公开(公告)号：US20190141004A1

公开(公告)日：2019-05-09

申请号：US16180852

申请日：2018-11-05

Applicant: Facebook, Inc.

Inventor： Matthias Eck ,  Necip Fazil Ayan ,  Ying Zhang ,  Kay Rottman ,  Lukasz Langa

IPC: H04L12/58

Abstract: The present disclosure is directed toward systems and methods for providing translations of electronic messages via a social networking system. For example, systems and methods described herein involve determining whether to provide an electronic message or a translation of the electronic message to a recipient based on social networking activities of the recipient. Furthermore, systems and methods described herein can provide a translation of an electronic message based on an analysis of social networking activities of one or more recipients of the electronic message.

公开(公告)号：US10122670B2

公开(公告)日：2018-11-06

申请号：US14588078

申请日：2014-12-31

Applicant: FACEBOOK, INC.

Inventor： Matthias Eck ,  Necip Fazil Ayan ,  Ying Zhang ,  Kay Rottman ,  Lukasz Langa

IPC: H04L12/58

Abstract: The present disclosure is directed toward systems and methods for providing translations of electronic messages via a social networking system. For example, systems and methods described herein involve determining whether to provide an electronic message or a translation of the electronic message to a recipient based on social networking activities of the recipient. Furthermore, systems and methods described herein can provide a translation of an electronic message based on an analysis of social networking activities of one or more recipients of the electronic message.

公开(公告)号：US10114819B2

公开(公告)日：2018-10-30

申请号：US15192109

申请日：2016-06-24

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Fei Huang ,  Kay Rottmann ,  Necip Fazil Ayan

IPC: G06F17/28 ,  G06F17/20 ,  G06Q50/00

Abstract: Exemplary embodiments relate to techniques for improving a machine translation system. The machine translation system may include one or more models for generating a translation. The system may generate multiple candidate translations, and may present the candidate translations to different groups of users, such as users of a social network. User engagement with the different candidate translations may be measured, and the system may determine which of the candidate translations was most favored by the users. For example, in the context of a social network, the number of times that the translation is liked or shared, or the number of comments associated with the translation, may be used to determine user engagement with the translation. The models of the machine translation system may be modified to favor the most-favored candidate translation. The translation system may repeat this process to continue to tune the models in a feedback loop.

公开(公告)号：US20170371868A1

公开(公告)日：2017-12-28

申请号：US15192109

申请日：2016-06-24

Applicant: Facebook, Inc.

Inventor： Ying Zhang ,  Fei Huang ,  Kay Rottmann ,  Necip Fazil Ayan

IPC: G06F17/28 ,  G06Q50/00

CPC classification number: G06F17/2854 ,  G06F17/2818 ,  G06F17/289 ,  G06Q50/01

Abstract: Exemplary embodiments relate to techniques for improving a machine translation system. The machine translation system may include one or more models for generating a translation. The system may generate multiple candidate translations, and may present the candidate translations to different groups of users, such as users of a social network. User engagement with the different candidate translations may be measured, and the system may determine which of the candidate translations was most favored by the users. For example, in the context of a social network, the number of times that the translation is liked or shared, or the number of comments associated with the translation, may be used to determine user engagement with the translation. The models of the machine translation system may be modified to favor the most-favored candidate translation. The translation system may repeat this process to continue to tune the models in a feedback loop.

公开(公告)号：US09703859B2

公开(公告)日：2017-07-11

申请号：US14470607

申请日：2014-08-27

Applicant: Facebook, Inc.

Inventor： Maxime Boucher ,  Xiao Li ,  Alexander Perelygin ,  Veselin S. Stoyanov ,  Russell Lee-Goldman ,  Necip Fazil Ayan

IPC: G06F17/30

CPC classification number: G06F17/3064 ,  G06F17/3097

Abstract: In one embodiment, a method includes receiving from a client system of a first user an unstructured text query. The method includes parsing the text query to identify one or more n-grams. At least one of the n-grams is an ambiguous n-gram. The method includes searching a plurality of keyword generators to identify one or more keyword suggestions matching the ambiguous n-gram. The method further includes calculating a keyword score for each identified keyword suggestions and generating one or more suggested queries including one or more n-grams identified from the text query. The one or more identified keyword suggestions having a keyword score greater than a threshold keyword score. The method includes sending one or more of the suggested queries to the client system of the first user for display.

公开(公告)号：US20160191448A1

公开(公告)日：2016-06-30

申请号：US14588078

申请日：2014-12-31

Applicant: FACEBOOK, INC.

Inventor： Matthias Eck ,  Necip Fazil Ayan ,  Ying Zhang ,  Kay Rottman ,  Lukasz Langa

IPC: H04L12/58

CPC classification number: H04L51/32 ,  H04L51/063

Abstract: The present disclosure is directed toward systems and methods for providing translations of electronic messages via a social networking system. For example, systems and methods described herein involve determining whether to provide an electronic message or a translation of the electronic message to a recipient based on social networking activities of the recipient. Furthermore, systems and methods described herein can provide a translation of an electronic message based on an analysis of social networking activities of one or more recipients of the electronic message.

Abstract translation: 本公开涉及通过社交网络系统提供电子消息的翻译的系统和方法。 例如，本文描述的系统和方法涉及基于接收者的社交网络活动确定是否向接收者提供电子消息或电子消息的翻译。 此外，本文描述的系统和方法可以基于对电子消息的一个或多个接收者的社交网络活动的分析来提供电子消息的翻译。