Google Inc.

Cibu Chalissery Johny

Kirill Buryak

Andrew Swerdlow

Luke Hiro Swartz

Clement Roux

Clément Roux

Fan Yang

Feng Yuan

Jeffrey David Oldham

Jungshik Shin

Chinglan Ho

Markus Scherer

Erik Menno Van Der Poel

Neha Chachra

Mark Edward Davis

According to various embodiments of the disclosure techniques for generating outgoing messages are disclosed. The technique includes receiving a request to generate an outgoing message for a recipient and retrieving one or more recipient preferences of the recipient from a recipient preferences database. The one or more recipient preferences relate to customization of messages that are to be delivered to the recipient. The technique further includes retrieving a message template from a plurality of message templates stored in a message template database based on the request and the one or more recipient preferences. The technique also includes generating the outgoing message based on the retrieved message template and the one or more recipient preferences, and providing the outgoing message to the recipient.

Techniques for generating outgoing messages based on language, internationalization, and localization preferences of the recipient

Described is a technique for establishing an interaction language for a user interface without having to communicate with the user in a default language, which the user may or may not understand. The technique may prompt the user for multiples responses in order to determine a specific language. The responses may include speech input or selecting particular regions on a map. In some implementations, the language may be precise to a particular dialect or variant preferred or spoken by the user. Accordingly, this approach provides an accurate and efficient method of providing a high degree of specificity for language selection without overwhelming the user with an unmanageable list of languages.

Language preference selection for a user interface using non-language elements

Techniques for determining one or more preferred languages for a user are provided. The preferred languages may be determined based upon a set of language indicators. The language indicators are analyzed using, for example, rules-based techniques, clustering, language classifiers, and the like, or combinations thereof. Language indicators can include or be derived from information about the user's behavior, location, preferences, social connections, or other data related to the user.

Language detection based upon a social graph

A set of language tags in a backend application can be passed to a frontend application in the form of a language selection tool. The disclosure creates a mapping between the frontend and backend application of at least one non-default language descriptor string onto a language tag of the backend application. The frontend language selection tool then displays to the user the non-default language descriptor string. The use of non-default language descriptor strings clarifies to the user otherwise ambiguous language identifiers.

Language set disambiguator

A computer-implemented technique is presented. The technique can include receiving, at a computing device comprising one or more processors, a first input from a user, the first input including one or more first characters in a first language. The technique can provide for suggestion of potential transliterations to a second language of potential words beginning with the one or more first characters. The technique can present the potential transliterations in either an off-the-spot input configuration or an inline input configuration. The user can then select one of the potential transliterations. The technique can also provide the one or more first characters as an additional or partial word as a potential selection for the user. In this manner, the user can also select the exact one or more first characters that were input to the computing device.

Techniques for predictive input method editors

Cluster-based language detection

A computer-implemented method technique is presented. The technique can include receiving, at a computing device comprising one or more processors, a first input from a user, the first input including one or more first characters in a first language. The technique can provide for suggestion of potential transliterations to a second language of potential words beginning with the one or more first characters. The technique can present the potential transliterations in either an off-the-spot input configuration or an inline input configuration. The user can then select one of the potential transliterations. The technique can also provide the one or more first characters as an additional or partial word as a potential selection for the user. In this manner, the user can also select the exact one or more first characters that were input to the computing device.

Language classifiers for language detection

Rules-based language detection

A process for a language selection using one or more language preferences is disclosed. Information for presenting a language preference selection control may be sent to a user. A language preference may be received from the user and stored to a server. A cookie, which includes an indication of the language preference, may be caused to be stored to a device of a user. The stored language preference may be accessed from the cookie responsive to a communication from the user. Responsive to whether the user has logged into an account, the language preference may be retrieved from either the server or from the cookie. The retrieved language preference may be compared with languages available in an application and a most preferred language for the application may be determined based upon the comparison. Information from the application may be provided to the user in the most preferred language.

Cross-application centralized language preferences

An ordered list of language indicators may be obtained, wherein each of the language indicators is either user defined or system defined. Each language indicator may be ranked according to a priority of the language indicator for determining a most-preferred language for a user. A list of languages may be received that indicates the languages available in an application. The ordered list of language indicators may then be compared to the received languages, and a highest-ranked language indicator determined. The most-preferred language for the user may be selected based upon the highest-ranked language indicator. Information from the application may then be provided to the user in the most preferred language.

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Santa Clara, CA, United States of America

Cibu Chalissery Johny