Aiming at the problem that the mathematical expressions in unstructured text fields of documents are hard to be extracted automatically, rapidly and effectively, a method based on Hidden Markov Model (HMM) is proposed...Aiming at the problem that the mathematical expressions in unstructured text fields of documents are hard to be extracted automatically, rapidly and effectively, a method based on Hidden Markov Model (HMM) is proposed. Firstly, this method trained the HMM model through employing the symbol combination features of mathematical expressions. Then, some preprocessing works such as removing labels and filtering words were carried out. Finally, the preprocessed text was converted into an observation sequence as the input of the HMM model to determine which is the mathematical expression and extracts it. The experimental results show that the proposed method can effectively extract the mathematical expressions from the text fields of documents, and also has the relatively high accuracy rate and recall rate.展开更多
Sign language is visual-gestural language mainly used by healing-impaired people to communicate with each other. Gesture and facial expression ale important grammar parts of sign language. In this paper, a graphics me...Sign language is visual-gestural language mainly used by healing-impaired people to communicate with each other. Gesture and facial expression ale important grammar parts of sign language. In this paper, a graphics method is taken to synthesize Chinese Sign Language, and a practical system is implemented. The input of the system is text. The output of the system is "graphics person" who can gesticulate sign language accompanied by facial expression that corresponds to text entered so as to realize automatic translation from text to sign language. It’s a meaningful exploration to computer multimedia data expression and fusion. It can play an important role in education of healingimpaired people and sign language interpretation.展开更多
文摘Aiming at the problem that the mathematical expressions in unstructured text fields of documents are hard to be extracted automatically, rapidly and effectively, a method based on Hidden Markov Model (HMM) is proposed. Firstly, this method trained the HMM model through employing the symbol combination features of mathematical expressions. Then, some preprocessing works such as removing labels and filtering words were carried out. Finally, the preprocessed text was converted into an observation sequence as the input of the HMM model to determine which is the mathematical expression and extracts it. The experimental results show that the proposed method can effectively extract the mathematical expressions from the text fields of documents, and also has the relatively high accuracy rate and recall rate.
文摘Sign language is visual-gestural language mainly used by healing-impaired people to communicate with each other. Gesture and facial expression ale important grammar parts of sign language. In this paper, a graphics method is taken to synthesize Chinese Sign Language, and a practical system is implemented. The input of the system is text. The output of the system is "graphics person" who can gesticulate sign language accompanied by facial expression that corresponds to text entered so as to realize automatic translation from text to sign language. It’s a meaningful exploration to computer multimedia data expression and fusion. It can play an important role in education of healingimpaired people and sign language interpretation.
