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2. Generator of Czech lyrics according to structure
- Creator:
- Štěpánková, Barbora
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- Song lyrics generation
- Language:
- Czech
- Description:
- Fine-tuned Czech TinyLlama model (https://huggingface.co/BUT-FIT/CSTinyLlama-1.2B) and Czech GPT2 small model (https://huggingface.co/lchaloupsky/czech-gpt2-oscar) to generate lyrics of song sections based on the provided syllable counts, keywords and rhyme scheme. The TinyLlama-based model yields better results, however, the GPT2-based model can run locally. Both models are discussed in a Bachelor Thesis: Generation of Czech Lyrics to Cover Songs.
- Rights:
- The MIT License (MIT), http://opensource.org/licenses/mit-license.php, and PUB
3. Prep for Adventure: A game for the acquisition of English prepositions
- Creator:
- Marková, Daniela
- Publisher:
- Charles University, Faculty of Arts, Department of English Language and ELT Methodology
- Type:
- tool and toolService
- Subject:
- language acquisition, game-based learning, educational games, prepositions, and English
- Language:
- English
- Description:
- The presented game is designed to teach the six most frequent English prepositions (to, of, in, for, on, and with) at the A1 to A2 levels of proficiency. Prep for Adventure is a single-player game comprised of five separate tasks – jumping puzzle, cooking, town maze, lighting the goblets, and a banter with a classmate. Their mechanics are then combined in the final task (The Final Fight) to elicit the correct responses of the subject. The language used in the game is adjusted for the subjects’ level of proficiency, the game is fully voiced and offers a degree of customization. All tasks are based on the gap-filling type of exercise where subjects have to complete a sentence with a missing word, either by typing it in or via different kinds of multiple-choice formats. The game is designed to advance the subjects’ performance in prepositional structures by exposing players to as much input as possible. The length of one average playthrough is approximately 30-45 minutes. The game was created in the RPG Maker MV engine where RPG stands for role-playing game, which is a genre of a game in which the player adopts a role/roles of a fictional character/characters in a (partly or fully) invented setting. The game story: The Grammar School of Witchcraft has been taken over by the Evil Preposition Magician and the player is trying to win their school back alongside with a young witch named Morphologina (the player’s guide).
- Rights:
- The MIT License (MIT), http://opensource.org/licenses/mit-license.php, and PUB
4. Public License Selector
- Creator:
- Sedlák, Michal, Straňák, Pavel, and Kamocki, Pawel
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
- Type:
- tool and toolService
- Subject:
- Legal and Licensing
- Language:
- English
- Description:
- Customizable tool that will help user select the right open license for his data or software
- Rights:
- The MIT License (MIT), http://opensource.org/licenses/mit-license.php, and PUB
5. THEaiTRobot 1.0
- Creator:
- Rosa, Rudolf, Dušek, Ondřej, Kocmi, Tom, Mareček, David, Musil, Tomáš, Schmidtová, Patrícia, Jurko, Dominik, Bojar, Ondřej, Hrbek, Daniel, Košťák, David, Kinská, Martina, Nováková, Marie, Doležal, Josef, and Vosecká, Klára
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), The Švanda Theatre in Smíchov, and The Academy of Performing Arts in Prague, Theatre Faculty (DAMU)
- Type:
- tool and toolService
- Subject:
- theatre and natural language generation
- Language:
- English and Czech
- Description:
- The THEaiTRobot 1.0 tool allows the user to interactively generate scripts for individual theatre play scenes. The tool is based on GPT-2 XL generative language model, using the model without any fine-tuning, as we found that with a prompt formatted as a part of a theatre play script, the model usually generates continuation that retains the format. We encountered numerous problems when generating the script in this way. We managed to tackle some of the problems with various adjustments, but some of them remain to be solved in a future version. THEaiTRobot 1.0 was used to generate the first THEaiTRE play, "AI: Když robot píše hru" ("AI: When a robot writes a play").
- Rights:
- The MIT License (MIT), http://opensource.org/licenses/mit-license.php, and PUB
6. THEaiTRobot 2.0
- Creator:
- Rosa, Rudolf, Dušek, Ondřej, Kocmi, Tom, Mareček, David, Musil, Tomáš, Schmidtová, Patrícia, Jurko, Dominik, Bojar, Ondřej, Hrbek, Daniel, Košťák, David, Kinská, Martina, Nováková, Marie, Doležal, Josef, Vosecká, Klára, Zakhtarenko, