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

A Natural Portuguese Language Benchmark (Napolab) for the evaluation of language models.

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.

A collection of tools for sentence alignement

This is the reimplementation of the NeuralTextSimplification system in Pytorch.

Sentence-Level Text Simplification for Dutch

simplify is a text simplification toolkit

Success and Failure Linguistic Simplification Annotation 💃

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.

Deploying and monitoring an mBART model (trained for text simplification), on Kubernetes or Docker

Data collection for a German Simplification Corpus. Later on an overvoew of all requested websites will be added. Furthermore, the license, the code for craling and aligning will be added.