Text summarization using part-of-speech

Abstract

Text is summarized using part-of-speech (POS) data indicating parts of speech for tokens in the text. The POS data can be obtained using input text data defining the text, such as by POS tagging. The POS data can be used to obtain group data indicating groups of tokens of the text, such as verb groups and noun groups. The group data can also indicate, within each group, any tokens that meet a POS based removal criterion. The group data can be used to obtain summarized text data by removing tokens that meet the removal criterion. The original text may be obtained via scanner or video camera from a user's document, and may be recognized to obtain input text data. The summarized text may output as text or as audio pronunciation using a speech synthesizer.