MaiBaam Annotation Guidelines

Fuente: arXiv
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Autori principali: Blaschke, Verena, Kovačić, Barbara, Peng, Siyao, Plank, Barbara
Natura: Preprint
Pubblicazione: 2024
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author Blaschke, Verena
Kovačić, Barbara
Peng, Siyao
Plank, Barbara
author_facet Blaschke, Verena
Kovačić, Barbara
Peng, Siyao
Plank, Barbara
contents This document provides the annotation guidelines for MaiBaam, a Bavarian corpus manually annotated with part-of-speech (POS) tags, syntactic dependencies, and German lemmas. MaiBaam belongs to the Universal Dependencies (UD) project, and our annotations elaborate on the general and German UD version 2 guidelines. In this document, we detail how to preprocess and tokenize Bavarian data, provide an overview of the POS tags and dependencies we use, explain annotation decisions that would also apply to closely related languages like German, and lastly we introduce and motivate decisions that are specific to Bavarian grammar.
format Preprint
id arxiv_https___arxiv_org_abs_2403_05902
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle MaiBaam Annotation Guidelines
Blaschke, Verena
Kovačić, Barbara
Peng, Siyao
Plank, Barbara
Computation and Language
This document provides the annotation guidelines for MaiBaam, a Bavarian corpus manually annotated with part-of-speech (POS) tags, syntactic dependencies, and German lemmas. MaiBaam belongs to the Universal Dependencies (UD) project, and our annotations elaborate on the general and German UD version 2 guidelines. In this document, we detail how to preprocess and tokenize Bavarian data, provide an overview of the POS tags and dependencies we use, explain annotation decisions that would also apply to closely related languages like German, and lastly we introduce and motivate decisions that are specific to Bavarian grammar.
title MaiBaam Annotation Guidelines
topic Computation and Language
url https://arxiv.org/abs/2403.05902