@inproceedings{ed7ff0a1fd1146098342edf15f323efe,
title = "Detailed error annotation for morphologically rich languages: Latvian use case",
abstract = "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.",
keywords = "Corpus development, Error annotation, Language acquisition, Leaner corpus",
author = "Roberts Dargis and Ilze Auzina and Kristne Levane-Petrova and Inga Kaija",
note = "Funding Information: The work reported in this paper is a part of the project Development of Learner Corpus of Latvian: methods, tools and applications (Project No. lzp-2018/1-0527) that is being implemented at the Institute of Mathematics and Computer Science, University of Latvia (IMCS UL) since September 2018. The project is financed by Latvian Council of Science. Publisher Copyright: {\textcopyright} 2020 The authors and IOS Press. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = sep,
day = "15",
doi = "10.3233/faia200629",
language = "English",
isbn = "9781643681160",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "241--244",
editor = "Andrius Utka and Jurgita Vaicenoniene and Jolanta Kovalevskaite and Danguole Kalinauskaite",
booktitle = "Human Language Technologies - The Baltic Perspective - Proceedings of the 9th International Conference Baltic HLT 2020",
address = "Netherlands",
}