LogosLink User's Manual · LogosLink version 2.0.0.2

Readability Analytics (Agency Model)

Readability analytics show how readable the agency model text content is.

This is useful to evaluate how easy it is to read and understand the agency model text content.

Parameters

(none)

Results

Results are given as a text report. The report contains a section for universal data (data that applies to any language) plus a section for language-specific data.

Universal

Universal data includes:

Word count. This is the number of words in the text.
NS word count. This is the number of non-stop words in the text.
Type/token ratio. This is the ratio of word class count divided by word count.
NS type/token ratio. This is the ratio of non-stop word class count divided by non-stop word count.

Low values of type/token ratios indicate that there are more word repetitions for each class, which may indicate a simpler vocabulary and therefore higher readability. High values indicate fewer word repetitions per class, which may indicate a richer vocabulary and therefore lower readability.

Language-specific

Language-specific data includes readability metrics that are specific to the language of the text. Different metrics are shown depending on the language.

Catalan

There are no language-specific readability metrics for Catalan.

English

Language-specific readability metrics for English are:

Automated Readability Index (ARI) . This includes a raw ARI measure plus an interpretation in terms of child age range.
Coleman-Liau Index (CLI) . This includes a raw CLI measure plus an interpretation in terms of child age range.

Galician

There are no language-specific readability metrics for Galician.

Spanish

Language-specific readability metrics for Spanish are:

µ Readability (Legibilidad µ) . This includes a raw µ measure plus an interpretation in terms of difficulty.
Polini Understandability (comprensibilidad de Polini) . This includes just a raw measure.

Details

The implemented readability metrics are limited to easy-to-compute variables such as word or sentence length. Other aspects that clearly influence readability, such as lexical choices or grammatical complexity, are not considered. For this reason, you shoud be cautious when interpreting readability analytics results.