This article analyzes translation units as the fundamental elements in building effective bilingual lexicons using the Paratranslator.uz platform. In this study traditional word-level framework approach is explored by addressing specific challenges in machine translation involving Uzbek and English languages. About 3000 translation samples in literary, official, scientific, spoken styles are analyzed by demonstrating translation units incorporating contextual, cultural and grammatical features. According to the findings, machine translation quality is enhanced significantly by revealing translation unit-based lexicons while providing a scalable foundation for expanding linguistic capabilities within the platform.