50 citations · 65 across the 18 of their papers we have counts for
8 papers · 1 filter
Evaluation of Contextual Understanding in Large Language Models
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
Large Language Models (LLMs) demonstrate impressive performance across diverse NLP tasks, yet their ability to exhibit genuine contextual understanding remains uncertain. Tradition…
EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation
Surangika Ranathunga, Nisansa de Silva, Aloka Fernando +8
Machine Translation (MT) for low-resource languages remains far behind that of high-resource languages, and the gap is widest in specialised domains, where parallel data is scarce…
OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
Hannah Liu, Muxin Tian, Iqra Ali +8
Sentence simplification aims to make complex text more accessible by reducing linguistic complexity while preserving the original meaning. However, progress in this area remains li…
Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag
Ravinga Perera, Thilakshi Fonseka, Rashmini Naranpanawa +1
The performance of Neural Machine Translation (NMT) depends significantly on the size of the available parallel corpus. Due to this fact, low resource language pairs demonstrate lo…
Adapting the Tesseract Open-Source OCR Engine for Tamil and Sinhala Legacy Fonts and Creating a Parallel Corpus for Tamil-Sinhala-English
Charangan Vasantharajan, Laksika Tharmalingam, Uthayasanker Thayasivam
Most low-resource languages do not have the necessary resources to create even a substantial monolingual corpus. These languages may often be found in government proceedings but ma…
Towards Offensive Language Identification for Tamil Code-Mixed YouTube Comments and Posts
Charangan Vasantharajan, Uthayasanker Thayasivam
Offensive Language detection in social media platforms has been an active field of research over the past years. In non-native English spoken countries, social media users mostly u…
Exploring Deep Neural Networks and Transfer Learning for Analyzing Emotions in Tweets
Yasas Senarath, Uthayasanker Thayasivam
In this paper, we present an experiment on using deep learning and transfer learning techniques for emotion analysis in tweets and suggest a method to interpret our deep learning m…
Concept Discovery through Information Extraction in Restaurant Domain
Nadeesha Pathirana, Sandaru Seneviratne, Rangika Samarawickrama +4
Concept identification is a crucial step in understanding and building a knowledge base for any particular domain. However, it is not a simple task in very large domains such as re…