Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Randil Pushpananda"'
Publikováno v:
2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd53bd811ff10bebeee23c666bf9e4ad
https://doi.org/10.1109/icter58063.2022.10024086
https://doi.org/10.1109/icter58063.2022.10024086
Publikováno v:
2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::617c322478cd5099809cbb9a1ad1e7be
https://doi.org/10.1109/icter58063.2022.10024072
https://doi.org/10.1109/icter58063.2022.10024072
Publikováno v:
2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer).
Language is the core in human communication which involves reading and writing. At birth, infants begin their linguistic development as they listen, observe, and decipher the rules of language. When a child reaches 4 years they have basic ability to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::333df67fee61ce589589787edd04b7fb
https://doi.org/10.1109/icter51097.2020.9325469
https://doi.org/10.1109/icter51097.2020.9325469
Publikováno v:
2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer).
Providing conversational interfaces to IT services enable more people to access them conveniently. For maximum benefit, such interfaces need to be in the native language of the users in a community. Popularly known as chatbots, one of their critical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3e50546a85dd4f245b4b3465f4cca08
https://doi.org/10.1109/icter51097.2020.9325440
https://doi.org/10.1109/icter51097.2020.9325440
Publikováno v:
2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer).
Neural Machine Translation (NMT) is currently the most promising approach for machine translation. The attention mechanism is a successful technique in modern Natural Language Processing (NLP), especially in tasks like machine translation. The recent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4d472528e830f7a2166cdf1dfdb0026
https://doi.org/10.1109/icter51097.2020.9325431
https://doi.org/10.1109/icter51097.2020.9325431
Publikováno v:
2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer).
Automatic Speech Recognition (ASR) is one of the most discussed areas in Natural Language Processing (NLP) because this technology is needed to enable and improve the interaction between human and the computer [1]. High resource languages like Englis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8dfe4057b05fd235eae13e6deabdd27
https://doi.org/10.1109/icter51097.2020.9325439
https://doi.org/10.1109/icter51097.2020.9325439
Autor:
Lakshika Nanayakkara, Thilini Nagungodage, Pubudu Tharaka Viswakula, Randil Pushpananda, Ruvan Weerasinghe, Chamila Liyanage
Publikováno v:
SLTU
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31b2e2557d07dc17898278e475cd8dff
https://doi.org/10.21437/sltu.2018-33
https://doi.org/10.21437/sltu.2018-33
Autor:
Chamila Liyanage, Eranga Jayalatharachchi, Randil Pushpananda, Ruwan Weerasinghe, Ruwan Asanka Wasala
Publikováno v:
International Journal on Advances in ICT for Emerging Regions (ICTer). 3:11-24
In this paper we describe the construction of a spell checker for Sinhala, the language spoken by the majority in Sri Lanka. Due to its morphological richness, the language is difficult to enumerate completely in a lexicon. The approach described is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::928e60cc0835ae19b15fb2fa4960234f
https://doi.org/10.4038/icter.v3i1.2844
https://doi.org/10.4038/icter.v3i1.2844
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319181103
CICLing (1)
CICLing (1)
In this paper, we consider the challenging problem of automatic machine translation between a language pair which is both morphologically rich and low resourced: Sinhala and Tamil. We build a phrase based Statistical Machine Translation (SMT) system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e331d11b00cc81c32e2f0bc1e261e64c
https://doi.org/10.1007/978-3-319-18111-0_41
https://doi.org/10.1007/978-3-319-18111-0_41
