Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)
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Updated
May 21, 2024 - Python
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
An implementation of transformer-based language model for sentence rewriting tasks such as summarization, simplification, and grammatical error correction.
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
Code and data for discourse-based sentence splitting experiments.
Meta-evaluation of automatic metrics in Text Simplification
Annotation Tool for Text Simplification Corpora
Dataset containing scroll interactions of 598 partcipants reading advanced and elementary texts from the OneStopEnglish corpus
Hebrew Text Simplification system based on LLMs & advanced algorithms, served as a Chrome plugin.
simplify is a text simplification toolkit
Success and Failure Linguistic Simplification Annotation 💃
Source code for Text Simplification Evaluation papers at ACL findings and CTTS workshop.
Text simplification for a better world: Deep-Martin Transformer 🤗
A Natural Portuguese Language Benchmark (Napolab) for the evaluation of language models.
Unsupervised Sentence Simplification via Dependency Parsing
Sentence-Level Text Simplification for Dutch
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.
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