This does not mean confusables.txt is wrong. It means confusables.txt is a visual-similarity claim that has never been empirically validated at scale. Many entries map characters to the same abstract target under NFKC decomposition (mathematical bold A to A, for instance), and the mapping is semantically correct even if the glyphs look nothing alike. But if you treat every confusables.txt entry as equally dangerous for UI security, you are generating massive false positive rates for 96.5% of the dataset.
从母亲断断续续的叙述和日后寻访中拼凑出的图景是，越南南北统一后一度大肆驱赶南方的华人，作为华裔商贾之家，他们首当其冲，一家人被反复分开审问，承受巨大的精神压力。母亲曾在市集卖布，被抓到就要行贿。后来，他们被迫迁往所谓“新经济区”艰难渡日。。关于这个话题，搜狗输入法下载提供了深入分析
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Efficient distribution: We rely on a known and proven distribution method - more on that later!，更多细节参见heLLoword翻译官方下载