Euskarazko lehen C1 ebaluatzaile automatikoa
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Abstract (arXiv)
Throughout this project, we have attempted to develop an automatic evaluator that determines whether Basque language compositions meet the C1 level. To achieve our goal, we obtained 10,000 transcribed compositions through an agreement between HABE and HiTZ to train our system. We have developed different techniques to avoid data scarcity and system overfitting: EDA, SCL and regulation; We have also conducted tests with different Language Models to analyze their behavior. Finally, we have also performed analyses of different system behaviors to measure model calibration and the impact of artifacts. -- Proiektu honetan zehar euskarazko idazlanek C1 maila duten edo ez zehazten duen ebaluatzaile automatiko bat garatzen saiatu gara. Gure helburua betetzeko HABE eta HiTZ arteko hitzarmenaren bitartez 10.000 transkribatutako idazlan eskuratu ditugu gure sistema entrenatzeko. Datu eskasia eta sistemaren gaindoitzea ekiditeko teknika ezberdinak landu ditugu: EDA, SCL eta erregulazioa; Hizkuntza Eredu ezberdinekin ere probak egin ditugu duten portaera aztertzeko. Azkenik, sistema ezberdinen portaeren analisiak ere egin ditugu, ereduen kalibrazioa eta artefaktuen eragina neurtzeko.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 25 references that are in the map. First posted on arXiv 18 Feb 2025.
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References · 9
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2020Supervised Contrastive Learningcited by 2,829
- 2019EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Taskscited by 807
- 2020Supervised Contrastive Learning for Pre-trained Language Model Fine-tuningcited by 276
- 2024Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generationcited by 63
- 2024Latxa: An Open Language Model and Evaluation Suite for Basquecited by 42
- 2020Give your Text Representation Models some Love: the Case for Basquecited by 28
- 2021Many Hands Make Light Work: Using Essay Traits to Automatically Score Essayscited by 25
- 2022Does Corpus Quality Really Matter for Low-Resource Languages?cited by 11
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