1. Computer vision is a science that simulates the human visual system, enabling computers to obtain information from pictures or videos. For this problem, we need to train the model to recognize the words in the picture. This usually involves the use of OCR (Optical Character Recognition) technology. OCR technology can transform the text in a picture into an editable and searchable text format.
2. Natural Language Processing (NLP) is a branch of artificial intelligence, which involves making machines understand and generate human language. In order to understand the lexical meaning of six-year-old children's picture books, we need to use NLP technology. This includes lexical analysis, syntactic analysis and semantic understanding.
3. Machine learning and deep learning are the keys to realize the above functions. Through a large number of training data, the model can be trained to recognize the characters in the pictures and understand their meanings. For OCR, a deep learning model (such as convolutional neural network CNN) can be used to recognize the characters in the picture.
Can read the meaning.
1, being able to read means that the computer can not only extract words from pictures, but also really understand the contents of these words. This is not only a question of character recognition, but also involves the understanding of words, phrases, sentences and even the whole story or concept.
Being able to read requires that the computer can understand the meaning of the text according to the context. Children's books often contain metaphors, symbols and simple story lines, which need computers to be able to infer and understand in combination with context. For example, when reading "Little Red Riding Hood meets a wolf", the computer should be able to infer from the previous text and common sense that this may be a potentially dangerous situation.
3. Children's books often contain rich emotions and simple moral values. Therefore, "being able to read" also requires computers to capture these feelings and values. For example, through the plot and the behavior of the characters in the story, the computer should be able to understand the basic concepts such as kindness, courage or friendliness, and can judge the positive or negative information conveyed by the story.