符号(正式)
计算机科学
序列(生物学)
聚类分析
树(集合论)
人工智能
合成数据
注释
自然语言处理
模式识别(心理学)
程序设计语言
数学
遗传学
生物
数学分析
作者
Vu Tran Minh Khuong,Huy Quang Ung,Nakagawa Masaki,Minh Khanh Phan
标识
DOI:10.1109/icdar.2019.00152
摘要
Collecting handwritten mathematical expressions (HMEs) generally requires a lot of time and effort for data preparation, data collection, annotation and so on. In this paper, we present a method for generating realistic HMEs in a wide variety of structures and styles from a LaTeX sequence or a MathML script using online isolated symbol patterns. Our method firstly positions all symbols in a symbol relation tree constructed from the input LaTeX or MathML script. Then, it places normalized online symbol patterns into the corresponding locations. A questionnaire-based experiment shows that the synthetic patterns are as clear and natural as the real patterns. Therefore, we can use the generated synthetic HME patterns for research on HME recognition and clustering.
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