Multilabel Error Classifier (Icelandic Error Corpus categories) for Sentences (22.01)

  Authors

Ingólfsdóttir, Svanhvít Lilja ; Ragnarsson, Pétur Orri and Snæbjarnarson, Vésteinn

  Item identifier

http://hdl.handle.net/20.500.12537/183

 Date issued

2022-01-25

 Type

toolService

 Language(s)

Icelandic

 Description

The Icelandic Error Corpus (IEC) was used to fine tune the Icelandic language model IceBERT for sentence classification. The objective was to train grammatical error detection models that could classify whether a sentence contains a particular error type. The model can mark sentences as including one or more of the following issues: coherence, grammar, orthography, other, style and vocabulary. The overall F1 score is a modest 64%. --- Íslenska villumálheildin (IEC) var notuð til að fínþjálfa íslenska mállíkanið IceBERT fyrir flokkun á setningum. Markmiðið var að þjálfa líkan sem getur greint hvort setning innihaldi ákveðna villutegund. Líkanið getur merkt við setningar með einum eða fleiri mörkum af eftirfarandi: coherence, grammar, orthography, other, style og vocabulary. F1 yfir heildina er 64%.

 Publisher

Miðeind ehf

 Acknowledgement

Ministry of Education, Science and Culture

Project code: Spell and grammar checking with neural networks (L14)

Project name: Language Technology for Icelandic 2019-2023

 Subject(s)

iec ged grammatical error detection icelandic error corpus

 Collection(s)

Clarin IS

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