A method includes receiving an initial electronic file where the initial electronic file is associated with a work product. The method further includes resolving, automatically, an electronic file content type associated with the initial electronic file and executing, automatically, at least one subscription program associated with the electronic file content type of the initial electronic file. The method further includes retrieving an enhanced electronic file based on a matter security level. The enhanced electronic file is associated with an indication of completion of the at least one subscription program. Another embodiment includes extracting a set of metadata from the initial electronic file and storing the set of metadata from the initial electronic file in a memory. Yet another embodiment includes populating, automatically, at least one field within a field-oriented electronic file from the set of metadata.

A terminal device uploads data to a storage device. The terminal device includes a processor and a memory storing instructions that cause the device to determine whether data to be uploaded is a file or a partial dataset being used by an application, determine whether one or more data objects created in a given format is included in the data to be uploaded determined to be the partial dataset, generate image data and a shared byte string from the data to be uploaded if the data objects created in the given format are included in the data to be uploaded, send the data to be uploaded to the storage device as shared data if the data to be uploaded is the file, and send the image data and the shared byte string to the storage device as the shared data if the data to be uploaded is the partial dataset.

Systems and methods for neural machine translation are provided. In one example, a neural machine translation system translates text and comprises processors and a memory storing instructions that, when executed by at least one processor among the processors, cause the system to perform operations comprising, at least, obtaining a text as an input to a neural network system, supplementing the input text with meta information as an extra input to the neural network system, and delivering an output of the neural network system to a user as a translation of the input text, leveraging the meta information for translation.

In one general embodiment, a computer-implemented method includes identifying a data dump and a predefined data structure, parsing the predefined data structure to determine one or more identifiers within the predefined data structure, determining that a match exists between one or more elements of the data dump and the one or more determined identifiers of the predefined data structure, and formatting the data dump utilizing the predefined data structure, in response to the determining.

It is an object to reduce a troublesomeness required to export/import an address book (destination table) between image processing apparatuses. For this purpose, at the time of import request of destination data for import, an import instruction to a group destination table is made. A group destination table ID which coincides with a destination table ID obtained from the destination data for import is retrieved. The group destination table associated with the group destination table ID is specified as a group destination table of an import destination side. The destination data obtained from the destination data for import is imported as destination data into the specified group destination table (group destination table DB).

Disclosed are a data synchronization method, system, data synchronization server and terminal. A synchronization server determines the source of corresponding digital content according to the brief information uploaded by a user, and determines, according to the source of the digital content, to store the brief information only or further store the storage position information of the digital content or the digital content itself, thus reducing the data traffic for data backup, simplifying data migration difficulty when the user replaces a terminal, and reducing the communication cost of the user and the network resource pressure of a carrier.

A method and system for synchronization of Relational Database Management System (RDBMS) to non-Structured Query Language (noSQL) database receives a user request and associated predefined business logic from a user device for retrieving one or more transactional data and synchronizes the RDBMS to the noSQL database based on the predefined business logic. The database synchronization system segregates the predefined business logic into one or more processing divisions and assigning the one or more processing divisions to the RDBMS and the noSQL database. Further, the noSQL database retrieves data related to one or more elements of one or more tables related to the one or more transactional data from the RDBMS. Thereafter, the noSQL database transforms the retrieved data and provide to the database synchronization system. Finally, database synchronization system provides transformed data received from the noSQL database to the user device.

A method for upgrading firmware of an adapter, an apparatus, and a system are provided. The method includes receiving, by an adapter, an upgrade file in accordance with a Universal Asynchronous Receiver/Transmitter (UART) format, which is transferred by a converter, via a data line of a charging interface of the adapter, where the converter is configured to convert the upgrade file in accordance with a Universal Serial Bus (USB) in a personal computer (PC) into the upgrade file in accordance with the UART format for transmitting the upgrade file in accordance with the UART format to the adapter; and processing, by a microcontroller unit (MCU), the upgrade file in accordance with the UART format for upgrading the firmware of the adapter when the adapter is in an upgrading mode, where the MCU is built in the adapter.

Systems and methods for neural machine translation are provided. In one example, a neural machine translation system translates text and comprises processors and a memory storing instructions that, when executed by at least one processor among the processors, cause the system to perform operations comprising, at least, obtaining a text as an input to a neural network system, supplementing the input text with meta information as an extra input to the neural network system, and delivering an output of the neural network system to a user as a translation of the input text, leveraging the meta information for translation.

Systems and methods are disclosed for bidirectional multifunction communication between a computing device and applications located at an external server. The bidirectional communications allows an operation to be performed on a file using a computing device and an external server. In one implementation, an application resides on a desktop computer that is connected to the Internet. The application sends a request to an external server accessible through the Internet using a bidirectional communication system. The server accepts and processes the request and provides data back to the computer via the same bidirectional communication system. A user may then access the data, manipulate it and provide an additional request to the server via the bidirectional communication system.