Captions are typically segmented in a way that respects grammatical boundaries and makes them more readable. However, the growth of online video content with captions generated from transcripts means that this segmentation process is often ignored. This study evaluates the effects of text segmentation on caption readability, and proposes a program to automatically segment captions using a parser. The parser-segmented captions readability is also evaluated and compared to human-segmented captions and arbitrarilysegmented captions. Results indicate segmentation influ ences sentence recall, though other wise little difference is found between the different kinds of captioning. CCS Concepts •Human-centered computing → Accessibility design and evaluation methods;