Invention Publication
- Patent Title: SYSTEMS AND METHODS TO IDENTIFY MOST SUITABLE GRAMMAR SUGGESTIONS AMONG SUGGESTIONS FROM A MACHINE TRANSLATION MODEL
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Application No.: US18306174Application Date: 2023-04-24
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Publication No.: US20230259720A1Publication Date: 2023-08-17
- Inventor: Shruti Gupta , Jayakumar Hoskere
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Priority: IN 2041020306 2020.05.14
- Main IPC: G06F40/58
- IPC: G06F40/58 ; G06F40/253 ; G06F40/211 ; G06F40/166 ; G06F40/30

Abstract:
A semantic dependency relationship and/or a syntactic dependency relationship is determined between at least one word of a sentence and any of a set of surrounding words in the sentence. The determined semantic dependency relationship and/or the determined syntactic dependency relationship are provided as input to a machine learning model. One or more outputs of the machine learning model are obtained, the one or more outputs indicating, for a set of candidate edits for the at least one word of the sentence, a grammatical accuracy of each candidate edit of the set of candidate edits in view of the syntactic dependency relationship and/or the syntactic dependency relationship. A candidate edit is selected from the set of candidate edits based on the indicated grammatical accuracy of each candidate edit from the set of candidate edits.
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