3 papers
cs.CL2024
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…
cs.CL2023
Assessment of Pre-Trained Models Across Languages and Grammars
Alberto Muñoz-Ortiz, David Vilares, Carlos Gómez-Rodríguez
We present an approach for assessing how multilingual large language models (LLMs) learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent and…
cs.CL2023
Another Dead End for Morphological Tags? Perturbed Inputs and Parsing
Alberto Muñoz-Ortiz, David Vilares
The usefulness of part-of-speech tags for parsing has been heavily questioned due to the success of word-contextualized parsers. Yet, most studies are limited to coarse-grained tag…