Browsing Research Publications by Author "Jayasena, S"

Sort by: Order: Results:

  • A New prosodic phrasing model for sinhala language 
    Bandara, WMC; Lakmal, VMS; Liyanagama, TD; Bulathsinghala, SV; Dias, G; Jayasena, S [Conference-Extended-Abstract]
    This paper describes a new model of predicting prosodic phrase breaks in Sinhala language in order to improve the quality of the existing ITS Sinhala voices. In a Text To Speech (TTS) system, quality of the synthetic ...
  • Ananya - a named-entity-recognition (ner) system for sinhala language 
    Manamini, SAPM; Ahamed, AF; Rajapakshe, RAEC; Reemal, GHA; Jayasena, S; Dias, GV; Ranathunga, S [Conference-Full-text]
    Named-Entity-Recognition (NER) is one of the major tasks under Natural Language Processing, which is widely used in the fields of Computer Science and Computational Linguistics. However, the amount of prior research ...
  • Automatic Creation of a Sentence Aligned Sinhala-Tamil Parallel Corpus 
    Hameed, RA; Pathirennehelage, N; Ihalapathirana, A; Mohamed, MZ; Ranathunga, VSD; Jayasena, S; Dias, G; Fernando, S [Article-Abstract]
    A sentence aligned parallel corpus is an important prerequisite in statistical machine translation. However, manual creation of such a parallel corpus is time consuming, and requires experts fluent in both languages. ...
  • Automatic creation of a word aligned Sinhala-Tamil parallel corpus 
    Mohamed, MZ; Ihalapathirana, A; Hameed, RA; Pathirennehelage, N; Ranathunga, S; Jayasena, S; Dias, G [Conference-Abstract]
    A parallel corpus aligned at both sentence and word level is an important prerequisite in statistical machine translation. However, manual creation of such a parallel corpus is time consuming, and requires experts fluent ...
  • Bilingual lexical induction for sinhala-english using cross lingual embedding spaces 
    Liyanage, A; Ranathunga, S; Jayasena, S [Conference-Full-text]
    Bilingual lexicons are an important resource in Natural Language Processing (NLP). Such resources are scarce for Low Resource languages (LRLs) such as Sinhala. However, research on Bilingual Lexical Induction (BLI) on low ...
  • Comprehensive Part-Of-Speech Tag Set and SVM Based POS Tagger for Sinhala 
    Fernando, S; Ranathunga, S; Jayasena, S; Dias, G
    This paper presents a new comprehensive multi-level Part-Of-Speech tag set and a Support Vector Machine based Part-Of-Speech tagger for the Sinhala language. The currently available tag set for Sinhala has two limitations: ...
  • Debas – a sinhala interactive voice response system 
    Nallathamby, JD; Kariyawasam, KKR; Pullaperuma, HD; Vithana, DC; Jayasena, S [Conference-Full-text]
    Although there are widely used Interactive Voice Response (IVR) systems in many languages today, there is no Sinhala language IVR system yet. This paper talks about an approach taken in developing a complete Sinhala IVR ...
  • deBas: a sinhala Interactive voice response (IVR) system 
    Nallathamby, JD; Kariyawasam, KKR; Pullaperuma, HD; Vithana, DC; Jayasena, S [Conference-Full-text]
    Although there are widely used Interactive Voice Response (IVR) systems in many languages today, there is no Sinhala language IVR system yet. This paper talks about deBas IVR: a complete Sinhala IVR with automatic speech ...
  • Detection of false sharing using machine learning 
    Jayasena, S; Amarasinghe, S; Abeyweera, A; Amarasinghe, G; De Silva, H; Rathnayake, S; Meng, X; Liu, Y
    False sharing is a major class of performance bugs in parallel applications. Detecting false sharing is difficult as it does not change the program semantics. We introduce an efficient and effective approach for detecting ...
  • Distinguishing real web crawlers from fakes: googlebot example 
    Algiryage, N; Dias, G; Jayasena, S [Conference-Full-text]
    Web crawlers are programs or automated scripts that scan web pages methodically to create indexes. Search engines such as Google, Bing use crawlers in order to provide web surfers with relevant information. Today there ...
  • Fast computation of stock market indices using GPUs 
    Induwara, S; Jayasena, S [Conference-Full-text]
    The stock market index is a valuable financial tool to measure the state of a segment of the stock market. With high input data rates, real-time index computation is a challenging task. It cannot be done in real-time with ...
  • Fine-tuning self-supervised multilingual sequence-to-sequence models for extremely low-resource nmt 
    Thillainathan, S; Ranathunga, S; Jayasena, S [Conference-Full-text]
    Neural Machine Translation (NMT) tends to perform poorly in low-resource language settings due to the scarcity of parallel data. Instead of relying on inadequate parallel corpora, we can take advantage of monolingual data ...
  • Green bim for existing buildings 
    Rathnasiri, P; Jayasena, S [Conference-Full-text]
    There was a flourishing interest and cognizance on green building constructions in past few decades due to considerable negative impacts for the environment from traditional construction processes. In light of this, number ...
  • The impact of professionals’ knowledge on innovation adoption in the construction industry: A critical literature review 
    Weerapperuma, U; Jayasena, S; Rathnasinghe, A; Thurairajah, N [Conference-Full-text]
    The construction industry is one of the leading economic sectors in any country yet is renowned for its reluctance to adopt novel innovations. Meanwhile, research has found that the decision of any industry on the adoption ...
  • Improving back-translation with iterative filtering and data selection for sinhala-english nmt 
    Epaliyana, K; Ranathunga, S; Jayasena, S [Conference-Full-text]
    Neural Machine Translation (NMT) requires a large amount of parallel data to achieve reasonable results. For low resource settings such as Sinhala-English where parallel data is scarce, NMT tends to give sub-optimal results. ...
  • Integration of bilingual lists for domain-specific statistical machine translation for sinhala-tamil 
    Farhath, F; Ranathunga, S; Jayasena, S; Dias, G [Conference-Full-text]
    Availability of quality parallel data is a major requirement to build a reasonably well performing statistical machine translation (SMT) system. Thus, developing a decent SMT system for a low-resourced language pair ...
  • Interdisciplinary approach to disaster resilience education and research 
    Faber, MH; Giuliani, L; Revez, A; Jayasena, S; Sparf, J; Mendez, JM [Conference-Abstract]
    This paper is based on the results of a survey on “Interdisciplinary working in disaster resilience” conducted by the WP4 work group of the ANDROID Network. The survey had the aim of gathering information on the state of ...
  • It enabled services in the Sri Lankan healthcare sector 
    Pereira, N; Jayasena, S [Conference-Extended-Abstract]
    Process Automation concentrates on automating structured processes of an organization in order to achieve excellent service delivery by enabling the employees to pay more attention to semi structured or unstructured ...
  • Kathana - fluent speech recognition system based on hidden markov model for Sinhala language 
    Jayasena, S; Wimalawame, K; Munasinghe, TR; Cooray, NMP; Yatawattc, HR; Rajapakse, DCP [Conference-Full-text]
    This paper discusses speech recognition based on Hidden Markov Model for Sinhala language. There are two main speech technology concepts in this scenario as speech synthesis and speech recognition. Speech synthesis is ...
  • Latency-Aware Secure Elastic Stream Processing with Homomorphic Encryption 
    Rodrigo, A; Dayarathna, M; Jayasena, S [Article-Full-text]
    Increasingly organizations are elastically scaling their stream processing applications into the infrastructure as a service clouds. However, state-of-the-art approaches for elastic stream processing do not consider the ...