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MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank

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arxiv 2403.10293 v1 pith:LGVNB3E2 submitted 2024-03-15 cs.CL

MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank

classification cs.CL
keywords bavariangermanlanguagetreebankbreadthcoveringdependencymaibaam
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Despite the success of the Universal Dependencies (UD) project exemplified by its impressive language breadth, there is still a lack in `within-language breadth': most treebanks focus on standard languages. Even for German, the language with the most annotations in UD, so far no treebank exists for one of its language varieties spoken by over 10M people: Bavarian. To contribute to closing this gap, we present the first multi-dialect Bavarian treebank (MaiBaam) manually annotated with part-of-speech and syntactic dependency information in UD, covering multiple text genres (wiki, fiction, grammar examples, social, non-fiction). We highlight the morphosyntactic differences between the closely-related Bavarian and German and showcase the rich variability of speakers' orthographies. Our corpus includes 15k tokens, covering dialects from all Bavarian-speaking areas spanning three countries. We provide baseline parsing and POS tagging results, which are lower than results obtained on German and vary substantially between different graph-based parsers. To support further research on Bavarian syntax, we make our dataset, language-specific guidelines and code publicly available.

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Cited by 1 Pith paper

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  1. Llama-GENBA-10B: A Trilingual Large Language Model for German, English and Bavarian

    cs.CL 2025-09 conditional novelty 6.0

    Llama-GENBA-10B is a 10B-parameter trilingual model that reports top Bavarian scores among sub-10B models on a machine-translated benchmark the authors built.