Neural models for morphological generation, analysis and lemmatization in 22 languages

• Main Authors: Hämäläinen, Mika, Partanen, Niko, Rueter, Jack, Alnajjar, Khalid
• Format: Dataset
• Language: Finnish
• Published: Zenodo 2020
• Subjects: morphology; fst; endangered languages; neural models; Rus’; Inari; Hämäläinen; karelian; sami; Mansi
• Online Access: https://dx.doi.org/10.5281/zenodo.3926768; https://zenodo.org/record/3926768

Morphological 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...