<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article presents the upcoming acquisition corpus of written texts of students learning Slovak as a Foreign Language and focuses on the annotation of texts, which includes information about the text as well as social and linguistic details about the student. The article also discusses the tags that identify individual errors in the texts and concept of creating the tagset itself.</p></abstract>

The article presents the upcoming acquisition corpus of written texts of students learning Slovak as a Foreign Language and focuses on the annotation of texts, which includes information about the text as well as social and linguistic details about the student. The article also discusses the tags that identify individual errors in the texts and concept of creating the tagset itself.

Annotations in the Corpus of Texts of Students Learning Slovak as a Foreign Language (ERRKORP)

Ľudovít Štúr Institute of Linguistics

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The article presents the upcoming acquisition corpus of written texts of students learning Slovak as a Foreign Language and focuses on the annotation of texts,...

Annotations in the Corpus of Texts of Students Learning Slovak as a Foreign Language (ERRKORP)

Publicado en línea: 21 dic 2019

Páginas: 345 - 357

DOI: https://doi.org/10.2478/jazcas-2019-0064

Palabras clave
language error, learner corpus, slovak, tagging, annotation

© 2019 Michaela Mošaťová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Annotations in the Corpus of Texts of Students Learning Slovak as a Foreign Language (ERRKORP)

Publicado en línea: 21 dic 2019

Páginas: 345 - 357

DOI: https://doi.org/10.2478/jazcas-2019-0064

Palabras clavelanguage error, learner corpus, slovak, tagging, annotation

© 2019 Michaela Mošaťová et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Palabras clave
language error, learner corpus, slovak, tagging, annotation