Old Sinhala newspaper reader for people with visual impairment

dc.contributor.authorPerera, V.
dc.contributor.authorGayashan, P.P.A
dc.contributor.authorNirmani, S
dc.contributor.editorThayasivam, U
dc.contributor.editorRathnayaka, C
dc.date.accessioned2025-01-24T03:25:31Z
dc.date.available2025-01-24T03:25:31Z
dc.date.issued2020
dc.description.abstractIn Sri Lanka the blind or visually impaired people refer to non-current documents like old sinhala newspapers for their studies, research and other academic purposes. The Department of National archives in Srilanka provides repositories of non-current records to the people who need to deep dive into the past newspapers, However It is an extremely difficult job for visually impaired people to acquire information from those archived newspapers without guidance.In recent years The Sinhala Screen reader was implemented for 'Ranawiru Sevana' rehabilitation facility at Ragama to help the retired blind soldiers to access documents & web sources and to ease their day-to-day computer related work and support applications including web browsers, email clients, internet chat programs and office suites. However, in Sri Lanka still there is no proper offline application for blind or visually impaired people to assist them with reading physical printed newspapers which were published before the launch of e-newspapers. Hence, this proposed solution is a real-time offline Sinhala Old newspaper reader with Smart assistant support to deliver the preferred news articles to the user with predefined question sets. The system consists of, Track and segment the newspaper article from scanned newspaper pages, segmentation of elements in the article and character by character segmentation, character recognition, feature extraction and use of classification model. In addition to that a high accurate word correction module will be used to provide accurate recognition of Sinhala characters and creates the corresponding corrected words. There can be word and nonword errors due to incomplete and incorrectly classified words due to the variation of characters and poor visualquality of the deteriorated old newspaper pages. At the final stage the preferred news content will be provided via audible clips to the user by using speech to text and text to speech tools.en_US
dc.identifier.citationPerera, V., Gayashan, P.P.A., & Nirmani, S., (2020). Old Sinhala newspaper reader for people with visual impairment. In U. Thayasivam., & C. Rathnayaka, (Ed.), Symposium on Natural Language Processing 2020: Proceedings of Symposium on Natural Language Processing 2020 (p. 13). National Language Processing Centre University of Moratuwa. http://dl.lib.uom.lk/handle/123/23262
dc.identifier.conferenceSymposium on Natural Language Processing 2020en_US
dc.identifier.emailvindipererauom@gmail.comen_US
dc.identifier.emailp.p.a.gayashan@gmail.comen_US
dc.identifier.emailshashiwadanannirmani14@gmail.comen_US
dc.identifier.pgnosp. 13en_US
dc.identifier.placeUniversity of Moratuwaen_US
dc.identifier.proceedingProceedings of Symposium on Natural Language Processing 2020en_US
dc.identifier.urihttp://dl.lib.uom.lk/handle/123/23262
dc.identifier.year2020en_US
dc.language.isoenen_US
dc.publisherNational Language Processing Centre University of Moratuwa Sri Lankaen_US
dc.subjectVisual Impairmenten_US
dc.subjectOld Sinhala Newspaperen_US
dc.titleOld Sinhala newspaper reader for people with visual impairmenten_US
dc.typeConference-Abstracten_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SNLP 2020-16.pdf
Size:
58.13 KB
Format:
Adobe Portable Document Format
Description:
SLNP 2020-16

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections