Systems and methods to identify most suitable grammar suggestions among suggestions from a machine translation model
US11636274B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2020 |
| Grant date | Apr 25, 2023 |
| Priority date | — |
| Expiry date | Nov 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A set of candidate edits for a word of a sentence is obtained. Each of the set of candidate edits includes an edit word. Two or more surrounding words that each have a dependency relationship with the edit word are identified in the sentence. At least one of the two or more surrounding words is identified irrespective of their proximity to the edit word. The dependency relationship between the edit word and each of the surrounding words and the set of candidate edits is provided as input to a grammar accuracy prediction model. One or more outputs of the grammar accuracy prediction model are obtained. The one or more outputs indicate grammatical accuracy of each candidate edit from the set in the sentence in view of the dependency relationship with surrounding words. The candidate edit with highest accuracy is selected from the candidate edit set for the sentence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.