Globalization and multilingualism contribute to code-switching—the phenomenon in which speakers produce utterances containing words or expressions from a second language. Processing code-switched sentences is a significant challenge for multilingual intelligent systems. This study proposes a language modeling approach to the problem of code-switching language processing, dividing the problem into two subtasks: the detection of code-switched sentences and the identification of code-switched words in sentences. A code-switched sentence is detected on the basis of whether it contains words or phrases from another language. Once the code-switched sentences are identified, the positions of the code-switched words in the sentences are then identified. Experimental results show that the language modeling approach achieved anF-measure of 80.43% and an accuracy of 79.01% for detecting Mandarin-Taiwanese code-switched sentences. For the identification of code-switched words, the word-based and POS-based models, respectively, achievedF-measures of 41.09% and 53.08%.
To achieve 3D grid models which have a non-uniform size and varying properties, we proposed the algorithm of grid subdivision and encryption by human-computer interaction. This algorithm was the technology based on 3D geological modeling, and achieving process has following three steps. Firstly, we converted many 2D cross sections to 3D space, and reconstructed 3D vector models using the algorithm of optimal path suture, and set the property of abnormal body and surrounding rock. Then, achieving 3D grids subdivided according to the relationship between the center of 3D grid and 3D vector models, the properties of 3D grids were determined. Finally, we encrypted grids in the survey area and expansion area, and modified the properties. The results show that the algorithm can realize the conversion from 3D vector models to 3D grid models, and this process is reliable and efficient.
To simulate arbitrary three dimensional models, this technology of triangular polyhedron 3D human-computer interaction modeling was proposed. Achieving the technology has following three steps. Firstly, the coordinates of 3D nodes were projected onto the plane by the method of 3D geometric transformation. Then, this information which was made up of triangles and sides and nodes was picked up by 3D picking methods. Finally, the technique of rubber membrane was used to modify the nodes of triangles, and the 3D modification was achieved by means of anti-transformation. Moreover, the method of global and local mesh encryption was also designed to modify 3D topology structure, which was aimed at better simulate complex 3D models. This technology combined geophysical forwarding compute and formed the method of data-interaction simulation, which provided a means of visualization for geophysical data interpretation.
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