Annotálhatók

Annotálhatók is a Hungarian linguistic term that refers to objects or entities that can be annotated. In information science, “annotálhatók” denotes items that are eligible for annotation, meaning that metadata, comments, or explanatory notes can be added to them. The concept is widely used in digital humanities, computational linguistics, and data management, where annotátives become the foundation for further analysis.

The term stems from the verb “annotálni” (to annotate), with the suffix -hatók indicating potential or ability. As a plural noun, it describes collections of data, documents, or other artifacts that are marked up for a specific purpose. An annotáható set can include linguistic corpora, images, video, audio files, or even software source code. Each member of the set receives additional information – tags, classifications, syntactic trees, or transcriptions – that improves its accessibility, searchability, and reusability.

In corpus linguistics, annotálhatók are often word or sentence units that linguists annotate with part‑of‑speech tags, morphological features, and syntactic dependencies. In machine learning, labeling each data point within an annotáható dataset is essential for supervised training. In digital libraries, annotáció of digitized manuscripts allows scholars to record marginalia and analytical commentary.

The purpose of designating something as annotálható is to facilitate systematic annotation workflows. By marking items explicitly, tools like annotation software can enforce consistency, provide quality checks, and maintain version control. When the process is completed, the annotated data can be shared, repurposed, or archived with a clear provenance of the annotations.

Overall, annotálhatók play a critical role in knowledge management, enabling richer representation of raw materials and supporting research across the humanities, social sciences, and technology sectors.