UD Bavarian MaiBaam
Language: Bavarian (code: bar)
Family: Indo-European, Germanic
This treebank has been part of Universal Dependencies since the UD v2.14 release.
The following people have contributed to making this treebank part of UD: Verena Blaschke, Barbara Kovačić, Siyao Peng, Barbara Plank.
Repository: UD_Bavarian-MaiBaam
Search this treebank on-line: PML-TQ
Download all treebanks: UD 2.14
License: CC BY-SA 4.0
Genre: wiki, social, fiction, nonfiction, grammar-examples
Questions, comments? General annotation questions (either Bavarian-specific or cross-linguistic) can be raised in the main UD issue tracker. You can report bugs in this treebank in the treebank-specific issue tracker on Github. If you want to collaborate, please contact [verena • blaschke (æt) cis • lmu • de]. Development of the treebank happens directly in the UD repository, so you may submit bug fixes as pull requests against the dev branch.
| Annotation | Source |
|---|---|
| Lemmas | not available |
| UPOS | annotated manually, natively in UD style |
| XPOS | not available |
| Features | not available |
| Relations | annotated manually, natively in UD style |
Description
MaiBaam is manually annotated with part-of-speech tags and syntactic dependencies. The treebank encompasses diverse text genres (wiki articles and discussions, grammar examples, fiction, and commands for virtual assistants) and dialects from the North, Central and South Bavarian areas as well as the dialectal transition areas in between.
Although Bavarian is closely related to Standard German, there are morphosyntactic differences, several of which are reflected in the UD annotations. We detail these differences in the documents linked below. As there is no standard orthography for Bavarian, the spelling reflects the phonetic variation between different Bavarian dialects, as well as idiosyncratic spelling-related differences.
We include sentence-level metadata:
genre: One of wiki (Wikipedia articles), social (Wikipedia discussion pages), fiction (fairy tales), grammar examples (Tatoeba sentences, example sentences from Wikipedia pages about Bavarian grammar), non-fiction (queries for virtual assistants).dialect_group: One of north, northcentral, central, southcentral, south if we know the dialect group (where, e.g., southcentral is the transition area between the South Bavarian and Central Bavarian dialect regions), unk (unknown) if we do not have any information on the dialect group, and a code like unk (southcentral/south) if we can narrow down the options to, in this case, South Bavarian or the South/Central transition area.location: The city or municipality if known, else the state or province, else the country, else unk (unknown).source: For sentences from Wikipedia or Tatoeba, we include the source URL.author: The username of a Tatoeba sentence’s author, per Tatoeba’s usage conditions.
The sent_ids indicate what source a sentence was taken from (see below).
Acknowledgments
Sources and licenses
We include sentences from the following sources, as indicated by different sent_id prefixes:
- Bavarian Wikipedia, (
wiki,wikitalk,wikisource,wikisample) shared under CC BY-SA 4.0. - Tatoeba (
tatoeba), shared under CC BY 2.0 FR, with usage conditions also detailed here. - Translations of xSID (van der Goot et al. 2020, Winkler et al. 2024: “Slot and Intent Detection Resources for Bavarian and Lithuanian: Assessing Translations vs Natural Queries to Digital Assistants”), shared under CC BY-SA 4.0 International. NOTE: We include different data splits: xSID dev for South Tyrolean sentences (
xsid_de-st_dev), xSID test (!) for Central Bavarian sentences (xsid_de-ba_test). - Non-translated SID data, also from Winkler et al. 2024 (
sid_de-ba_natural). - A translation of the Cairo CICLing Corpus (
cairo).
References
The data collection and annotation, as well as initial ML experiments are described in the following paper, which also contains a data statement. Please cite this paper when using the treebank:
- Verena Blaschke, Barbara Kovačić, Siyao Peng, Hinrich Schütze & Barbara Plank. 2024. MaiBaam: A multi-dialectal Bavarian Universal Dependency treebank. LREC-COLING 2024. (pdf)
For detailed annotation guidelines, please read the following report:
- Verena Blaschke, Barbara Kovačić, Siyao Peng, Barbara Plank. 2024. MaiBaam Annotation Guidelines. Report, LMU Munich. (pdf)
Statistics of UD Bavarian MaiBaam
POS Tags
ADJ – ADP – ADV – AUX – CCONJ – DET – INTJ – NOUN – NUM – PART – PRON – PROPN – PUNCT – SCONJ – SYM – VERB – X
Features
Relations
acl – acl:relcl – advcl – advcl:relcl – advmod – amod – appos – aux – aux:pass – case – cc – ccomp – compound – compound:prt – conj – cop – csubj – dep – det – det:poss – discourse – dislocated – expl – expl:pv – fixed – flat – goeswith – mark – nmod – nsubj – nsubj:pass – nummod – obj – obl – obl:agent – obl:arg – orphan – parataxis – punct – reparandum – root – vocative – xcomp
Tokenization and Word Segmentation
- This corpus contains 1070 sentences, 14680 tokens and 15024 syntactic words.
