Browsing by Author "De Silva L"

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    SiTSE: Sinhala Text Simplification Dataset and Evaluation
    (Association for Computing Machinery, 2025-05-08) Ranathunga S; Sirithunga R; Rathnayake H; De Silva L; Aluthwala T; Peramuna S; Shekhar R; Zitouni I
    Text Simplification is a task that has been minimally explored for low-resource languages. Consequently, there are only a few manually curated datasets. In this article, we present a human-curated sentence-level text simplification dataset for the Sinhala language. Our evaluation dataset contains 1,000 complex sentences and 3,000 corresponding simplified sentences produced by three different human annotators. We model the text simplification task as a zero-shot and zero-resource sequence-to-sequence (seq-seq) task on the multilingual language models mT5 and mBART. We exploit auxiliary data from related seq-seq tasks and explore the possibility of using intermediate task transfer learning (ITTL). Our analysis shows that ITTL outperforms the previously proposed zero-resource methods for text simplification. Our findings also highlight the challenges in evaluating text simplification systems and support the calls for improved metrics for measuring the quality of automated text simplification systems that would suit low-resource languages as well. Our code and data are publicly available: https://github.com/brainsharks-fyp17/Sinhala-Text-Simplification-Dataset-andEvaluation.
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    Sustainable Farmer Development for Agri-Food Supply Chains in Developing Countries
    (MDPI AG, 2023-10-20) De Silva L; Jayamaha N; Garnevska E
    Improving the supplier’s capabilities and relationships with the buyer to improve triple-bottom-line outcomes for multiple actors in the supply chain (including the suppliers and buyers) is the very purpose of sustainable supplier development. We apply the concept of sustainable supplier development in an agri-food context in a developing economy. The study aims to create a theoretical framework that explains how initiatives by buyers (often processors in the agri-food industry) to develop farmers can result in sustainable farmer performance. Collectively, the propositions derived by us via a literature synthesis propose that farmer development leads to farmer capability development and improved relationships (with the buyer), enabling the farmer to achieve sustainable performance (i.e., performance in economic, social, and environmental domains). The importance of the study from a theory-building perspective is that the study attempts to reconcile the supply chain management literature on supplier development in tangible goods manufacturing with the agribusiness literature in developing economies whether or not the farmer occupies the bottom of the income pyramid. The study is also important to academia and policymakers because it acts as a forerunner for the further development of the theoretical model and its testing with a large sample of data to interpret what the results imply from practical and theoretical standpoints.