dc.contributor.author |
Perera, V. |
|
dc.contributor.author |
Gayashan, P.P.A |
|
dc.contributor.author |
Nirmani, S |
|
dc.contributor.editor |
Thayasivam, U |
|
dc.contributor.editor |
Rathnayaka, C |
|
dc.date.accessioned |
2025-01-24T03:25:31Z |
|
dc.date.available |
2025-01-24T03:25:31Z |
|
dc.date.issued |
2020 |
|
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/23262 |
|
dc.description.abstract |
In 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.language.iso |
en |
en_US |
dc.publisher |
National Language Processing Centre University of Moratuwa Sri Lanka |
en_US |
dc.subject |
Visual Impairment |
en_US |
dc.subject |
Old Sinhala Newspaper |
en_US |
dc.title |
Old Sinhala newspaper reader for people with visual impairment |
en_US |
dc.type |
Conference-Abstract |
en_US |
dc.identifier.year |
2020 |
en_US |
dc.identifier.conference |
Symposium on Natural Language Processing 2020 |
en_US |
dc.identifier.place |
University of Moratuwa |
en_US |
dc.identifier.pgnos |
p. 13 |
en_US |
dc.identifier.proceeding |
Proceedings of Symposium on Natural Language Processing 2020 |
en_US |
dc.identifier.email |
vindipererauom@gmail.com |
en_US |
dc.identifier.email |
p.p.a.gayashan@gmail.com |
en_US |
dc.identifier.email |
shashiwadanannirmani14@gmail.com |
en_US |