Papers by Markus Forsberg

2 papers
The DReaM Corpus: A Multilingual Annotated Corpus of Grammars for the World’s Languages (2020.lrec-1)

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Challenge: Until recently, language descriptions were available in paper form only, with indexes as the only search aid.
Approach: They propose to digitize a multilingual corpus of language descriptions and annotate it with various meta, word, and text attributes to make searching and analysis easier and more useful.
Outcome: The proposed corpus is searchable through a couple of well-established corpus infrastructures.
Superlim: A Swedish Language Understanding Evaluation Benchmark (2023.emnlp-main)

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Challenge: In this paper, we present a multi-task benchmark for Swedish language models . we address methodological challenges, such as mitigating the Anglocentric bias when creating datasets for a less-resourced language .
Approach: They propose a multi-task NLP benchmark for Swedish language models . they propose to use superlim to evaluate Swedish language model performance .
Outcome: The proposed benchmark does not approach ceiling performance on any of the tasks, suggesting it is difficult to implement.

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