Papers with GiellaLT
Unmasking the Myth of Effortless Big Data - Making an Open Source Multi-lingual Infrastructure and Building Language Resources from Scratch (2022.lrec-1)
Copied to clipboard
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. |