Abstract: An environmental context of a user may be taken into account to enhance the user's communication throughput. An “environmental context” can include spatial surroundings of a user, device, and/or sensor of the device and more broadly to denote the context of the user in a multiplicity of environments such as, for example, the surroundings of a user, a digital environment such as the user or other individuals' interactions with or made near a device, etc. The techniques can include obtaining contextual data to provide context-predicted suggestions of words and/or phrases that a user can select to be output on the user's behalf. In some examples, the techniques can also use contextual data to weight, sort, rank, and/or filter word and/or phrase suggestions.

Abstract: An environmental context of a user may be taken into account to enhance the user's communication throughput. An “environmental context” can include spatial surroundings of a user, device, and/or sensor of the device and more broadly to denote the context of the user in a multiplicity of environments such as, for example, the surroundings of a user, a digital environment such as the user or other individuals' interactions with or made near a device, etc. The techniques can include obtaining contextual data to provide context-predicted suggestions of words and/or phrases that a user can select to be output on the user's behalf, In some examples, the techniques can also use contextual data to weight, sort, rank, and/or filter word and/or phrase suggestions.