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Improving Reading Level Evaluations Using Sentence Structure and Word Frequency

During my senior year of high school (August 2017 - May 2018), I conducted a research project of my own design from start to finish. I analyzed the reading levels of different texts using a formula that I created. I used the Oxford English Dictionary API for the frequencies of words in modern English and the Web-based L2 Syntactic Complexity Analyzer created by Haiyang Ai to count the number of clauses found in a given body of text. I created a website with Python/CherryPy as the backend (demo) for users to be able to input their own text and see how my analysis compares to traditional ones.

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Abstract: People have been using readability formulas, or reading level formulas, for a wide variety of uses for many years. These formulas usually depend on factors like the number of characters, words, sentences, syllables per word, etc. there are in a sample of text. I created a formula which relies on the number of clauses in a sentence, which indicates the sentence complexity, as well as the vocabulary difficulty, which is based on the frequency of the words in modern English. In addition, I created a scale to go along with my formula so a user can see where their text falls with respect to other, more well-known texts.

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Research project to analyze the reading level of text using a new formula. Comparisons with other analysis strategies included. August 2017-May 2018

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