Sinhala – English Bilingual Translator

Abstract

This research paper introduces and assesses the performance of a Sinhala to English and English to Sinhala translator, accompanied by innovative Sinhala and English keyword extractors. The translator employs the Google API for precise language translation, while the keyword extractors utilize advanced Natural Language Processing techniques and Part-of-Speech tagging. The paper offers a detailed examination of the system's development and its potential applications, highlighting its significance in facilitating effective communication across linguistic boundaries. Additionally, the paper focuses on the accurate identification and extraction of keywords from text in Sinhala and English, showcasing the potential benefits for various natural language processing applications. Furthermore, this study undertakes a comprehensive performance evaluation, employing key metrics such as accuracy, precision, and recall for both translation and keyword extraction processes. This rigorous analysis provides valuable insights into the system's capabilities and areas for potential refinement. The research also explores the practical applications of this technology across various sectors, contributing significantly to breaking down language barriers and fostering global connectivity. The comprehensive approach presented in this paper not only addresses the immediate need for seamless translation but also lays the groundwork for future innovations in multilingual communication technologies.