Gurpreet Singh Lehal
Gurpreet Singh Lehal
Born (1963-02-06) 6 February 1963
Delhi, India
Alma materPanjab University
Occupation(s)Professor in the Computer Science Department, Punjabi University, Patiala

Gurpreet Singh Lehal (born 6 February 1963) is a professor in the Computer Science Department, Punjabi University, Patiala and Director of the Advanced Centre for Technical Development of Punjabi Language Literature and Culture. He is noted for his work in the application of computer technology in the use of the Punjabi language both in the Gurmukhi and Shahmukhi script.

A post graduate in Mathematics from Panjab University, he did his master's degree in Computer Science from Thapar Institute of Engineering and Technology and Ph.D. in Computer Science on Gurmukhi Optical Character Recognition (OCR) System from Punjabi University, Patiala.

Background

As a researcher Lehal's main contribution has been development of technologies related to the computerization of the Punjabi language.[1] Prominent among these are first Gurmukhi OCR, first bilingual Gurmukhi/Roman OCR, first Punjabi font identification and conversion system, first multi-font Punjabi spell checker, first high accuracy Gurmukhi-Shahmukhi and Shahmukhi-Gurmukhi transliteration systems and first Intelligent Predictive Roman-Gurmukhi transliteration techniques for simplifying Punjabi typing. Lehal has published more than 100 research papers in various national and international journals and conference proceedings.[2] Lehal has handled research projects worth more than 43 million Rupees, including three international projects, which were awarded in an open competition among contestants from more than 30 countries. As a software engineer, Lehal has developed more than 25 software systems, including the first commercial Punjabi word processor, Akhar. As an academician, Lehal has taught and supervised research activities of postgraduate and doctorate students. He has guided more than 100 postgraduate Research scholars and 11 PhD students on various topics related to the computerization of Punjabi, Hindi, Urdu and Sindhi languages.[3]

Work

Lehal has been working for more than fifteen years on different projects related to computerization of Punjabi, Hindi, Urdu and Sindhi languages and has been a pioneer in developing technical solutions for these languages. For the first time, many new technologies have been developed by him including Intelligent Predictive Roman-Gurmukhi transliteration techniques for simplifying Punjabi typing, Punjabi spell checker, Intelligent Punjabi and Hindi font converter, bilingual Gurmukhi/Roman OCR and Sindhi-Devnagri transliteration. Many other products for popularizing Punjabi and breaking the script and language barriers have been developed under his leadership. Some of these products which are being widely used include a multi-media based website for Punjabi teaching, Gurmukhi-Shahmukhi transliteration utility, Punjabi-Hindi translation software, Urdu-Hindi transliteration software, Punjabi Search Engine, Punjabi Text-to-Speech Synthesis System, Punjabi text summarization system and Punjabi grammar checker.[4][5][6]

Language Software and Technologies developed

References

  1. ↑ Singh, Roopinder (21 August 2004). "Balle Balle software". Tribune India.
  2. ↑ Dhaliwal, Sarabjit (6 September 2004). "Software to convert Punjabi script to Shahmukhi script". Tribune India. Tribune News Service.
  3. ↑ "Software to melt India, Pakistan's Sindhi script barrier". 3 September 2014. Archived from the original on 23 September 2023. Retrieved 23 September 2023 – via The Economic Times - The Times of India.
  4. ↑ "Breaking the script barrier". Archived from the original on 1 June 2009. Retrieved 23 September 2023.
  5. ↑ "Punjabi varsity develops 'text-to-speech' software for blind". 22 December 2012. Archived from the original on 23 September 2023. Retrieved 23 September 2023 – via The Economic Times - The Times of India.
  6. ↑ "Patiala University's online Punjabi spellchecker hailed". Archived from the original on 31 August 2014. Retrieved 6 October 2014.
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