annotációkon

Annotációkon is a Hungarian term that translates to "annotations" in English. In the context of annotation, it refers to the act of adding notes, explanations, or commentary to a text, image, audio, or video. These annotations can serve various purposes, such as clarifying meaning, providing context, highlighting important information, or offering feedback.

In linguistics and natural language processing, annotation often involves marking up text with linguistic information like parts of speech, syntactic structures, or semantic roles. This process is crucial for training machine learning models to understand and process human language. For example, a sentence might be annotated to identify nouns, verbs, and adjectives, or to mark named entities like people and organizations.

In digital environments, annotations can be embedded directly within a document or displayed as overlays. This allows users to collaborate, share insights, or simply keep track of their thoughts and observations. In image annotation, specific regions of an image are labeled to train computer vision models, for instance, identifying objects like cars or pedestrians for autonomous driving systems. Similarly, audio and video annotation involves marking timestamps or specific segments to identify events or transcribe speech. The process of creating annotations can be manual, semi-automatic, or fully automatic, depending on the complexity and the desired accuracy.