Apple Inc.

Vivek Kumar Rangarajan Sridhar

Vojtech Jina

Seth J Hildick-Smith

Peter M Kirby

Jerome Rene Bellegarda

Vignesh Jagadeesh

Giulia Maria Pagallo

Randal J Marsden

Douglas R Davidson

Bishal Barman

Justin S Hogg

Xingwen Xu

Systems and processes for providing response suggestions are provided. In one example process, a textual representation of a message is received. Based on the textual representation of the message, one or more response categories and a predetermined number of suggested inputs corresponding to each of the one of more response categories are obtained. Based on the predetermined number of suggested inputs corresponding to each of the one of more response categories, one or more suggested inputs for each of the one or more response categories are determined. The one or more suggested inputs are provided as response suggestions to the message.

Providing message response suggestions

The present disclosure generally relates to text correction and generating text correction models. In an example process for text correction, text input is received. In response to receiving the text input, a text string corresponding to the text input is displayed. The text string is represented by a token sequence. The process determines whether an end of the token sequence corresponds to a text boundary. In accordance with a determination that the end of the token sequence corresponds to a text boundary, the process determines, based on a context state of the token sequence, one or more textual errors at one or more tokens of the token sequence. An error indication for a portion of the text string corresponding to the one or more tokens is displayed.

Text correction

A device implementing a system for expanded search includes a processor configured to identify plural words, and generate, for each word of the plural words, a word vector based on a proximity of the word relative to other words of the plural words, the word vector comprising plural dimensions. The processor is further configured to create a compressed word vector structure comprising clusters of subsets of the plural dimensions across the word vectors, each cluster including similar values of the respective dimensions, convert the word vectors to points on at least one plane, and partition the at least one plane into nested groupings of the points based on a threshold number of points per nested grouping. The processor is further configured to create a tree look-up structure of the nested groupings, and provide the compressed word vector structure and the tree look-up structure to a client device.

Expanding indexed terms for searching files

At an electronic device with a display screen, display a message transcript, where the message transcript includes an incoming message. Determine, based at least in-part on the message, a plurality of suggested one or more characters. Determine if the user of the device has, in the past, frequently inputted a response different from the plurality suggested one or more characters when the plurality were presented for user selection. Optionally, determine if the frequently inputted response is synonymous with a suggested one or more characters. Display the frequently-inputted response, in place of at least one of the plurality of suggested one or more characters, under some circumstances based on these determination(s).

Personalized prediction of responses for instant messaging

Systems and processes for multilingual word prediction are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, identifying context information of the electronic device and generating, with the one or more processors, a plurality of candidate words based on the context information, wherein a first candidate word of the plurality of candidate words corresponds to a first language of a plurality of languages and a second candidate word of the plurality of candidate words corresponds to a second language of the plurality of languages different than the first language.

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Sunnyvale, CA, United States of America

Vivek Kumar Rangarajan Sridhar