公开(公告)号：US11544458B2

公开(公告)日：2023-01-03

申请号：US16746009

申请日：2020-01-17

Applicant: Apple Inc.

Inventor： Jerome R. Bellegarda ,  Bishal Barman ,  Douglas Davidson

IPC: G06F40/253 ,  G06F40/30

Abstract: Systems and processes for operating an intelligent automated assistant are provided. In one example process a set of words including a grammatical error is received. The process can generate, using a neural network based on the set of words including the grammatical error and a reference set of words, a transformed set of words and further determine, based on the set of words including the grammatical error and the reference set of words, a reconstructed reference set of words. The process can also determine, based on a comparison of the transformed set of words and the reconstructed reference set of words, whether the transformed set of words is grammatically correct and provide an indication of whether the transformed set of words is grammatically correct to the neural network.

公开(公告)号：US09760559B2

公开(公告)日：2017-09-12

申请号：US14720655

申请日：2015-05-22

Applicant: Apple Inc.

Inventor： Jannes Dolfing ,  Brent Ramerth ,  Douglas Davidson ,  Jerome Bellegarda ,  Jennifer Moore ,  Andreas Eminidis ,  Joshua Shaffer

IPC: G06F17/27

CPC classification number: G06F17/276 ,  G06F17/277

Abstract: Systems and processes for predictive text input are provided. In one example process, a text input can be received. The text input can be associated with an input context. A frequency of occurrence of an m-gram with respect to a subset of a corpus can be determined using a language model. The subset can be associated with a context. A weighting factor can be determined based on a degree of similarity between the input context and the context. A weighted probability of a predicted text given the text input can be determined based on the frequency of occurrence of the m-gram and the weighting factor. The m-gram can include at least one word in the text input and at least one word in the predicted text.