This invention helps computers understand what a user wants to do when they speak to it. It takes what the user says, converts it into several possible text interpretations, and then analyzes these texts. It looks for a general topic in the first part of the text and then a specific action word in the second part to figure out the user's goal. The claims narrow this to specifically processing text generated from speech, rather than any text input.
Why it matters: Filed before the widespread adoption of large language models. These models now excel at understanding context and inferring intent from speech, potentially making the described word-matching processes more efficient or less critical as standalone steps.
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