Markup Languages for Novels and Short Stories

Discover established markup languages for novels and short stories, and learn about speaker identification using ML models.

Discover established markup languages for novels and short stories, including XML-based solutions.

XML is a widely used markup language for structuring and representing data in various formats.

• TEI (Text Encoding Initiative) is a markup language specifically designed for encoding literary and linguistic texts.
• PREMIS is a metadata standard for describing digital objects and their preservation.

For marking up dialogue, consider using TEI or XSLT transformations to extract and analyze character dialogue.

Regarding speaker identification, open-source ML models like Annoy and DETR can be used for speaker recognition tasks.

Training data for speaker identification can be found in datasets like Kaggle and Hugging Face.

Tags: markup languages, novels, short stories, XML, TEI, PREMIS, speaker identification, ML models, training data