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We study the relationship between vocabulary size and text length in a corpusof $75$ literary works in English, authored by six writers, distinguishingbetween the contributions of three grammatical classes (or ``tags,'' namely,{\it nouns}, {\it verbs}, and {\it others}), and analyze the progressiveappearance of new words of each tag along each individual text. While thepower-law relation prescribed by Heaps' law is satisfactorily fulfilled bytotal vocabulary sizes and text lengths, the appearance of new words in eachtext is on the whole well described by the average of random shufflings of thetext, which does not obey a power law. Deviations from this average, however,are statistically significant and show a systematic trend across the corpus.Specifically, they reveal that the appearance of new words along each text ispredominantly retarded with respect to the average of random shufflings.Moreover, different tags are shown to add systematically distinct contributionsto this tendency, with {\it verbs} and {\it others} being respectively more andless retarded than the mean trend, and {\it nouns} following instead thisoverall mean. These statistical systematicities are likely to point to theexistence of linguistically relevant information stored in the differentvariants of Heaps' law, a feature that is still in need of extensiveassessment.

Heaps' law and Heaps functions in tagged texts: Evidences of their linguistic relevance