Chinese character learning is difficult, as the character’s definitions in dictionary are simple but abstract. The image representations of Chinese character’s definitions are easy to understand and helpful to remember. To assist learning Chinese character and understanding definitions, we design an intelligent dictionary which supports text and image of printed character as input and text, image and video as output modes. Particularly, users could query each definition in text to obtain the corresponding image definition via the designed cross-modal retrieval mechanism. Besides, we also build the image database of character evolving process as well as the video databases of micro-lectures for extended learning. A mobile version of the dictionary has been developed, which supports the multimodal query and output information for the individual Chinese character.
CITATION STYLE
Yu, J., Song, J., Chen, P., & Lu, Y. (2022). An Intelligent Multimodal Dictionary for Chinese Character Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13356 LNCS, pp. 79–83). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-11647-6_13
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