1. A method of imbuing an artificial intelligence system with idiomatic traits, the method comprising: collecting, by one or more processors, electronic units of speech from an electronic stream of speech, wherein the electronic stream of speech is generated by a first entity; identifying, by one or more processors, tokens from the electronic stream of speech, wherein each token identifies a particular electronic unit of speech from the electronic stream of speech, and wherein identification of the tokens is semantic-free such that the tokens are identified independently of a semantic meaning of a respective electronic unit of speech; populating, by one or more processors, nodes in a first speech graph with the tokens; identifying, by one or more processors, a first shape of the first speech graph; matching, by one or more processors, the first shape to a second shape, wherein the second shape is of a second speech graph from a second entity in a known category; assigning, by one or more processors, the first entity to the known category in response to the first shape matching the second shape; and modifying, by one or more processors, synthetic speech generated by an artificial intelligence system based on the first entity being assigned to the known category, wherein said modifying imbues the artificial intelligence system with idiomatic traits of persons in the known category.
1. A method of imbuing an artificial intelligence system with idiomatic traits, the method comprising: collecting, by one or more processors, electronic units of speech from an electronic stream of speech, wherein the electronic stream of speech is generated by a first entity; identifying, by one or more processors, tokens from the electronic stream of speech, wherein each token identifies a particular electronic unit of speech from the electronic stream of speech, and wherein identification of the tokens is semantic-free such that the tokens are identified independently of a semantic meaning of a respective electronic unit of speech; populating, by one or more processors, nodes in a first speech graph with the tokens; identifying, by one or more processors, a first shape of the first speech graph; matching, by one or more processors, the first shape to a second shape, wherein the second shape is of a second speech graph from a second entity in a known category; assigning, by one or more processors, the first entity to the known category in response to the first shape matching the second shape; and modifying, by one or more processors, synthetic speech generated by an artificial intelligence system based on the first entity being assigned to the known category, wherein said modifying imbues the artificial intelligence system with idiomatic traits of persons in the known category. 4. The method of claim 1 , wherein the first entity is a group of persons, wherein the electronic stream of speech is a stream of written texts from the group of persons, and wherein the method further comprises: analyzing, by one or more processors, the written texts from the group of persons to identify an emotional state of the group of persons; modifying, by one or more processors, the first shape of the first speech graph according to the emotional state of the group of persons; and adjusting, by one or more processors, the synthetic speech based on a modified first shape of the first speech graph of the group of persons.