Facebook, Inc.

Shaomei Wu

Jeffrey C Wieland

Brett Alden Lavalla

Matt King

Balamanohar Paluri

Hermes Germi Pique Corchs

Juan Miguel Pino

Lada Ariana Adamic

Irina-Elena Veliche

Paul Alexander Dow

Debnil Sur

Amit Bahl

Omid Farivar

Yuhang Zhao

Xian Li

Lindsay Reynolds

In one embodiment, a method includes identifying a plurality of dyslexic users on an online social network. The plurality of dyslexic users may be identified based on content objects posted by these users over a particular time period, where the content objects may include one or more of word-level errors or sentence-level errors. A machine-learning model may be trained for text correction using a corpus of social network data, which may include at least the content objects with one or more of word-level errors or sentence-level errors, and a corresponding set of corrected content objects. A text string including one or more errors may be received from a client system associated with a first user. The text string may be transformed into a vector representation using an encoder of the machine-learning model. A corrected text string may be generated from the vector representation using a decoder of the machine-learning model.

Text correction for dyslexic users on an online social network

Systems, methods, and non-transitory computer-readable media can receive an image. One or more concepts depicted in the image are identified based on machine learning techniques. The one or more concepts are filtered based on filtering criteria to identify one or more selected concepts. An image description is generated comprising the one or more selected concepts.

Systems and methods for image description generation

In one embodiment, a method includes capturing one or more images of a physical environment surrounding the first user; determining that one or more of the images comprises a face; generating a facial image by cropping a region of the image comprising the face; sending instructions to perform facial recognition on the facial image; receiving a name associated with a second user of the online social network, wherein the face is associated with the second user, wherein the first user is represented by a first node on a social graph maintained by the social-networking system and the second user is represented by a second node on the social graph, and the first node and the second node are connected by at least one edge; and providing an audible indication of the name associated with the second user.

Accessibility system

Growing community of inventors

Mountain View, CA, United States of America

Shaomei Wu