lilt/tec

Evaluation code and data for "Automatic Correction of Human Translations" [NAACL 2022].

PerlPythonShellnatural-language-processingmachine-translationdatasetgrammatical-error-correction
This is stars and forks stats for /lilt/tec repository. As of 29 Apr, 2024 this repository has 18 stars and 0 forks.

This repository contains the official data and evaluation code for the NAACL 2022 paper: Automatic Correction of Human Translations Jessy Lin, Geza Kovacs, Aditya Shastry, Joern Wuebker, and John DeNero [arXiv] The ACED Corpus You can load the corpus directly from the data/ directory. The corpus consists of three translation error correction datasets from different domains: asics (marketing), emerson (technical), and digitalocean (technical). For more information on the data, please refer to our...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
qewer33/ExquisiteQMLShell159030
gem5bootcamp/gem5-bootcamp-envSCSSPythonC200270
opencv/opencv-pythonShellPython3.7k07690
rauchg/wifi-passwordShell4.3k02470
MIUI-Monet-Project/ModuleShell366020
guochengqian/PointNeXtShell5790900
fbelavenuto/arplShellCMakefile5.4k01.1k0
rbenv/ruby-buildShellRoffRuby3.8k08090
hertg/lightdm-neonSvelteTypeScriptHTML90000
microsoft/vscode-jupyterTypeScriptPythonJupyter Notebook1.1k02480