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Given a word, this demo shows a list of other words that are similar to it, i.e. nearby in the vector space.
Given two words, this demo gives the similarity value between 1 and -1.
This demo computes word analogy: the first word is to the second word like the third word is to which word? Try for example ilma - lintu - vesi (air - bird - water) which would expect to return kala (fish) because fish is to water like bird is to air. Other cases could be for example sammakko - hyppää - kala. This is however only a toy to show what is possible - most of the time the analogy does not work particularly well (at least for the Finnish data).
The demo is based on word embeddings induced using the word2vec method, trained on 4.5B words of Finnish from the Finnish Internet Parsebank project and over 2B words of Finnish from Suomi24. On the Parsebank project page you can also download the vectors in binary form. The software behind the demo is open-source, available on GitHub. The demo is maintained by the Turku NLP group.