A Python library for calculating a large variety of metrics from text
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Updated
Dec 16, 2024 - Python
A Python library for calculating a large variety of metrics from text
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.
[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
✍️ An intelligent system that takes a document and classifies different writing styles within the document using stylometric techniques.
Reduce content complexity
Optimizing Readability Using Genetic Algorithms
FinRAD: Financial Readability Assessment Dataset - 13,000+ Definitions of Financial Terms for Measuring Readability
How readable is your text? Provide a text input and get its grade level. Validated against the source data.
Simple, super-lightweight gem for calculating the Flesch Kincaid score in Ruby
Repo for maintaining the code base for hybrid readability index application called Lisibilite
A relatively fast, functional prose text counter with readability scoring.
[EACL 2023] use text-to-text models (BART, T5) for readability assessment
This script calculates the readability index of text. The LIX, or readability index, measures how difficult a text is to read. It is calculated as the percentage of words longer than six letters plus the average number of words per sentence.
I use various techniques for analyzing the Stanford Congressional Records. Specifically, we will be looking at
SmoothText is a Python library for calculating readability scores of texts and statistical information for texts in multiple languages.
NeoVim plugin to calculate the readability of text.
Frequency -based readability index
Readability Formulas and Reading Time Statistics
Application web JS de calcul d'indices de lisibilité (lix, rix, ari, gunning, smog, coleman-liau, fkgl).
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