Abstract: Systems, apparatuses, methods, and computer program products are disclosed for processing electronic information indicative of natural language. An example method includes generating 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 word, and one or more exogenous events. The example method further includes generating a natural language transliteration data set based on the natural language attribute data set. The example method further includes generating a translation of the first word in a second natural language based on the natural language transliteration data set. The example method further includes generating, using machine learning and based at least in part on the translation, a response signal for transmission to a client device.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for processing electronic information indicative of natural language. An example method includes receiving first electronic information indicative of a sequence of words provided by a user and identifying, based on the first electronic information, a first word and a first natural language. The example method further includes receiving second electronic information indicative of an exogenous event and identifying, based on the second electronic information, the exogenous event. The example method further includes generating one or more natural language attribute data sets based on the identified first word, first language, and exogenous event. The example method further includes generating a natural language transliteration data set based on the one or more natural language attribute data sets.

Abstract: Systems, apparatuses, methods, and computer program products are disclosed for processing electronic information indicative of natural language. An example method includes receiving first electronic information indicative of a sequence of words provided by a user and identifying, based on the first electronic information, a first word and a first natural language. The example method further includes receiving second electronic information indicative of an exogenous event and identifying, based on the second electronic information, the exogenous event. The example method further includes generating one or more natural language attribute data sets based on the identified first word, first language, and exogenous event. The example method further includes generating a natural language transliteration data set based on the one or more natural language attribute data sets.