Updating population language models based on changes made by user clusters
US10176803B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 5, 2017 |
| Grant date | Jan 8, 2019 |
| Priority date | — |
| Expiry date | Jun 5, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/18
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technology for improving the predictive accuracy of input word recognition on a device by dynamically updating the lexicon of recognized words based on the word choices made by similar users. The technology collects users' vocabulary choices (e.g., words that each user uses, or adds to or removes from a word recognition dictionary), associates users who make similar choices, aggregates related vocabulary choices, filters the words, and sends words identified as likely choices for that user to the user's device. Clusters may include, for example, users in a particular location (e.g., sets of people who use words such as “Puyallup,” “Gloucester,” or “Waiheke”), users with a particular professional or hobby vocabulary, or application-specific vocabulary (e.g., word choices in map searches or email messages).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.