CROSS-LINGUAL NLP FOR INDUSTRY TERMINOLOGY: CHALLENGES AND SOLUTIONS

The volume of specialized documentation is growing quickly as IT infrastructures globalize. Accurate handling of terms from cloud platforms, DevOps pipelines, and information-security systems is critical for automatic terminology-aware translation. Generic transformer models often meet lexical ambiguity, morphological redundancy, and limited coverage of highly specialized terms in their training data. This study examines three main obstacles—domain shift, data sparsity, and terminological drift - and presents an integrated approach that blends transformer fine-tuning, ontology integration, and semantic embedding alignment.