Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment

The Natural Portuguese Language Benchmark (Napolab). Stay up to date with the latest advancements in Portuguese language models and their performance across carefully curated Portuguese language tasks.

MILES is a multilingual text simplifier inspired by LSBert - A BERT-based lexical simplification approach proposed in 2018. Unlike LSBert, MILES uses the bert-base-multilingual-uncased model, as well as simple language-agnostic approaches to complex word identification (CWI) and candidate ranking.

Codebase, data and models for the Keep it Simple paper at ACL2021

An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.

Text simplification for a better world: Deep-Martin Transformer 🤗

Klexikon: A German Dataset for Joint Summarization and Simplification

Annotation Tool for Text Simplification Corpora

Overview of German Text Simplification Resources, e.g., DEplain corpus, web harvester, alignment methods.

Sentence-Level Text Simplification for Dutch

This is the reimplementation of the NeuralTextSimplification system in Pytorch.

A collection of tools for sentence alignement

Success and Failure Linguistic Simplification Annotation 💃

simplify is a text simplification toolkit

Hebrew Text Simplification system based on LLMs & advanced algorithms, served as a Chrome plugin.

Source code for Text Simplification Evaluation papers at ACL findings and CTTS workshop.

Code and data for discourse-based sentence splitting experiments.

Reference-less Quality Estimation of Text Simplification Systems

Create Plain Language glossaries from texts, URLs, and files using LLMs.