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: A computer system 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 artifacts within the text segments; creating an occurrence table for the set of text artifacts; and determining compliance of the text artifacts and text segments based on the single language grouping on which the set of text segments are based.

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 system 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 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-implemented method 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: A computer-implemented method 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-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-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.