text-simplification

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

Easier Automatic Sentence Simplification Evaluation

[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.

A web user interface and workflow for document translations using the Amazon Translate service

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

Dataset containing scroll interactions of 598 partcipants reading advanced and elementary texts from the OneStopEnglish corpus

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

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification

Sentence-Level Text Simplification for Dutch

An unsupervised approach to sentence simplification that combines text generation and text revision.

A collection of tools for sentence alignement

This is the reimplementation of the NeuralTextSimplification system in Pytorch.

simplify is a text simplification toolkit

Success and Failure Linguistic Simplification Annotation 💃