Systems and methods for processing nuances in natural language

A method for processing electronic information indicative of natural language, the method comprising:

• generating, by natural language attribute (NLA) circuitry, a natural language attribute data set based on a first word in a sequence of words provided by a user, a first natural language of the first word, and one or more exogenous events;
• generating, by natural language transliteration (NLT) circuitry, a natural language transliteration data set based on the natural language attribute data set;
• generating, by the NLT circuitry, a translation of the first word in a second natural language based on the natural language transliteration data set, wherein the translation of the first word is generated by applying, a mean absolute deviation technique or a median absolute deviation technique to the natural language transliteration data set;
• and
• generating, by natural language recognition (NLR) circuitry, using machine learning and based at least in part on the translation, a response signal for transmission to a client device.

A computer program product for processing electronic information indicative of natural language, the computer program product comprising at least one non-transitory computer-readable storage medium storing program instructions that, when executed, cause an apparatus to:

• generate a natural language attribute data set based on a first word in a sequence of words provided by a user, a first natural language of the first word, and one or more exogenous events;
• generate, based on the natural language attribute data set, a natural language transliteration data set;
• generate a translation of the first word in a second natural language based on the natural language transliteration data set, wherein the translation of the first word is generated by applying a mean absolute deviation technique or a median absolute deviation technique to the natural language transliteration data set;
• and
• generate, using machine learning and based at least in part on the translation, a response signal for transmission to a client device.