Automated sig code translation using machine learning

A computer-implemented method for automated sig code translation using machine learning, the method comprising:

• training, via one or more processors, a machine learning model to analyze sig code utterances,
• receiving a sig code utterance,
• analyzing the sig code utterance using the trained machine learning model,
• wherein the analyzing includes identifying one or more entities within the sig code utterance, and
• wherein the one or more entities includes at least one quantity entity and at least one frequency entity;
• and
• generating an output corresponding to the sig code utterance
• including one or more entity results, each entity result including an entity type, an entity name, and an entity normalized value corresponding to a respective one of the one or more entities within the sig code utterance.

A non-transitory computer readable medium containing program instructions that when executed, cause a computer to:

• train a machine learning model to analyze sig code utterances,
• receive a sig code utterance,
• analyze the sig code utterance using the trained machine learning model,
• wherein the analyzing includes identifying one or more entities within the sig code utterance, and
• wherein the one or more entities includes at least one quantity entity and at least one frequency entity;
• and
• generate an output corresponding to the sig code utterance
• including one or more entity results, each entity result including
• an entity type, an entity name, and an entity normalized value corresponding to a respective one of the one or more entities within the sig code utterance.