- This corpus contains 2475 tokens (17%) that are not followed by a space.
- This corpus does not contain words with spaces.
- This corpus contains 159 types of words that contain both letters and punctuation. Examples: d', 's, s', z', 'n, B., z., 'e, 'm, J-Pop, 'a, C., bzw., d’, Jazz-Rap, das'sd, dt., d‘, s’, ’s, 'd, III., Jh., Tierstückl'n, g'head, g'schrieb'n, g'spült, host', n', za., "ö"-Thema, 'ma, 'mar, 'me, 'r, 'ra, 'schau, .NET, Anime-Fans, Anime-Synchronschbrecha, Annaberg-Lungötz, Arabica-Kafää, B'suach, Bar-, D'rbei, De-Wikipedia, Fabl-Viech, Fasanerie-, G'miat, G'schmåck
- This corpus contains 344 multi-word tokens. On average, one multi-word token consists of 2.00 syntactic words.
- There are 75 types of multi-word tokens. Examples: im, vom, zum, am, beim, in, ins, zan, zua, aufn, an, zun, auf'm, aum, fian, firn, midn, vam, van, auf'n, aufm, ausm, ausn, durchs, firs, fum, ind, min, mit'n, mitn, von, üwan, Baim, Bein, Nochm, Unt'ra, Vaum, Wengam, afd, ans, asn, auf's, aus'm, aus'n, bån, duachn, fürn, gengan, gengas, in'.
Morphology
Tags
- This corpus uses 17 UPOS tags out of 17 possible: ADJ, ADP, ADV, AUX, CCONJ, DET, INTJ, NOUN, NUM, PART, PRON, PROPN, PUNCT, SCONJ, SYM, VERB, X
- This corpus contains 20 word types tagged as particles (PART): a, ned, neda, nem, net, neta, nia, niat, nicht, nid, nim, nit, z, z', za, ze, zi, zou, zu, zua
- This corpus contains 1 lemmas tagged as pronouns (PRON): _
- This corpus contains 1 lemmas tagged as determiners (DET): _
- Out of the above, 1 lemmas occurred sometimes as PRON and sometimes as DET: _
- This corpus contains 1 lemmas tagged as auxiliaries (AUX): _
- Out of the above, 1 lemmas occurred sometimes as AUX and sometimes as VERB: _
- This corpus does not use the VerbForm feature.
Nominal Features
Degree and Polarity
Verbal Features
Pronouns, Determiners, Quantifiers
Other Features
Syntax
Auxiliary Verbs and Copula
- This corpus uses 1 lemmas as copulas (cop). Examples: _.
- This corpus uses 1 lemmas as auxiliaries (aux). Examples: _.
- This corpus uses 1 lemmas as passive auxiliaries (aux:pass). Examples: _.
Core Arguments, Oblique Arguments and Adjuncts
Here we consider only relations between verbs (parent) and nouns or pronouns (child).
- nsubj
- VERB--NOUN (247)
- VERB--PRON (535)
- obj
- VERB--NOUN (456)
- VERB--NOUN-ADP(_) (2)
- VERB--PRON (147)
Reflexive Verbs
- This corpus contains 17 lemmas that occur at least once with an expl:pv child. Examples: _ se, _ si, _ mi, _ ma, _ di, _ eich, _ uns, _ da, _ mir, _ sich, _ 'ma, _ eam, _ eana, _ eng, _ me, _ sie, _ z
Relations Overview
- This corpus uses 9 relation subtypes: acl:relcl, advcl:relcl, aux:pass, compound:prt, det:poss, expl:pv, nsubj:pass, obl:agent, obl:arg
- The following 3 relation types are not used in this corpus at all: iobj, clf, list