Abstract: Program code representing a semantic natural language processing (NLP) machine learning (ML) algorithm is stored in a memory. A processor executes the semantic NLP ML algorithm to generate initial scores that represent a degree of matching between candidate responses and an input phrase provided by a user during execution of program code. The processor also modifies one or more of the initial scores using one or more rules that associate a first phrase with a second phrase. The one or more rules are selected to modify the initial scores based on semantic similarity of the user input phrase and the first phrase determined by the semantic NLP ML algorithm and the semantic similarity of the response phrase with a corresponding candidate response. Execution of the program code is modified based on the modified initial scores. In some cases, the semantic NLP ML algorithm is used to implement a video game.

Abstract: A video game system provides dialog responses based on a natural language model (NLM). The NLM is a language model that receives a language input, such as a dialog selection, audio recording, or natural language text input provided by a user of the video game system. In response to the language input, and based on a corpus of natural language candidate lines, the NLM identifies one or more potential responses. The video game system selects a final response from the identified potential responses and provides the selected response to the user via, for example, one or more display frames or via an audio output.