Braille characters: Bharati Braille bank. Int J Image Graph Signal Process 7(6):19

    Article  Google Scholar 

  28. Singh M, Bhatia P (2010) Automated conversion of English and Hindi text to Braille representation. Int J Comput Appl 4(6):25–29

    Google Scholar 

  29. Singh M, Bhatia PG (2010b) Enabling the disabled with translation of source text to Braille (Doctoral dissertation).

    Google Scholar 

  30. Vyas HA, Virparia DPV (2014) Optical Gujarati Braille recognition: a review. Int J Emerg Technol Appl Eng Technol Sci

    Google Scholar 

  31. Wang X, Yang Y, Liu H, Qian Y (2016) Chinese-Braille translation based on Braille corpus. Int J Adv Pervasive Ubiquitous Comput (IJAPUC) 8(2):56–63

    Article  Google Scholar 

  32. Zhang X, Ortega-Sanchez C, Murray I (2006) Hardware-based text-to-Braille translator. In: Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility, October pp 229–230

    Google Scholar 

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Acknowledgements

This work is supported by the funding received from Science Engineering and Research Board, Government of India through grant number CRG/2020/004246.

Author information

Authors and Affiliations

  1. Department of Computer Science, Banasthali Vidyapith, Rajasthan, India

    Nisheeth Joshi, Pragya Katyayan & Anupriya Pandey

  2. Centre for Artificial Intelligence, Banasthali Vidyapith, Rajasthan, India

    Nisheeth Joshi, Pragya Katyayan & Anupriya Pandey

Authors
  1. Nisheeth Joshi
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  2. Pragya Katyayan
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  3. Anupriya Pandey
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Editor information

Editors and Affiliations

  1. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Ashish Khanna

  2. Maharaja Agrasen Institute of Technology, Rohini, Delhi, India

    Deepak Gupta

  3. Institute of Engineering and Technology, Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India

    Vineet Kansal

  4. University of Calabria, Rende (CS), Italy

    Giancarlo Fortino

  5. Faculty of Computers and Information, IT Department, Cairo University, Giza Governorate, Egypt

    Aboul Ella Hassanien

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Joshi, N., Katyayan, P., Pandey, A. (2023). Improving the Quality of English-Bharati Braille Machine Translation Using Syntax Analysis. In: Khanna, A., Gupta, D., Kansal, V., Fortino, G., Hassanien, A.E. (eds) Proceedings of Third Doctoral Symposium on Computational Intelligence . Lecture Notes in Networks and Systems, vol 479. Springer, Singapore. https://doi.org/10.1007/978-981-19-3148-2_58

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