Parallel Matnlarda Terminlarni Avtomatik Aniqlash Usullari

Key Points

• This research aims to explore theoretical and practical foundations for automatic terminology detection using parallel texts.
• Analysis of corpus linguistics, statistical models, linguistic rules, and machine learning approaches.
• Examination of terminology extraction processes, alignment mechanisms, and validation techniques for terminological units.
• Evaluation of methods applied to parallel corpora.
• Effective procedures for extracting terminology from parallel texts were established.
• Alignment processes demonstrated a significant improvement in terminology validation mechanisms.
• Findings aid in developing terminological databases and enhancing machine translation systems.