Abstract: Implementations of the disclosure provide a method, system and computer program product for model localization. In an implementation of the disclosure, a method for model localization includes parsing a model to identify translatable terms, generating a seed file associating each of the translatable terms with a corresponding tag and replacing each translatable term in the model with a corresponding tag and submitting each of the translatable terms to machine translation for a target language to produce a different translation file mapping each tag from the seed file with a translated term in the target language of a corresponding one of the translatable terms. Then, the model may be deployed in a data analytics application using the different translation file to dynamically translate each translatable term into a corresponding translated term within a user interface to the data analytics application.

Abstract: Implementations of the disclosure provide a method, system and computer program product for model localization. In an implementation of the disclosure, a method for model localization includes parsing a model to identify translatable terms, generating a seed file associating each of the translatable terms with a corresponding tag and replacing each translatable term in the model with a corresponding tag and submitting each of the translatable terms to machine translation for a target language to produce a different translation file mapping each tag from the seed file with a translated term in the target language of a corresponding one of the translatable terms. Then, the model may be deployed in a data analytics application using the different translation file to dynamically translate each translatable term into a corresponding translated term within a user interface to the data analytics application.

Abstract: Embodiments of the invention provide a method, system and computer program product for model localization. In an embodiment of the invention, a method for model localization includes parsing a model to identify translatable terms, generating a seed file associating each of the translatable terms with a corresponding tag and replacing each translatable term in the model with a corresponding tag and submitting each of the translatable terms to machine translation for a target language to produce a different translation file mapping each tag from the seed file with a translated term in the target language of a corresponding one of the translatable terms. Then, the model may be deployed in a data analytics application using the different translation file to dynamically translate each translatable term into a corresponding translated term within a user interface to the data analytics application.

Abstract: Embodiments of the invention provide a method, system and computer program product for model localization. In an embodiment of the invention, a method for model localization includes parsing a model to identify translatable terms, generating a seed file associating each of the translatable terms with a corresponding tag and replacing each translatable term in the model with a corresponding tag and submitting each of the translatable terms to machine translation for a target language to produce a different translation file mapping each tag from the seed file with a translated term in the target language of a corresponding one of the translatable terms. Then, the model may be deployed in a data analytics application using the different translation file to dynamically translate each translatable term into a corresponding translated term within a user interface to the data analytics application.

Abstract: A personal monitoring apparatus and methods of using the personal monitoring apparatus for contacting one or more third parties through wireless signals and/or a communication network in the event of an emergency. The personal apparatus comprises a data storage device configured to store information selected from the group consisting of user identification information, GPS location information, health information, insurance information, third party contact information and environmental information, a wireless transmitter connected to the data storage device, configured to transmit the information of the data storage device to a third party and an input device configured to simultaneously or near simultaneously activate the wireless transmitter, transmit the stored information of the data storage device and open a line of communication with the third party.

Abstract: A personal monitoring apparatus and methods of using the personal monitoring apparatus for contacting one or more third parties through wireless signals and/or a communication network in the event of an emergency. The personal apparatus comprises a data storage device configured to store information selected from the group consisting of user identification information, GPS location information, health information, insurance information, third party contact information and environmental information, a wireless transmitter connected to the data storage device, configured to transmit the information of the data storage device to a third party and an input device configured to simultaneously or near simultaneously activate the wireless transmitter, transmit the stored information of the data storage device and open a line of communication with the third party.