LINGUISTIC DATABASE AND SOFTWARE OF MACHINE TRANSLATION

Abstract

This paper presents the design and development of a linguistic database and accompanying software framework for machine translation (MT). The system integrates structured lexical, morphological, syntactic, and semantic data to support accurate and context-aware translation between multiple languages. The linguistic database is built using scalable, language-independent schemas that facilitate the inclusion of diverse language pairs and support rule-based, statistical, and neural MT approaches. The software suite provides tools for parsing, alignment, disambiguation, and synthesis, enabling high-quality translations through modular and extensible components. Emphasis is placed on interoperability, resource sharing, and customization, making the system adaptable for academic research, commercial applications, and low-resource language development. Initial evaluations demonstrate improved translation quality and reduced ambiguity in complex linguistic constructions, highlighting the effectiveness of the integrated linguistic resource.
This article explores the development of a comprehensive linguistic database and associated software designed to support machine translation (MT). The goal is to provide a scalable, modular, and language-independent framework that enhances the accuracy and contextually of automated translations. The integration of morphological, syntactic, semantic, and lexical data into a unified system enables improved translation output, especially for complex and low-resource languages.