Architecture that combines capture and translation of concepts, goals, needs, locations, objects, locations, and items (e.g., sign text) into complete conversational utterances that take a translation of the item, and morph it with fluidity into sets of sentences that can be echoed to a user, and that the user can select to communicate speech (or textual utterances). A plurality of modalities that process images, audio, video, searches and cultural context, for example, which are representative of at least context and/or content, and can be employed to glean additional information regarding a communications exchange to facilitate more accurate and efficient translation. Gesture recognition can be utilized to enhance input recognition, urgency, and/or emotional interaction, for example. Speech can be used for document annotation. Moreover, translation (e.g., speech to speech, text to speech, speech to text, handwriting to speech, text or audio, . . . ) can be significantly improved in combination with this architecture.