System and method for requirements recognition for system-on-a-chip verification

A system for analyzing documents to be used for verifying a system-on-a-chip (SoC), the system comprising:

• a parser configured to analyze a technical document associated with the SoC to generate multiple text fragments;
• a data preparator configured to convert the multiple text fragments into a dataset suitable for a machine learning model;
• a machine learning model block configured to receive the dataset and perform a training mode including multiple training epochs or an inference mode;
• and
• a documents processor,
• wherein the technical document includes at least one of a labeled document for the training mode and an unlabeled document for the inference mode,
• wherein the machine learning model block is configured to:
• in each training epoch of the training mode, train the machine learning model based on the dataset such that a label is appended to each text fragment, and
• in the inference mode, make a prediction for each text fragment of the dataset based on the training result of the machine learning model to generate the dataset with prediction values, and
• wherein the documents processor is configured to receive the unlabeled document and the dataset with the prediction values, and convert the source unlabeled document based on the dataset with the prediction values into a source labeled document used for verifying the SoC.