FinMeter models

This contains data files needed for FinMeter. This data is complementary for FinMeter Python library described in: Mika Hämäläinen and Khalid Alnajjar (2019). Let's FACE it. Finnish Poetry Generation with Aesthetics and Framing. In the Proceedings of The 12th International Conference on Natural Language Generation. Sources: The pretrained vectors for Finnish (es - I know) and English (en) are from E. Grave, P. Bojanowski, P. Gupta, A. Joulin, T. Mikolov, Learning Word Vectors for 157 Languages . Creative Commons Attribution-Share-Alike License 3.0. See https://fasttext.cc/docs/en/crawl-vectors.html The word2vec model trained on the Finnish Internet ParseBank is from Kanerva, Jenna; Luotolahti, Juhani; Laippala, Veronika; Ginter, Filip: Syntactic N-gram Collection from a Large-Scale Corpus of Internet Finnish. Proceedings of the Sixth International Conference Baltic HLT. 2014. paper. Creative Commons Attribution-ShareAlike 4.0 International License. See http://bionlp.utu.fi/finnish-internet-parsebank.html The Finnish concreteness data has been automatically translated from Brysbaert, Marc, Amy Beth Warriner, and Victor Kuperman. "Concreteness ratings for 40 thousand generally known English word lemmas." Behavior research methods 46.3 (2014): 904-911. Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. see http://crr.ugent.be/archives/1330