公开(公告)号：US20230039841A1

公开(公告)日：2023-02-09

申请号：US17972327

申请日：2022-10-24

Applicant: GOOGLE LLC

Inventor： Rishabh Singh ,  Aaron Zemach ,  Chiraag Galaiya ,  Dima Brezhnev ,  David Lick ,  Francisco Velasquez ,  Max Lin ,  Neha Bhargava ,  Peilun Zhang ,  Rahul Srinivasan ,  Simon Tong ,  Victoria Taylor ,  Vishnu Sivaji ,  Zifan Xiao

IPC: G06F8/30 ,  G06F40/18 ,  G06F16/2457

Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.

公开(公告)号：US11481195B2

公开(公告)日：2022-10-25

申请号：US17122290

申请日：2020-12-15

Applicant: Google LLC

Inventor： Rishabh Singh ,  Aaron Zemach ,  Chiraag Galaiya ,  Dima Brezhnev ,  David Lick ,  Francisco Velasquez ,  Max Lin ,  Neha Bhargava ,  Peilun Zhang ,  Rahul Srinivasan ,  Simon Tong ,  Victoria Taylor ,  Vishnu Sivaji ,  Zifan Xiao

IPC: G06F8/30 ,  G06F40/18 ,  G06F16/2457

Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.

公开(公告)号：US20210382697A1

公开(公告)日：2021-12-09

申请号：US17122290

申请日：2020-12-15

Applicant: Google LLC

Inventor： Rishabh Singh ,  Aaron Zemach ,  Chiraag Galaiya ,  Dima Brezhnev ,  David Lick ,  Francisco Velasquez ,  Max Lin ,  Neha Bhargava ,  Peilun Zhang ,  Rahul Srinivasan ,  Simon Tong ,  Victoria Taylor ,  Vishnu Sivaji ,  Zifan Xiao

IPC: G06F8/30 ,  G06F16/2457 ,  G06F40/18

Abstract: Techniques are described herein for automatically synthesizing programs that include one or more functions in a spreadsheet programming language. A method includes: receiving a first example including input provided in a first cell in a spreadsheet; automatically synthesizing a plurality of candidate programs including a first set of candidate programs consistent with the first example, wherein each candidate program in the first set of candidate programs comprises at least one function in a spreadsheet programming language and, when the candidate program is executed, the candidate program generates output that matches the first example; ranking the plurality of candidate programs; and storing a highest-ranked program of the plurality of candidate programs in association with the first cell in the spreadsheet.

公开(公告)号：US10229166B1

公开(公告)日：2019-03-12

申请号：US15793773

申请日：2017-10-25

Applicant: Google LLC

Inventor： Hyung-Jin Kim ,  Simon Tong ,  Noam M. Shazeer ,  Michelangelo Diligenti

IPC: G06F17/30 ,  G06F7/00

Abstract: The present disclosure includes systems and techniques relating to ranking search results of a search query. In general, the subject matter described in this specification can be embodied in a computer-implemented method that includes determining a measure of relevance for a document result within a context of a search query for which the document result is returned, the determining being based on a first number in relation to a second number, the first number corresponding to longer views of the document result, and the second number corresponding to at least shorter views of the document result; and outputting the measure of relevance to a ranking engine for ranking of search results, including the document result, for a new search corresponding to the search query. The subject matter described in this specification can also be embodied in various corresponding computer program products, apparatus and systems.

公开(公告)号：US20230359818A1

公开(公告)日：2023-11-09

申请号：US18246326

申请日：2020-12-18

Applicant: Google LLC

Inventor： Matthew Sharifi ,  Sebastian Millius ,  Qi Wang ,  Yunpeng Li ,  Shankar Kumar ,  Lukas Zilka ,  Simon Tong ,  Martin Sundermeyer

IPC: G06F40/253

CPC classification number: G06F40/253

Abstract: A computing device may receive inputted text and perform, using one or more neural networks, on-device grammar checking of a sequence of words in the inputted text, including determining, using the one or more neural networks, a grammatically correct version of the sequence of words and determining that the sequence of words does not match the grammatically correct version of the sequence of words. The computing device may, in response to determining that the sequence of words does not match the grammatically correct version of the sequence of words, output, for display at a display device, at least a portion of the grammatically correct version of the sequence of words as a suggested replacement for at least a sequence of the sequence of words in the inputted text.