A method and apparatus for generating an interaction record, and a device and a medium are provided. The method includes: firstly, from a multimedia data stream, collecting behavior data, represented by the multimedia data stream, of a user, wherein the behavior data includes voice information and/or operation information; and then, on the basis of the behavior data, generating interaction record data corresponding to the behavior data. According to the technical solution, by means of collecting voice information and/or operation information from a multimedia data stream, and generating interaction record data on the basis of the voice information and the operation information, an interacting user can determine interaction information by using the interaction record data, and the interaction efficiency of the interacting user is improved, thereby also improving the user experience.

The subject matter discloses a method for translating text in an image, comprising extracting at least a portion of the text in a source language from the image, identifying one or more bounding boxes containing the text in the image, translating at least a portion of the text in the source language to a destination language, generating a new image containing the text in the destination language in the bounding boxes of the associated words in the source language.

The subject matter discloses a method for translating text in an image, comprising extracting at least a portion of the text in a source language from the image, identifying one or more bounding boxes containing the text in the image, translating at least a portion of the text in the source language to a destination language, generating a new image containing the text in the destination language in the bounding boxes of the associated words in the source language.

The present invention contributes to reducing the burden on a user while preventing speeches translated into a plurality of languages from interfering with each other. A translation system comprises a camera that obtains surroundings information; a directional speaker that is movable so as to output sound toward a specified position; a directional microphone that is movable so as to receive sound from a specified position; and a translation apparatus that determines a location of a user from the surroundings information obtained by the camera, moves the directional speaker and the directional microphone toward the location of the user, identifies the language of a speech received by the directional microphone, translates the language into another language to output the translated language from another directional speaker, and retranslates the translation in the another language into the language to output the retranslated language from the directional speaker.

A method, apparatus, system, and computer program code for performing a human resource operation using a context-independent conversational flow. The computer system receives an intended human resource operation from an application executing on a user device, identifies the context-independent conversational flow for performing an intended human resource operation, and calls a structured data object according to the context-independent conversational flow. The computer system interprets the structured data object to produce a business rule output, and generates a context-independent response from the business rule output. The computer system transforms the context-independent response according to a user context to produce a context-specific response, and forwards the context-specific response to a user device for display within a conversational user interface of an application.

A method, apparatus, system, and computer program code for performing a human resource operation using a context-independent conversational flow. The computer system receives an intended human resource operation from an application executing on a user device, identifies the context-independent conversational flow for performing an intended human resource operation, and calls a structured data object according to the context-independent conversational flow. The computer system interprets the structured data object to produce a business rule output, and generates a context-independent response from the business rule output. The computer system transforms the context-independent response according to a user context to produce a context-specific response, and forwards the context-specific response to a user device for display within a conversational user interface of an application.

An example operation may include one or more of transferring a copy of a plurality of revised translation data sets to be added to an IVR application into a grid structure, each revised translation data set comprising a prompt name in a first field, an IVR prompt in a second field, a translation of the IVR prompt into a different language in a third field, and a timestamp in a fourth field, executing, via a processor, an accuracy validation on the plurality of revised translation data sets, wherein, for each revised translation data set, the processor identifies whether a respective translation in a different language in a third field is an accurate translation of a respective IVR prompt in a second field based on attributes of the respective translation and the respective IVR prompt, and displaying results of the accuracy validation via a user interface.

An example operation may include one or more of transferring a copy of a plurality of revised translation data sets to be added to an IVR application into a grid structure, each revised translation data set comprising a prompt name in a first field, an IVR prompt in a second field, a translation of the IVR prompt into a different language in a third field, and a timestamp in a fourth field, executing, via a processor, an accuracy validation on the plurality of revised translation data sets, wherein, for each revised translation data set, the processor identifies whether a respective translation in a different language in a third field is an accurate translation of a respective IVR prompt in a second field based on attributes of the respective translation and the respective IVR prompt, and displaying results of the accuracy validation via a user interface.

Implementations described herein relate to methods, systems, and computer-readable media to localize dynamic content. In some implementations, a computer-implemented method includes receiving visual content associated with a game from a first client locale, the visual content including text being represented at the first client locale by a first language, converting the text to generate translated text in at least a second language associated with a second client locale, and storing the translated text in a database in association with the visual content.

Implementations described herein relate to methods, systems, and computer-readable media to localize dynamic content. In some implementations, a computer-implemented method includes receiving visual content associated with a game from a first client locale, the visual content including text being represented at the first client locale by a first language, converting the text to generate translated text in at least a second language associated with a second client locale, and storing the translated text in a database in association with the visual content.