Abstract: A method for processing a narrative generated by an artificial Intelligence based natural language generator, to assess relationships between words and phrases in the generated narrative, where necessary, to replace particular words and phrases and more clearly convey a desired intended semantic content of the generated narrative, and/or generate learning data for use by the natural language generator to improve its text generating operation. Based on an input received by the AI based natural language generator, the method generates a narrative, processing the narrative by implementing one or more mechanisms to provide at least one cue in the narrative, in accordance with a plurality of rules to identify semantic content and based on a cue, and the identified semantic content of the narrative, determining how relationships between the words and phrases comprising the narrative could be altered to more clearly convey the semantic content, to realize a directive and communicating the directive.

Abstract: A method for processing a narrative generated by an artificial Intelligence based natural language generator, to assess relationships between words and phrases in the generated narrative, where necessary, to replace particular words and phrases and more clearly convey a desired intended semantic content of the generated narrative, and/or generate learning data for use by the natural language generator to improve its text generating operation. Based on an input received by the AI based natural language generator, the method generates a narrative, processing the narrative by implementing one or more mechanisms to provide at least one cue in the narrative, in accordance with a plurality of rules to identify semantic content and based on a cue, and the identified semantic content of the narrative, determining how relationships between the words and phrases comprising the narrative could be altered to more clearly convey the semantic content, to realize a directive and communicating the directive.

Abstract: A method for processing a narrative generated by an artificial Intelligence based natural language generator, to assess relationships between words and phrases in the generated narrative, where necessary, to replace particular words and phrases and more clearly convey a desired intended semantic content of the generated narrative, and/or generate learning data for use by the natural language generator to improve its text generating operation. Based on an input received by the AI based natural language generator, the method generates a narrative, processing the narrative by implementing one or more mechanisms to provide at least one cue in the narrative, in accordance with a plurality of rules to identify semantic content and based on a cue, and the identified semantic content of the narrative, determining how relationships between the words and phrases comprising the narrative could be altered to more clearly convey the semantic content, to realize a directive and communicating the directive.

Abstract: A method for processing a user's spoken communication that is received by the user's electronic communications device and converted to text thereby, to assess relationships between words and phrases in the spoken communication, where necessary, to generate a directive to the user on how he/she might modify future spoken communications to more clearly convey a semantic content intended, for purposes of self-help and self-training in the user's spoken communications. The method also generates unsolicited text based on preprogrammed instructions. The user can configure the method in such a way that the user, not the software application program operating in the electronic communications device, contribute to the final directive. A version modifying original spoken text with complete sentences, and another, called user-mediated, that only identifies keywords or phrases and makes suggestions from word phrase pools to the user with modified keywords and phrases, to produce a directive are described.

Abstract: A method for processing a user's spoken communication that is received by the user's electronic communications device and converted to text thereby, to assess relationships between words and phrases in the spoken communication, where necessary, to generate a directive to the user on how he/she might modify future spoken communications to more clearly convey a semantic content intended, for purposes of self-help and self-training in the user's spoken communications. The method also generates unsolicited text based on preprogrammed instructions. The user can configure the method in such a way that the user, not the software application program operating in the electronic communications device, contribute to the final directive. A version modifying original spoken text with complete sentences, and another, called user-mediated, that only identifies keywords or phrases and makes suggestions from word phrase pools to the user with modified keywords and phrases, to produce a directive are described.

Abstract: A method for processing an original user writing, implemented by a computer processor, to modify relationships between words, phrases, signs and symbols comprising the writing, where necessary, to generate a modified writing that more clearly conveys a semantic content intended by the user, or consistent with the core principles associated with its mechanisms, when compared to the original user writing. The method includes receiving an original writing from a user, processing to perform a linguistic analysis on the original user writing in accordance with a plurality of rules to identify semantic content and based on the processing, and the semantic content, altering the relationships between the words, phrases, signs and symbols within the writing, where necessary, to realize a modified writing reflecting the altered relations.

Abstract: A method for processing an original user writing, implemented by a computer processor, to modify relationships between words, phrases, signs and symbols comprising the writing, where necessary, to generate a modified writing that more clearly conveys a semantic content intended by the user, or consistent with the core principles associated with its mechanisms, when compared to the original user writing. The method includes receiving an original writing from a user, processing to perform a linguistic analysis on the original user writing in accordance with a plurality of rules to identify semantic content and based on the processing, and the semantic content, altering the relationships between the words, phrases, signs and symbols within the writing, where necessary, to realize a modified writing reflecting the altered relations.

Abstract: A method for processing an original user writing, implemented by a computer processor, to modify relationships between words, phrases, signs and symbols comprising the writing, where necessary, to generate a modified writing that more clearly conveys a semantic content intended by the user, or consistent with the core principles associated with its mechanisms, when compared to the original user writing. The method includes receiving an original writing from a user, processing to perform a linguistic analysis on the original user writing in accordance with a plurality of rules to identify semantic content and based on the processing, and the semantic content, altering the relationships between the words, phrases, signs and symbols within the writing, where necessary, to realize a modified writing reflecting the altered relations.