termsinvestigar

Termsinvestigar is a neologism used in information science and linguistics to describe a systematic approach to identifying, validating, and analyzing terms within a corpus. The term encompasses processes for discovering relevant terminology, disambiguating sense, and tracking usage across domains.

Origin and name: a portmanteau of terms and investigar (Spanish for to investigate). It emerged in multilingual research communities in the early 2010s as a way to describe integrated terminology studies that combine lexicography, NLP, and corpus analysis.

Methodology: core components include term discovery (term mining), term validation (sense disambiguation, confidence scoring), term analytics (frequency, dispersion, collocations), and term evolution (diachronic changes). Tools include corpus processing pipelines, semantic networks, clustering, and topic models. The approach supports both automated and human-in-the-loop workflows.

Applications: building terminologies for technical fields, standardization efforts, multilingual terminology management, and improving search and retrieval in specialized domains. It is used in academic lexicography, technical writing, and regulatory compliance to ensure consistent terminology.

Examples and limitations: in medical literature, termsinvestigar can map synonyms and prioritize canonical terms for guidelines. Limitations include corpus bias, domain-specific jargon, and the need for curated ontologies to ensure accuracy. The concept is related to terminology management, lexicography, and corpus linguistics.