Neînelegeri

Neînelegeri is a neologism used in some circles of linguistics and information studies to refer to the study of misinterpretations that arise in cross-linguistic and cross-cultural communication, particularly in digital and automated environments. The field investigates how meanings diverge between speakers, listeners, and artificial agents, and how context, prior knowledge, and modality shape understanding.

Status and scope: The term is not widely standardized and is used variably. It emerged in the 2010s and 2020s in interdisciplinary discussions about communication technology and AI ethics. Some researchers use neînelegeri to describe general phenomena of misunderstanding, while others reserve it for systematic analyses of grounding failures and inferential gaps in automated systems.

Key concepts: Grounding, alignment, and epistemic uncertainty are central. Neînelegeri emphasizes how pragmatic inference, cultural assumptions, and technical constraints interact to produce misinterpretations. It also considers feedback processes that correct or exacerbate misunderstandings, such as clarification requests, user corrections, and model fine-tuning.

Methods: The approach combines discourse analysis, cognitive experiments, and computational modeling. Researchers may measure misalignment rates, grounding adequacy, and semantic drift in corpora or controlled experiments, and test interventions such as explicit grounding protocols or user-guided calibration.

Applications: The concepts are used to improve machine translation, conversational agents, and digital collaboration tools, as well as to inform education, policy communication, and cross-cultural mediation. Critics argue that the term is diffuse and that clearer definitions are needed for comparative work.