Isidora Glisic
2022
Error Corpora for Different Informant Groups:Annotating and Analyzing Texts from L2 Speakers, People with Dyslexia and Children
Þórunn Arnardóttir
|
Isidora Glisic
|
Annika Simonsen
|
Lilja Stefánsdóttir
|
Anton Ingason
Proceedings of the 19th International Conference on Natural Language Processing (ICON)
Error corpora are useful for many tasks, in particular for developing spell and grammar checking software and teaching material and tools. We present and compare three specialized Icelandic error corpora; the Icelandic L2 Error Corpus, the Icelandic Dyslexia Error Corpus, and the Icelandic Child Language Error Corpus. Each corpus contains texts written by speakers of a particular group; L2 speakers of Icelandic, people with dyslexia, and children aged 10 to 15. The corpora shed light on errors made by these groups and their frequencies, and all errors are manually labeled according to an annotation scheme. The corpora vary in size, consisting of errors ranging from 7,817 to 24,948, and are published under a CC BY 4.0 license. In this paper, we describe the corpora and their annotation scheme, and draw comparisons between their errors and their frequencies.