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Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:,这一点在safew官方版本下载中也有详细论述
,详情可参考搜狗输入法2026
Roman numerals: glyph reuse by design
Cyrillic homoglyphs: the real threat,更多细节参见搜狗输入法下载