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.

我们提出了第一个多方言巴伐利亚树库（MaiBaam），通过 UD 手动标注了词性和句法依赖信息，涵盖多个文本流派，突出了巴伐利亚语和德语之间的形态句法差异，并展示了说话者拼写的丰富变化。我们的语料库包括 15k 个标记，涵盖了三个国家 Bavarian-speaking 区域的方言。我们提供了基准解析和词性标注结果，并公开了我们的数据集、语言特定的指南和代码，以支持进一步的巴伐利亚语法研究。

MaiBaam：一个多方言的巴伐利亚通用依存树库

MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank

We present Camelira, a web-based Arabic multi-dialect morphological
disambiguation tool that covers four major variants of Arabic: Modern Standard
Arabic, Egyptian, Gulf, and Levantine. Camelira offers a user-friendly web
interface that allows researchers and language learners to explore various
linguistic information, such as part-of-speech, morphological features, and
lemmas. Our system also provides an option to automatically choose an
appropriate dialect-specific disambiguator based on the prediction of a dialect
identification component. Camelira is publicly accessible at
this http URL.

Camelira 是一个基于 Web 的阿拉伯语多方言形态消歧工具，覆盖现代标准阿拉伯语、埃及语、海湾和黎凡特等四种主要方言，提供友好的 Web 界面，帮助研究人员和学习者探索各种语言信息，并提供根据方言识别组件的预测自动选择适当的方言特定消歧器的选项，可以在此 http URL 公开访问。