US 11,809,804 B2
Text formatter
Alfredo Láinez Rodrigo, Madrid (ES); Luke Percival de Oliveira, San Francisco, CA (US); Umair Akeel, San Ramon, CA (US); and Tyler Cole, Diamond Bar, CA (US)
Assigned to Twilio Inc., San Francisco, CA (US)
Filed by Twilio Inc., San Francisco, CA (US)
Filed on May 26, 2021, as Appl. No. 17/303,279.
Prior Publication US 2022/0382959 A1, Dec. 1, 2022
Int. Cl. G06F 40/103 (2020.01); G06N 20/00 (2019.01); G06F 40/166 (2020.01); G06F 40/30 (2020.01)
CPC G06F 40/103 (2020.01) [G06F 40/166 (2020.01); G06N 20/00 (2019.01); G06F 40/30 (2020.01)] 23 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
accessing raw text comprising a plurality of words corresponding to one or more sentences;
creating a plurality of sub-words corresponding to the raw text;
generating, by a machine-learning (ML) model, an output for each sub-word based on the created sub-words, the output for each sub-word indicating a formatting operation for the corresponding sub-word; and
generating, based on the formatting operations in the outputs for the sub-words, formatted text corresponding to the raw text, the text being formatted according to a meaning of words spoken by a speaker associated with the raw text.