This invention describes a computer system designed to understand and process information that might be presented in various styles or formats, such as a mix of text, code, or diagrams. It analyzes all parts of the input together to determine the underlying format, or "formalism type," and how likely different elements are to coexist within that format. Once the system identifies the appropriate formalism, it processes the input to generate an output that is consistent with that style, potentially even combining different formats in the output. The claims specifically focus on handling inputs that contain elements from multiple distinct formalisms and producing outputs that also combine different formalisms.
Why it matters: In 2015, the "holistic analysis" and "likelihood" determination for diverse input types would have relied on simpler probabilistic models or extensive hand-crafted rules. Today, the rapid advancements in multimodal AI and large language models make sophisticated recognition and generation across varied data formalisms significantly more achievable and robust.
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