Detailed Error Annotation for Morphologically Rich Languages: Latvian Use Case
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Use Case
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This paper presents a detailed error annotation for morphologically rich languages. The described approach is used to create Latvian Language Learner corpus (LaVA) which is part of a currently ongoing project Development of Learner corpus of Latvian: methods, tools and applications. There is no need for an advanced multi-token error annotation schema, because error annotated texts are written by beginner level (A1 and A2) who use simple syntactic structures. This schema focuses on in-depth categorization of spelling and word formation errors. The annotation schema will work best for languages with relatively free word order and rich morphology.
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2019 ◽
Vol 6
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pp. 67-104
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2020 ◽
Vol 4
(2)
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pp. 102
2020 ◽
Vol 75
(1)
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pp. 339-344
2021 ◽
Vol 7
(2)
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pp. 275-289
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