Increasing n trades off variance in exchange for less bias. It's a good idea to try perplexity of 5, 30, and 50, and look at the results. The only way to know whether increasing n reduces perplexity is by already knowing how exactly how the text.
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At a high level, perplexity is the parameter that matters. Wikipedia article on perplexity does not give an intuitive meaning for the same. 知乎，中文互联网高质量的问答社区和创作者聚集的原创内容平台，于 2011 年 1 月正式上线，以「让人们更好的分享知识、经验和见解，找到自己的解答」为品牌使命。知乎凭借认真、专业、友善的社区.
我们很高兴地宣布，全新 deepseek r1 模型现已在所有 perplexity 平台上线。您可以在网页、…
What does it mean if i'm asked to calculate the perplexity on a whole corpus? Having negative perplexity apparently is due to infinitesimal probabilities being converted to the log scale automatically by gensim, but even though a lower perplexity is desired, the lower. If i understand it correctly, this means that i could calculate the perplexity of a single sentence.
