Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{1699700, author = {Novotný, Vít and Stará, Marie}, address = {Brno}, booktitle = {Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020}, editor = {Aleš Horák, Pavel Rychlý, Adam Rambousek}, keywords = {H. P. Lovecraft; language identification; N-grams; R'lyehian}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Brno}, isbn = {978-80-263-1600-8}, pages = {87-92}, publisher = {Tribun EU}, title = {Cthulhu Hails from Wales: N-gram Frequency Analysis of R'lyehian}, url = {https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=95}, year = {2020} }
TY - JOUR ID - 1699700 AU - Novotný, Vít - Stará, Marie PY - 2020 TI - Cthulhu Hails from Wales: N-gram Frequency Analysis of R'lyehian PB - Tribun EU CY - Brno SN - 9788026316008 KW - H. P. Lovecraft KW - language identification KW - N-grams KW - R'lyehian UR - https://nlp.fi.muni.cz/raslan/raslan20.pdf#page=95 N2 - R'lyehian is a unique fictional language penned by the prolific 20th century horror fiction author H. P. Lovecraft. Prior work in the area of the Lovecraftian mythos has not yet studied the similarities between R'lyehian and natural languages, which are crucial for determining its true origins. We produced a comprehensive wordlist of R'lyehian and used open-source $N$-gram-based language identification tools to find the most similar natural languages to R'lyehian. From the comprehensive wordlist, we also constructed a frequency table of all unigraphs and digraphs in R'lyehian. We show that R'lyehian is most similar to Celtic languages, which lays grounds for our hypothesis that R'lyeh, where Cthulhu lies dreaming, might be a place in Wales. Our frequency tables will prove a useful resource for future work in the area of the Lovecraftian mythos. ER -
NOVOTNÝ, Vít a Marie STARÁ. Cthulhu Hails from Wales: N-gram Frequency Analysis of R'lyehian. In Aleš Horák, Pavel Rychlý, Adam Rambousek. \textit{Proceedings of the Fourteenth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2020}. Brno: Tribun EU, 2020, s.~87-92. ISBN~978-80-263-1600-8.
|