A content management system provides a mechanism for multi-file check-in features useful for content management. The content management system provides a way for users to check in multiple files in a single action. The system allows users to either select assets (e.g., files) or drag and drop multiple assets to be checked in. The assets being checked in are automatically matched with checked out assets, and once matched, unlocked.

Provided are systems, methods, and computer-readable medium for obtaining specific information about one or more psychological conditions. The information is obtained in a manner such that a second response is based on a first response. Once the information has been obtained, a customized content program for responding to the one or more psychological conditions may be generated.

A system provides a mechanism for providing a multi-brand experience. The system provides a way implement a multi-brand experience by adding a layer of information that can be helpful when differentiating among consumers in order to accomplish market segmentation. The multi-brand experience enables each group of users to be presented with a different look and feel of the same application.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input; determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback score associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.

Provided is a method of searching for an app name in a user terminal. The user terminal requests a download of an app from an app storage server. The user terminal transmits a language set in the user terminal and an app name of the app to an app name processing server. The app name processing server acquires a word in the set language corresponding to the app name through a machine learning technique, and stores the acquired word in an app search database (DB) connected in the user terminal.

Systems and methods are disclosed herein for processing a natural language query on data tables. According to some embodiments, a query term is obtained from a natural language query. A table summary is prepared based on the query term and a formula of the natural language query is generated based on the table summary. A result is generated based on the formula. Responsive to receiving negative feedback to the result, one or more of the table summary or the formula is disassociated from the query term.

Techniques described herein relate to facilitating end-to-end multilingual communications with automated assistants. In various implementations, speech recognition output may be generated based on voice input in a first language. A first language intent may be identified based on the speech recognition output and fulfilled in order to generate a first natural language output candidate in the first language. At least part of the speech recognition output may be translated to a second language to generate an at least partial translation, which may then be used to identify a second language intent that is fulfilled to generate a second natural language output candidate in the second language. Scores may be determined for the first and second natural language output candidates, and based on the scores, a natural language output may be selected for presentation.

In some examples, one or more processors configured by executable instructions receive, from a first computing device, at least one key-to-string mapping related to updated software located at a repository. The one or more processors further receive an indication of a target locale associated with the updated software. The one or more processors may compare a first string from the at least one key-to-string mapping with translated strings maintained in a database in association with the target locale to determine that a translated version of the first string for the target locale is present in the database. The one or more processors may send the translated version of the first string from the database to the first computing device in association with the updated software located at the repository.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training a dialog system using user feedback. According to one implementation, a method includes receiving, by a dialog engine and from a computing device, a voice input, determining, by the dialog engine, that the received voice input is classified as feedback to an answer of a question; identifying, by the dialog engine, a predetermined feedback scare associated with the feedback; and adjusting a confidence score associated with the question and the answer based on the predetermined feedback score.

Systems and methods for providing a multi-language search include a query receiver that receives a search query from a search user interface that includes a search term in a first language. A search results evaluator determines whether execution of the search query will produce a sufficient number of search results. A cross-language search manager, in response to determining that the processing of the search query will not produce the sufficient number of search results, obtains a first translated version of the search term, requests that a search be executed by a search engine based on at least the search term and the first translated version of the search term, receives a set of search results from the search engine based on the search; and returns the set of search results to the search user interface.