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We show that a recently introduced lexical quality measure is also valid to measure textual Web accessibility. Our measure estimates the lexical quality of a site based in the occurrence in English Web pages of a large set of words with errors. We first compute the correlation of our measure with Web popularity measures to show that gives independent information. Second, we carry out a user study using eye tracking to prove that the degree of lexical quality of a text is related to the degree of understandability of a text, one of the factors behind Web accessibility.
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Stored only when both papers are in the corpus — 22 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.