System and method for generating contextualized text using a character-based convolutional neural network architecture

Abstract

A system for generating a contextualized text using a character-based convolutional neural network architecture (CNN) is disclosed. The system includes a memory, a character-based CNN engine having executable modules and a processor configured to execute the character-based CNN engine and the executable modules for generating contextualized text using a character-based convolutional neural network architecture (CNN). The executable modules includes a data processing module for pre-processing an input conversational text data, a corpus builder unit for developing a corpus of most frequent n-grams, a dataset generation module for performing logarithmic mapping of a frequency of a respective n-gram in the corpus for a dataset prepared for training, a training module for training an artificial intelligence (AI) based model with datasets for a predetermined range of epochs and a prediction module for executing the trained AI-based model for predicting characters contextually till an end-of-sentence (EOS) token is found.