Tekstiannotatsioonis

Tekstiannotatsioonis, also known as text annotation, is the process of adding notes, comments, or other forms of metadata to a text. This can be done manually by a human annotator or automatically by a software tool. The purpose of text annotation is to provide additional information about the text, such as its meaning, structure, or context, which can be useful for various applications, such as natural language processing, information retrieval, and machine translation.

There are several types of text annotation, including:

* Morphological annotation, which involves adding information about the structure of words, such as their parts of speech, inflectional forms, and lemmas.

* Syntactic annotation, which involves adding information about the grammatical structure of sentences, such as their parse trees and dependency relations.

* Semantic annotation, which involves adding information about the meaning of words and phrases, such as their senses, entities, and relations.

* Discourse annotation, which involves adding information about the structure and coherence of texts, such as their topics, themes, and rhetorical relations.

Text annotation can be done at different levels of granularity, from individual words to entire documents. It can also be done at different levels of abstraction, from low-level features, such as part-of-speech tags, to high-level features, such as semantic roles.

Text annotation is an important task in natural language processing, as it provides the necessary input for many machine learning algorithms. It is also an important task in digital humanities, as it allows researchers to analyze and interpret large collections of texts in a systematic and reproducible way.