{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/thoth-improved-rapid-serial-visual","title":"Thoth: Improved Rapid Serial Visual Presentation using Natural Language Processing","arxiv_id":"1908.01699","date":"2019-08-05","proceeding":null,"authors":["David Awad"],"abstract":"Thoth is a tool designed to combine many different types of speed reading technology. The largest insight is using natural language parsing for more optimal rapid serial visual presentation and more effective reading information.","url_abs":"https://arxiv.org/abs/1908.01699v1","url_pdf":"https://arxiv.org/pdf/1908.01699v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"thoth-improved-rapid-serial-visual","repo_url":"https://github.com/davidawad/thoth","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[{"method_slug":"speed","method_name":"SPEED"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}