Open access dataset for Spelling Correction in Russian

Open access dataset for Spelling Correction in Russian. Each unit of the dataset consists of a word pair containing an incorrect spelling and its corresponding corrected form. The dataset comprises two parts for training and testing in scv format, containing 80,000 and 20,612 word pairs respectively. Each row accurately corresponds to a single word pair. Most of the pairs is obtained through word frequency analysis of the Wikipedia corpus, according to the method described in the paper [1]. [1] Whitelaw C. et al. Using the web for language independent spellchecking and autocorrection. – 2009.

面向俄语拼写纠正的开放获取数据集。该数据集的每个数据单元均由一组词对构成，包含错误拼写形式及其对应的正确拼写形式。本数据集分为训练集与测试集两个部分，均采用scv格式存储，分别包含80000组与20612组词对。每一行均精准对应一组词对。绝大多数词对均依据文献[1]所述方法，通过对维基百科语料库开展词频分析获取。[1] Whitelaw C. 等人. 利用网络实现与语言无关的拼写检查及自动纠正. 2009年.

搜集汇总

背景与挑战

背景概述

这是一个用于俄语拼写纠正的开放访问数据集，包含错误拼写与纠正形式的单词对，分为80,000个训练对和20,612个测试对，数据主要基于维基百科语料库的词频分析生成，适用于文本处理相关任务。