Resumen de Detailed Error Annotation for Morphologically Rich Languages: Latvian Use Case

Roberts Dargis, Ilze Auzina, Kristine Levane-Petrova, Inga Kaija

• 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) whousesimple 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.