论文标题
Inkorrect：在线手写拼写更正
Inkorrect: Online Handwriting Spelling Correction
论文作者
论文摘要
我们介绍了Inkorrect，一种用于在线手写（数字墨水）拼写校正的数据和标签有效方法 - 光盘。与以前的工作不同，所提出的方法不需要来自同一作者的多个样本，也不需要访问字符级分段。我们表明，现有的自动评估指标并未完全捕获，并且与人类对拼写校正质量的看法无关，并提出了与人类感知相关的新的。另外，我们浮出水面一个有趣的现象：拼写校正墨水的相似性和可识别性之间的权衡。我们进一步创建了与这两个轴之间帕累托边界上不同点相对应的模型家族。我们表明，Inkorrect的Pareto边境占据了与先前工作相对应的点。
We introduce Inkorrect, a data- and label-efficient approach for online handwriting (Digital Ink) spelling correction - DISC. Unlike previous work, the proposed method does not require multiple samples from the same writer, or access to character level segmentation. We show that existing automatic evaluation metrics do not fully capture and are not correlated with the human perception of the quality of the spelling correction, and propose new ones that correlate with human perception. We additionally surface an interesting phenomenon: a trade-off between the similarity and recognizability of the spell-corrected inks. We further create a family of models corresponding to different points on the Pareto frontier between those two axes. We show that Inkorrect's Pareto frontier dominates the points that correspond to prior work.
