This is the outcome at the Vocabulary Profiler of the Konopnicka Airport Memo Report. The Vocabulary Profiler is a computer program that performs lexical text analysis. It takes any text and divides the words into four categories by frequency. K1 Words (1000 most frequent words), K2 Words (second most frequent thousand words), AWL Words (570 most frequently used words in academic texts across subjects) and the Off-List Words. The Vocabulary Profiler measures the proportions of low and high frequency vocabulary in a written text. A typical educated native speaker result is 70% from first 1000, 10% from second thousand, 10% academic and 10% less frequent words.
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