1 citations · 3 across the 21 of their papers we have counts for
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Evaluating Pixel Language Models on Non-Standardized Languages
Alberto Muñoz-Ortiz, Verena Blaschke, Barbara Plank
We explore the potential of pixel-based models for transfer learning from standard languages to dialects. These models convert text into images that are divided into patches, enabl…
Sebastian, Basti, Wastl?! Recognizing Named Entities in Bavarian Dialectal Data
Siyao Peng, Zihang Sun, Huangyan Shan +4
Named Entity Recognition (NER) is a fundamental task to extract key information from texts, but annotated resources are scarce for dialects. This paper introduces the first dialect…
MaiBaam: A Multi-Dialectal Bavarian Universal Dependency Treebank
Verena Blaschke, Barbara Kovačić, Siyao Peng +2
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 fo…
MaiBaam Annotation Guidelines
Verena Blaschke, Barbara Kovačić, Siyao Peng +1
This document provides the annotation guidelines for MaiBaam, a Bavarian corpus manually annotated with part-of-speech (POS) tags, syntactic dependencies, and German lemmas. MaiBaa…
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties
Ekaterina Artemova, Verena Blaschke, Barbara Plank
Mainstream cross-lingual task-oriented dialogue (ToD) systems leverage the transfer learning paradigm by training a joint model for intent recognition and slot-filling in English a…
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects
Verena Blaschke, Christoph Purschke, Hinrich Schütze +1
Natural language processing (NLP) has largely focused on modelling standardized languages. More recently, attention has increasingly shifted to local, non-standardized languages an…