unlp-workshop/unlp-2023-shared-task
UNLP 2023 Shared Task on Grammatical Error Correction for Ukrainian
This project offers a standardized way for natural language processing researchers and engineers to evaluate systems designed to correct Ukrainian text. It defines two tracks: one for basic grammar, spelling, and punctuation fixes, and another that also addresses making text sound more natural and fluent. Researchers can input uncorrected Ukrainian text and receive back corrected versions, allowing for objective comparison of different correction models.
No commits in the last 6 months.
Use this if you are developing or evaluating automated grammatical error correction (GEC) systems for the Ukrainian language and need a benchmark for performance.
Not ideal if you are looking for an off-the-shelf tool to instantly correct your Ukrainian documents, as this is a framework for research and evaluation.
Stars
8
Forks
1
Language
Macaulay2
License
—
Category
Last pushed
Mar 14, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/unlp-workshop/unlp-2023-shared-task"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
kanyun-inc/fairseq-gec
Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented...
kakaobrain/helo-word
Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task
awasthiabhijeet/PIE
Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models...
CAMeL-Lab/text-editing
Code, models, and data for "Enhancing Text Editing for Grammatical Error Correction: Arabic as a...
grammarly/ua-gec
UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language