The conference paper "Computer Input/Output of Mathematical Expressions" by Professor Martin is an excellent summary of the characteristics of 2D math expressions and of algorithms for their recognition and display. Professor Martin argues that for efficiency a recognition system must be carefully programmed to allow a rather complete notation and still take advantage of constraints in the notation. In practice, this usually means "hand-tailoring" a recognition algorithm to a particular notation. Unfortunately, a limitation of most "hand-tailored" programs is that they are rather inflexible and difficult to change in any significant way. I would like to focus my comments on the pair of questions, "(1) Are 'hand-tailored' 2D recognition algorithms necessary for efficiency?, and (2) Is there an alternative?"
Martin教授的会议论文“数学表达式的计算机输入/输出”很好地总结了2D数学表达式的特征以及它们的识别和显示算法。马丁教授认为,为了提高效率,必须对识别系统进行精心编程,以允许使用相当完整的符号,并且仍要利用符号中的约束条件。实际上,这通常意味着将识别算法“手工定制”为特定的符号。不幸的是,大多数“手工定制”程序的局限性在于它们相当缺乏灵活性,并且很难以任何重要的方式进行更改。我想将我的评论集中在这两个问题上:“(1)“手工定制”的2D识别算法是否需要效率?(2)是否有其他选择?” P>
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