Thesis Details
Rychlá adaptace počítačové podpory hry Krycí jména pro nové jazyky
This thesis extends a system of an artificial player of a word-association game Codenames to easy addition of support for new languages. The system is able to play Codenames in roles as a guessing player, a clue giver or, by their combination a Duet version player. For analysis of different languages a neural toolkit Stanza was used, which is language independent and enables automated processing of many languages. It was mainly about lemmatization and part of speech tagging for selection of clues in the game. For evaluation of word associations were several models tested, where the best results had a method Pointwise Mutual Information and predictive model fastText. The system supports playing Codenames in 36 languages comprising 8 different alphabets.
Codenames, multilingual support, natural language processing, lemmatization, artificial intelligence, AI, Pointwise Mutual Information, word embeddings, fastText, Python
Bařina David, Ing., Ph.D. (DCGM FIT BUT), člen
Burget Lukáš, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Čadík Martin, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Rozman Jaroslav, Ing., Ph.D. (DITS FIT BUT), člen
@mastersthesis{FITMT21497, author = "Petr Jare\v{s}", type = "Master's thesis", title = "Rychl\'{a} adaptace po\v{c}\'{i}ta\v{c}ov\'{e} podpory hry Kryc\'{i} jm\'{e}na pro nov\'{e} jazyky", school = "Brno University of Technology, Faculty of Information Technology", year = 2021, location = "Brno, CZ", language = "czech", url = "https://www.fit.vut.cz/study/thesis/21497/" }