APPARATUS AND METHOD FOR APPLYING IMAGE ENCODING RECOGNITION IN NATURAL LANGUAGE PROCESSING

摘要

A method for applying image encoding recognition in the execution of natural language processing (NLP) tasks, comprising the processing steps as follows. A sentence from a textual source is extracted by an NLP-based feature extractor. A word vector is generated in response to the sentence by the NLP-based feature extractor. The word vector is converted into a feature vector (I) by the NLP-based feature extractor, in which the feature vector (II) and the parameter m is a positive integer. The feature vector is transformed into an image set having a plurality of two-dimensional images by a transformer. The image set is fed to a neural network to execute image recognition by a processor, so as to analyze the sentence.