Why Word Counting Is Harder Than a Simple Space Split Suggests
A common naive word counter splits text on whitespace, which breaks on contractions, hyphens, em dashes, decimals, and emoji. The article argues this is a text segmentation problem rather than a rounding issue. It recommends the browser's Intl.Segmenter API, using word granularity and filtering by isWordLike to exclude emoji from word counts. It also notes that text.length counts UTF-16 code units rather than visible characters, so grapheme granularity is better for character counts. The author discloses that they built a browser-based word counter that processes text locally without uploading it.
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