Abstract: Automatic post-editing of machine translated content using generative AI models is disclosed herein. An example method includes presenting machine translated segments of a document and their associated quality estimation scores, invoking an automated post-editing system for segments with unsatisfactory translation quality, inputting the segments into a generative AI model alongside contextual information, the contextual information comprising a variable window of text adjacent to each of the machine translated segments with unsatisfactory quality estimation scores; producing a revised translation of the segment using the generative AI model and iterating the generative AI process with varying input until a final translation is achieved or a predetermined number of attempts are reached.

Abstract: Automatic post-editing of machine translated content is disclosed herein. An example method includes presenting machine translated segments of a document and their associated quality estimation scores, invoking an automated post-editing system for segments with unsatisfactory translation quality, inputting the segments into a generative AI model alongside contextual information, producing a revised translation of the segment using the generative AI model and iterating the generative AI process with varying prompts until a quality estimation score of the machine translated segment meets or exceeds a quality estimation score threshold, or a predetermined number of attempts are reached.

Abstract: Automatic post-editing of machine translated content is disclosed herein. An example method includes presenting machine translated segments of a document and their associated quality estimation scores, invoking an automated post-editing system for segments with unsatisfactory translation quality, inputting the segments into a generative AI model alongside contextual information, producing a revised translation of the segment using the generative AI model and iterating the generative AI process with varying prompts until a quality estimation score of the machine translated segment meets or exceeds a quality estimation score threshold, or a predetermined number of attempts are reached.

Abstract: Automatic post-editing of machine translated content is disclosed herein. An example method includes presenting a user with machine translated segments of a document and their associated quality estimation scores, allowing a user to invoke an automated post-editing system for segments with unsatisfactory translation quality, inputting the segments into a generative AI model alongside contextual information, producing a revised translation of the segment using the generative AI model and iterating the generative AI process with varying prompts until a satisfactory translation is achieved or a predetermined number of attempts are reached.

Abstract: Method for verifying a display of images on an electronic screen, comprising the following steps: displaying one image on the electronic screen; measuring one value of a display parameter during the display of the image; comparing the measured value of the display parameter with one reference value corresponding to one reference image; and if the measured value corresponds to the reference value, determining that the displayed image corresponds to the reference image. An electronic screen based on light-emitting diodes is used, and a power consumption of a portion of the electronic screen is used as the display parameter.

Abstract: A control and communication unit is provided between a terminal and at least one microcircuit card. The unit includes a control module for a number of input signals to the card; a module for generation of a number of time diagrams for the card communication protocols; a request generation module for transmission and reception of characters based on information received from the control module, the requests being transmitted to an external module; and an interruption generation module for creating an interruption in the case of an error in a time diagram or a character received or transmitted, based on information received from the control module and for processing the interruption without a loss of characters. The generation of an interruption does not cause an interruption in the process of request generation.

Abstract: A control and communication unit is provided between a terminal and at least one microcircuit card. The unit includes a control module for a number of input signals to the card; a module for generation of a number of time diagrams for the card communication protocols; a request generation module for transmission and reception of characters based on information received from the control module, the requests being transmitted to an external module; and an interruption generation module for creating an interruption in the case of an error in a time diagram or a character received or transmitted, based on information received from the control module and for processing the interruption without a loss of characters. The generation of an interruption does not cause an interruption in the process of request generation.