Press button Create DATA to create training data in 'simple training style' or JSON. All Sentence starts are highlighted with rose color and whitespaces - with yellow color.

To delete all newline characters and extra whitespaces in the text, select the tab Words and press Remove Whitespaces. Or use button Assign paragraphs in the tab Words to assign paragraphs after new line symbols ' ' in text. To assign new paragraph use context menu or click on the sentence number on the left side. Uncheck it and the sentence will merge with the previous sentence. To merge sentences right-click on the first word of sentence. Context menu allows to edit, delete, insert words or sentences, also merge or split sentences. To edit Doc or Tokens - use Right-click on any word. Select a head tag to assign dependency if you are working in the Dependencies window. Select a tag in TAG SET pannel then select a word to assign the tag. Or you can start with loading your datasets in formats. Choose type of annotation and labels like in the screenshot below and press Ok.

Insert your text or open a text file and press Start tagging (or choose one of the options in Menu/Tools).

spacy for training with spaCy library or pytorch. With TagEditor you can annotate dependencies, parts of speech, Named entities, text categories and Coreference resolution, create your customized annotated data or create a training dataset in formats. TagEditor is a desktop application (requires Windows 10, 64-bit) that allows you to quickly annotate text with the help of spaCy library.

Tag editor free mac