Abstract:
A computer-implemented method includes identifying a text segment including one or more text artefacts and determining a language-specific occurrence database associated with the text segment. The computer-implemented method further includes, for each of said one or more text artefacts, determining a language-specific occurrence value based on the language-specific occurrence database and determining a language-specific compliance value based on each language-specific occurrence value. A corresponding computer program product and computer system are also disclosed.
Abstract:
Disclosed are a method and a computer system for splitting and merging files via a motion input on a graphical user interface. The method comprises determining existence of a motion input; splitting the file into split multiple partial files based on pre-configurations; and generating multiple partial file icons representing the split multiple partial files on the graphical user interface. The multiple partial files may be subsequently merged together.
Abstract:
Providing multi-dimensional password/challenge authentication for a computer device includes, in response to a login request, sending a login webpage, the webpage at least comprising a set of randomly generated icons with graphical attributes for sequentially selecting; and, determining whether each icon choice entered by a user complies with at least a dimensional option preset for each digit of a preset password according to at least a dimensional option of the digit.
Abstract:
An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).
Abstract:
In an approach for smart collaboration, a plurality of images are received. Each image of the plurality of images is from a different device of a plurality of devices. The plurality of images are combined into a single combined image. The combined image is transferred to the plurality of devices.
Abstract:
A computer-implemented method and system launches an application with a preferred user interface (UI) language on a device. The method and system receive a voice command from a user to open an application on a device having a computer. The voice command is compared to a stored command language in an audio file device. The system and method initiates opening the application, in response to determining that the voice command matches the stored command language. The application is identified based on the voice command. The system and method determines a preferred language for the software application based on a language file stored on the computer readable medium and the language file being associated with the stored audio file. The method and system opens the application in response to the voice command, and sets the preferred language for a user interface (UI) of the device in response to the determined preferred language.
Abstract:
A computer program product for taking a corrective action upon determination of an existence of a corrupted text segment within a set of web pages. Determination includes: determining a language affinity indicator corresponding to text segments within the set of web pages; generating an indexing repository based on a set of text artefacts within the text segments; creating an occurrence table for the set of text artefacts; and determining compliance of the text artefacts and text segments based on the single language grouping on which the set of text segments are based.
Abstract:
A computer identifies, within a portion of code, a code element associated with a label. The computer identifies an x-path corresponding to a value associated with the label. The computer transmits a request to translate the value. The computer receives a translated version of the value associated with the label. The computer utilizes the identified x-path to locate the value associated with the label within the portion of code. The computer updates the portion of code by replacing the value associated with the label with the translated version of the value.
Abstract:
Provided are a computer program product, system, and method for verifying translations of text in a source language to target text in a target language. A source similarity score is calculated indicating a similarity between a first text and second text in a source language. A target similarity score is calculated between translated first text, comprising a translation of the first text in a target language, and translated second text, comprising a translation of the second text in the target language. A determination is made whether the translation of the first text to the translated first text is of an inappropriate translation quality based on the source similarity score and the target similarity score. Indication is made of indicating the inappropriate translation quality in response to determining the inappropriate translation quality.
Abstract:
Embodiments are disclosed for a method for dynamic text reading. The method includes performing pre-processing for a text document. Pre-processing includes determining the text document comprises an emotional statement based on an indicator of an emotion associated with the emotional statement. Pre-processing also includes identifying a speaker of the emotional statement. Further, pre-processing includes generating a role-to-voice map that associates the speaker with a digital representation of a voice for the speaker. The method additionally includes generating, based on the pre-processing, the voice for the speaker reading aloud a text of the text document using the digital representation of the voice with a tonal modulation that conveys the emotion.