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 <em>the Proceedings of The 12th International Conference on Natural Language Generation</em>. Sources: The pretrained vectors for Finnish (es - I know) and English (en) are from E. Grave, P. Bojanowski, P. Gupta, A. Joulin, T. Mikolov, <em>Learning Word Vectors for 157 Languages . Creative Commons Attribution-Share-Alike License 3.0</em>. 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." <em>Behavior research methods</em> 46.3 (2014): 904-911. Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. see http://crr.ugent.be/archives/1330