cc-by-4.0Hämäläinen, MikaPartanen, NikoRueter, JackAlnajjar, Khalid2025-03-242020-07-012020-07-01https://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/9013Morphological models for generation, lemmatization and analysis in 22 languages. The models are trained in OpenNMT-py https://github.com/OpenNMT/OpenNMT-py. Feed one word at a time, split into characters (kissa -> k i s s a) Supported languages: German (deu), Kven (fkv), Komi-Zyrian (kpv), Mokhsa (mdf), Mansi (mns), Erzya (myv), Norwegian Bokmål (nob), Russian (rus), South Sami (sma), Lule Sami (smj), Skolt Sami (sms), Võro (vro), Finnish (fin), Komi-Permyak (koi), Latvian (lav), Eastern Mari (mhr), Western Mari (mrj), Namonuito (nmt), Olonets-Karelian (olo), Pite Sami (sje), Northern Sami (sme), Inari Sami (smn) and Udmurt (udm) Cite: Hämäläinen, M., Partanen, N., Rueter, J., & Alnajjar, K. (2021). Neural Morphology Dataset and Models for Multiple Languages, from the Large to the Endangered. In Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021)Openmorphologyfstendangered languagesneural modelsNeural models for morphological generation, analysis and lemmatization in 22 languagesdataset