SemSms - Semantic Database for Skolt Sami

This SQLite database contains Skolt Sami lemmas and their frequencies in a big corpus. The lemmas are linked to each other based on the syntactic relations they have had in the corpus. Also, the frequency of a syntactic relation between two words is recorded. This means that it is possible to see how frequently for example the word for a dog has appeared with a subject relation with the verb for bark. These database is translated from SemFi by using Giellatekno XML dictionaries. For a detailed description of the structure, see https://www.kaggle.com/mikahama/semfi-finnish-semantics-with-syntactic-relations An easy programmatic interface is provided in UralicNLP: https://github.com/mikahama/uralicNLP/wiki/Semantics-(SemFi,-SemUr) Cite as Hämäläinen, Mika. (2018). Extracting a Semantic Database with Syntactic Relations for Finnish to Boost Resources for Endangered Uralic Languages. In The Proceedings of Logic and Engineering of Natural Language Semantics 15 (LENLS15)