Methods, systems, and computer-readable media are provided for communicating healthcare-related information in languages specified by communication recipients (e.g., patients and/or patient proxies) utilizing a healthcare IT platform. Aspects herein provide a tool for applying language maps specific to patient-specified languages to information associated with one or more segments of Health Level 7 (HL7) messages to generate communications that can be consumed and understood by communication recipients regardless of the language in which such communication recipients prefer to communicate and whether or not a communication recipient's preferred language is the same as that of a communicating healthcare provider or organization.

Methods, systems, and computer-readable media are provided for communicating healthcare-related information in languages specified by communication recipients (e.g., patients and/or patient proxies) utilizing a healthcare IT platform. Aspects herein provide a tool for applying language maps specific to patient-specified languages to information associated with one or more segments of Health Level 7 (HL7) messages to generate communications that can be consumed and understood by communication recipients regardless of the language in which such communication recipients prefer to communicate and whether or not a communication recipient's preferred language is the same as that of a communicating healthcare provider or organization.

A method, system, and computer-readable media of generating a display on a device, including combining content from a plurality of sources into a display, the content from each of the plurality of sources being presented as a layer of the display, and further, each layer of the display being of substantially the same dimensions, detecting one or more objects in each layer of the generated display, and for one or more of the detected objects determining an object type or classification, determining if the object is overlapping or obscuring an object in a different layer of the generated display, and determining if the object will appear to a viewer as if it will overlap or obscure an object in a different layer of the generated display as a result of the motion, orientation, or gaze of the viewer.

A method includes obtaining n pairs of translation sentences of a source language and a target language, where each of the n pairs of translation sentences includes a source language sentence and a target language sentence that are translations of each other, extracting a source language segment from each source language sentence in the n pairs of translation sentences using an extraction rule of the source language, extracting a target language segment from each target language sentence in the n pairs of translation sentences, and generating an extraction rule of the target language based on n target language segments extracted from n target language sentences.

A method includes obtaining n pairs of translation sentences of a source language and a target language, where each of the n pairs of translation sentences includes a source language sentence and a target language sentence that are translations of each other, extracting a source language segment from each source language sentence in the n pairs of translation sentences using an extraction rule of the source language, extracting a target language segment from each target language sentence in the n pairs of translation sentences, and generating an extraction rule of the target language based on n target language segments extracted from n target language sentences.

Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.

Systems, devices, media, and methods are presented for generating a language detection model of a language analysis system. The systems and methods access a set of messages including text elements and convert the set of messages into a set of training messages. The set of training messages are configured for training a language detection model. The systems and methods train a classifier based on the set of training messages. The classifier has a set of features representing word frequency, character frequency, and a character ratio. The systems and methods generate a language detection model based on the classifier and the set of features.

A communication system can include terminal devices that communicate with a social network or a computer server device for scheduling use of conference resources and/or for using conference appliances that may be located in a conference room being used for a video conference or teleconference. The communication system can be configured to permit a user to use such resources without having to have a user's device be physically and directly connected by wiring to a conference appliance or communication device. The communication system can also be configured to validate participants to help ensure that only authorized personnel are properly attending a scheduled conference based on audio and/or video input received for the different participants and can also be configured to allow screen sharing to be performed during a video conference or teleconference.

A communication system can include terminal devices that communicate with a social network or a computer server device for scheduling use of conference resources and/or for using conference appliances that may be located in a conference room being used for a video conference or teleconference. The communication system can be configured to permit a user to use such resources without having to have a user's device be physically and directly connected by wiring to a conference appliance or communication device. The communication system can also be configured to validate participants to help ensure that only authorized personnel are properly attending a scheduled conference based on audio and/or video input received for the different participants and can also be configured to allow screen sharing to be performed during a video conference or teleconference.

In some implementations, a computing device can present a multi-language grouping of topics. For example, the computing device can determine a primary and secondary language for a user of the computing device. The computing device can request configuration that includes a tag language mapping that can be used to translate topic tags corresponding to the secondary language to topic tags corresponding to the primary language. When the computing device receives tagged content items associated with the secondary language, the computing device can translate the secondary language tags corresponding to the tagged content items into semantically equivalent topic tags in the primary language. The computing device can then group primary language content items and secondary language content items into multi-language groupings based on the topics corresponding to the translated content item tags. The computing device can then present the multi-language topic groupings of content items.