Google Inc.

Kirill Buryak

Aner Ben-Artzi

Jun Peng

Glenn M Lewis

Nadav Benbarak

Luke Hiro Swartz

Andrew Swerdlow

Cibu Chalissery Johny

Yu-Kuan Lin

Jakob David Uszkoreit

Trausti T Kristjansson

Yusuke Konishi

Joshua James Estelle

John Huang

Clement Roux

Hung-ying Tyan

Chung-Yi Wang

Clément Roux

Abraham Murray

Gopal Venu Vemula

Tania Bedrax-Weiss

Frank Worsley

Dana L Dickinson

Fan Yang

Feng Yuan

Peter J Dolan

Robert S Jung

Vinay Shah

Nebojsa Ciric

Chung-yih Wang

Baohua Liao

Jungshik Shin

Vladimir Weinstein

Vladimir Lanin

Gadi Guy

Stuart George Gill

Jeremy Aron-Dine

Steven Lee Scott

Steven Doubilet

Cail Pearce

Owen Carlsen

Rob Christy

Sudhakar Chandrasekharan

Shanjian Li

The disclosed subject matter provides a system, computer readable storage medium, and a method providing an audio and textual transcript of a communication. A conferencing services may receive audio or audio visual signals from a plurality of different devices that receive voice communications from participants in a communication, such as a chat or teleconference. The audio signals representing voice (speech) communications input into respective different devices by the participants. A translation services server may receive over a separate communication channel the audio signals for translation into a second language. As managed by the translation services server, the audio signals may be converted into textual data. The textual data may be translated into text of different languages based the language preferences of the end user devices in the teleconference. The translated text may be further translated into audio signals.

Auto-translation for multi user audio and video

Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium and a method for automatically providing support solutions in response to user feedback items. The method comprises receiving user feedback items and corresponding support solutions. The method further comprises identifying, using clustering techniques, associations between the user feedback items and the corresponding support solutions. The method further comprises storing the identified associations as an items-solutions model that correlates the user feedback items with the corresponding support solutions. The method further comprises receiving a new user feedback item. The method further comprises automatically determining, using the items-solutions model, at least one support solution that corresponds to the new user feedback item. The method further comprises providing the at least one support solution in response to the received new user feedback item.

Customer support solution recommendation system

Information about named entities referenced in an electronic book (ebook) is provided to a client device. An ebook identifier identifying the ebook is received from the client device. A set of layers available for use with the ebook is determined. The layers in the set provide information associated with the ebook and a layer in the set provides information associated with named entities referenced in content of the ebook. A content range identifying a range of content of the ebook for which layer information is requested and an identification of one or more of the layers in the set for which layer information is requested is received from the client device. Layer information associated with the ebook content identified by the content range for the identified layers is transmitted to the client device. The transmitted layer information includes information associated with named entities referenced by ebook content.

Extensible framework for ereader tools, including named entity information

A method and system for classifying documents is provided. A set of document classifiers is generated by applying a classification algorithm to a trusted corpus that includes a set of training documents representing a taxonomy. One or more of the generated document classifiers are executed against a plurality of input documents to create a plurality of classified documents. Each classified document is associated with a classification within the taxonomy and a classification confidence level. One or more classified documents that are associated with a classification confidence level below a predetermined threshold value are selected to create a set of low-confidence documents. The low-confidence documents are disassociated from each of the associated classifications. A user is prompted to enter a classification within the taxonomy for at least one low-confidence document. The low-confidence document is associated with the entered classification and with a predetermined confidence level to create a newly classified document.

Methods and systems for classifying data using a hierarchical taxonomy

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

Computer implemented techniques for performing transliteration of input text in a first character set to a second character set are disclosed. The techniques include receiving input text and determining a set of possible transliterations of the input text based on a plurality of mapping standards. Each mapping standard defines a mapping of characters in the first character set to characters in the second character set. The techniques further include determining a set of candidate words in the target language based on the possible transliterations and a text corpus. The techniques also include determining a likelihood score for each one of the candidate words based on a language model in the target language previously received words. The techniques also include providing one or more candidate words based on the likelihood scores and receiving a user selection indicating one of the candidate words.

Techniques for transliterating input text from a first character set to a second character set

Systems and methods for providing relevant content may include applying a clustering algorithm to posts associated with a device identifier and labeled documents to cluster the unlabeled posts with the labeled documents to determine interests. Content related to the interests may be selected and provided to an electronic device associated with the device identifier.

Clustering of documents for providing content

Methods and systems for use in partitioning documents having customer feedback and support content are provided. One exemplary computer-implemented method including executing instructions stored on a computer-readable medium includes receiving a plurality of documents, at least a portion of the plurality of documents including customer feedback related to an issue and support content responsive to the customer feedback, filtering the plurality of documents to retain one of the customer feedback and the support content within a plurality of filtered documents, partitioning the plurality of filtered documents into multiple clusters, receiving a new document, and partitioning the new document based on at least one keyword included in one of the multiple clusters of filtered documents.

Methods and systems for partitioning documents having customer feedback and support content

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 method, computer program product, and computer system for receiving a message from a first user associated with a network, wherein the message is associated with a location. A notification is sent to a second user associated with a network that the message is available for viewing. Whether the second user is at the location is determined. A computing device associated with the second user is enabled to view only a portion of the message based upon determining that the second user is not at the location. The computing device associated with the second user is enabled to view the message in full based upon determining that the second user is at the location.

Location based message discovery

Growing community of inventors

Sunnyvale, CA, United States of America

Kirill Buryak