sermetric 0.1.5

metrics for evaluate how easy-to-read a text is.

SERM:

SERM is an open-source library for evaluating how easy-to-read a text is. It supports a wide variety of indexes and allows the user to easily combine them.

FEATURES:

Several indexes are provided:

• pointsIndex: it is the number of points in the text divided by the number of words.

• newParagraphIndex: it is the number of new paragraphs in the text divided by the number of words.

• CommaIndex: the number of commas in the text divided by the number of words.

• extensionIndex: ratio between the number of syllables in lexical words and the number of lexical words, lexical words being understood as nouns, verbs, adjectives and adverbs.

• triPoliIndex: ratio of the number of trisyllabic and polysyllabic words to the number of lexical words.

• lexicTriPoliIndex: ratio of the number of trisyllabic and polysyllabic lexical words to the numberof lexical words.

• diversityIndex: ratio between the number of different words in the text and the total number of words.

• lexicalFreqIndex: ratio between the number of low-frequency lexical words and the number of lexical words. The “Corpus de la Real Academia Española” (CREA) and the ‘Gran diccionario del uso del español actual’ will be used as a reference.

• wordForPhraseIndex: quotient resulting from the division between the number of words in the text and the number of sentences.

• sentenceComplexityIndex: the result of dividing the number of sentences by the number of propositions.

• complexityIndex: quotient between the number of low-frequency syllables and the total number of syllables (reference: ‘Diccionario de frecuencias de las unidades lingüísticas del castellano’)

• fernandezHuerta: is the result of 206.84-0.6P-1.02F, where P is the number of syllables per 100 words and F is the number of sentences per 100 words.