Facebook, Inc.

Javier Olivan Lopez

Hao Xu

Kiranjit Singh Sidhu

James M Leszczenski

Hisham Rabih Harik

Rebekah Marie Cox

Christopher W Putnam

Yishan Wong

Chad E Little

Marcel Laverdet

Nicolas Vera

Stephen M Grimm

Ting Yin Kwan

Katherine P Losse

Particular embodiments may receive one or more data items associated with a first user of a social-networking system. The one or more data items being related to an entity. One or more data stores may store a social graph of the social-networking system. The social graph may comprise a plurality of nodes and plurality of edges between nodes. The nodes may comprise user nodes corresponding to users of the social-networking system and concept nodes corresponding to concepts. Particular embodiments may identify one or more nodes of the social graph that likely match the entity and associate at least one of the data items to at least one of the identified nodes.

Soft matching user identifiers

Translations for items of user-generated content are received from one or more users associated with a social networking system and/or one or more machine-generated translations. Each translation may translate a content item from a source or original language to a target language. Votes regarding the suitability of the translations are received from one or more users. In one aspect, the option to provide translations and/or vote on translations is provided to those users that are determined to be competent in the source language of the item of user-generated content. Determination of whether a user is competent in the source language can be based on the user profile of the user, the user-generated content of the user, the language competencies of the user's connections, and/or other social signals.

Community translation of user-generated content

Embodiments of the invention provide techniques for translating text in a social network. In one embodiment translations of text phrases are received from members of the social network. These text phrases include content displayed in a social networking system, such as content from social networking objects. A particular member is provided with content including a text phrase in a first language, and the member requests translation into another language. Responsive to this request, a translation of the text phrase is selected from a set of available translations. The selection is based on actions by friends of the member in the social network, the actions being associated with the set of available translations. These actions can the viewing of or approval of translations by the friends, for example. The selected translation is then presented to the member requesting the translation.

Community translation on a social network

Growing community of inventors

Palo Alto, CA, United States of America

Javier Olivan Lopez