ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and linguistic complexity. Ideal for businesses and researchers, it enhances understanding of textual data.

Materials for the MSc Thesis "Interpreting Neural Language Models for Linguistic Complexity Assessment" and related works.

Comparing the linguistic complexity of tweets in relation to their topic: politics or sports. Lexical, surface-level complexity measures are used along with syntactic parsing.

Our project tackles the complexities of searching Arabic text. We've implemented and compared three pattern matching algorithms for Arabic. Our aim is to help users easily find and locate information in Arabic texts, even with diacritical symbols, using AI and NLP. Experience efficient Arabic text processing with us!

Does linguistic complexity correlate with gender?

The implementation of the Inspector tool.

Code for the thesis "A Corpus-Based Case Analysis on Syntactic Complexity in Russian ESL Learners’ Writing".

Measuring linguistic complexity through information theory

Supplementary material for "Correlations between accuracy, complexity, and task type: Learner corpus research"