Annotated corpora are collections of texts that have been marked up with additional information, such as grammatical tags, semantic labels, or other relevant data. This extra information helps researchers and developers understand the structure and meaning of the language used in the texts. Annotated corpora are essential for various fields, including linguistics, natural language processing, and machine learning. These corpora can be used to train algorithms, improve language models, and conduct linguistic research. By analyzing annotated corpora, researchers can identify patterns, test hypotheses, and develop applications like speech recognition and text analysis. The annotations provide a rich resource for understanding language in context.