Abstract: A method, a processing unit, and a non-transitory computer-readable medium for controlling viewpoint of attendees in immersive environment are disclosed. For controlling viewpoint, initially, presenter input is received. Presenter input indicates objects selected amongst plurality of objects displayed in 360° view of a content in immersive environment. Further, the objects to be displayed are dynamically fixed within viewpoint across the 360° view of the attendees. The objects are dynamically fixed within viewpoint irrespective of inputs received from the attendees to change objects within viewpoint. New objects, amongst the plurality of objects are detected based on at least one of real-time preferences of the attendees and real-time context of the content provided by the presenter. Upon detecting the new objects, the objects are dynamically re-fixed within the viewpoint of the attendees.

Abstract: A method, a processing unit, and a non-transitory computer-readable medium for controlling viewpoint of attendees in immersive environment are disclosed. For controlling viewpoint, initially, presenter input is received. Presenter input indicates objects selected amongst plurality of objects displayed in 360° view of a content in immersive environment. Further, the objects to be displayed are dynamically fixed within viewpoint across the 360° view of the attendees. The objects are dynamically fixed within viewpoint irrespective of inputs received from the attendees to change objects within viewpoint. New objects, amongst the plurality of objects are detected based on at least one of real-time preferences of the attendees and real-time context of the content provided by the presenter. Upon detecting the new objects, the objects are dynamically re-fixed within the viewpoint of the attendees.

Abstract: Systems and methods for generating code-switched semantic parsing training data and training of semantic parsers. In some examples, a processing system may be configured to use a trained first language model to translate a first single-language text sequence and first parsing data into a second code-switched text sequence and associated second parsing data, and to generate a second training example based on the second code-switched text sequence and the second parsing data. In some examples, the processing system may be further configured to generate a training set from two or more of these second training examples, and to use the training set to train a semantic parser to semantically parse code-switched utterances.