Error corpus from English Wikipedia

The Error corpus from English Wikipedia is an error corpus made up of a sample of texts collected from the English Wikipedia. This is an only 1-million-word sample from English Wikipedia created in March 2017.

Types of errors

The automatic tool marks six types of errors in texts:

Code	Description	Example
lexicosemantic	lexico-semantic errors	<lexicosemantic> mentor \| a mentor </lexicosemantic>
punct	mistakes in punctuations	<punct> ! \| . </punct>
spelling	misspelling	<spelling> intensly \| intensely </spelling>
style	typos relating to style	<style> other \| the feasibility of other </style>
typographical	mistakes relating to typography	<typographical> ‘ \| ” </typographical>
unclassified	other types of typos	<unclassified> is to be \| was </unclassified>

Part-of-speech tagset

This English error corpus was tagged by TreeTagger using Penn TreeBank tagset with Sketch Engine modifications.

Tools to work with the error corpus

A complete set of tools is available to work with this English error corpus to generate:

error tagging – errors marked by the type of error (spelling, typography, etc.)
word sketch – English collocations categorized by grammatical relations
thesaurus – synonyms and similar words for every word
word lists – lists of English nouns, verbs, adjectives etc. organized by frequency
n-grams – frequency list of multi-word units
concordance – examples in context

Changelog

initial version – sample (March 2017)

1-million-word sample from English Wikipedia

Bibliography

KLETEČKA, Jiří. Wikipedia Learner’s Corpus [online]. Brno, 2017 [cit. 2018-03-07]. Available from: . Bachelor’s thesis. Masaryk University, Faculty of Informatics. Thesis supervisor Vít Baisa.