Papers by Sjur Moshagen
The Ethical Question – Use of Indigenous Corpora for Large Language Models (2024.lrec-main)
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Linda Wiechetek, Flammie A. Pirinen, Børre Gaup, Trond Trosterud, Maja Lisa Kappfjell, Sjur Moshagen
| Challenge: | Creating language technology based on language data is becoming more popular . indigenous language resources are not comparable in that they would encode the most recent normativised language . |
| Approach: | They describe an ethical way to work with indigenous languages based on language data . they say data driven methods make assumptions based upon majority languages they work with . authors say data-driven methods are not ethical or beneficial . |
| Outcome: | The proposed method is ethical and sustainable, and can be applied to indigenous languages in an ethical way. |
Modeling Northern Haida Verb Morphology (L18-1)
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| Challenge: | a computational model of the verbal morphology of Northern Haida is being developed . the model is capable of handling complex affixation patterns and morphophonological alternations . |
| Approach: | They propose a computational model of the verbal morphology of Northern Haida based on finite state machines with a focus on verbs. |
| Outcome: | The proposed model can handle complex affixation patterns and morphophonological alternations in the native language. |
Unmasking the Myth of Effortless Big Data - Making an Open Source Multi-lingual Infrastructure and Building Language Resources from Scratch (2022.lrec-1)
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Linda Wiechetek, Katri Hiovain-Asikainen, Inga Lill Sigga Mikkelsen, Sjur Moshagen, Flammie Pirinen, Trond Trosterud, Børre Gaup
| Challenge: | During the last two decades, machine learning approaches have dominated the field of natural language processing (NLP) weak literary traditions give rise to corpora too unreliable to function as a model for NLP tools. |
| Approach: | They propose an alternative to corpus-based language technology that can provide language technology solutions for minority languages. |
| Outcome: | The proposed approach can provide language technology solutions for minority languages outside the reach of corpus-based language technology. |