Papers with Norwegian language

3 papers
NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark (2025.findings-acl)

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Challenge: NorEval is a new evaluation suite for large-scale standardized benchmarking of Norwegian generative language models (LMs).
Approach: They propose a new evaluation suite for large-scale standardized benchmarking of Norwegian generative language models (LMs) NorEval consists of 24 high-quality human-created datasets, of which five are created from scratch.
Outcome: The evaluation framework and materials are publicly available.
The Norwegian Colossal Corpus: A Text Corpus for Training Large Norwegian Language Models (2022.lrec-1)

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Challenge: Norwegian is one of many languages lacking sufficient textual data to train quality language models.
Approach: They propose to release 49GB of clean Norwegian textual data containing over 7B words . they hope to foster the creation of better Norwegian language models and multilingual language models .
Outcome: The Norwegian Colossal Corpus (NCC) contains 49GB of clean Norwegian textual data containing over 7B words.
Estimating Lexical Complexity from Document-Level Distributions (2024.lrec-main)

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Challenge: Existing methods for complexity estimation are limited to entire documents . health assessment tools are too short for existing methods to apply .
Approach: They propose a two-step approach for estimating lexical complexity that does not rely on pre-annotated data.
Outcome: The proposed method is tested on the Norwegian language and compares with other assessment tools.

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