The GiellaLT infrastructure: A multilingual infrastructure for rule-based NLP

Autor: Nørstebø Moshagen, Sjur, Pirinen, Flammie, Antonsen, Lene, Gaup, Børre, Mikkelsen, Inga Lill Sigga, Trosterud, Trond, Wiechetek, Linda, Hiovain-Asikainen, Katri

Publikováno v: Nørstebø Moshagen S, Pirinen F, Antonsen L, Gaup b, Mikkelsen ILS, Trosterud T, Wiechetek L, Hiovain-Asikainen K. The GiellaLT infrastructure: A multilingual infrastructure for rule-based NLP. NEALT Monograph Series. 2023;2(1):70-94

Externí odkaz: https://hdl.handle.net/10037/33134

Mii *eai leat gal vuollánan – Vi *ha neimen ikke gitt opp

Autor: Wiechetek, Linda, Pirinen, Flammie, Gaup, Børre, Argese, Chiara, Omma, Thomas

Machine learning is the dominating paradigm in natural language processing nowadays. It requires vast amounts of manually annotated or synthetically generated text data. In the GiellaLT infrastructure, on the other hand, we have worked with rule-base

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::160dcbf2eb50bf5453785c3a5957007a
https://hdl.handle.net/10037/28380

Recent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages

Autor: Khanna, Tanmai, Washington, Jonathan North, Tyers, Francis Morton, Bayatlı, Sevilay, Swanson, Daniel, Pirinen, Flammie, Tang, Irene, Alos i Font, Héctor

Publikováno v: Khanna, Washington, Tyers, Bayatlı, Swanson, Pirinen, Tang, Alos i Font. Recent advances in Apertium, a free/open-source rule-based machine translation platform for low-resource languages. Machine Translation. 2021

Externí odkaz: https://hdl.handle.net/10037/22990

You can't suggest that?! Comparisons and improvements of speller error models.

Autor: Kaalep, Heiki-Jaan, Pirinen, Flammie, Moshagen, Sjur Nørstebø

Publikováno v: Nordlyd; 2022, Vol. 46 Issue 1, p125-139, 15p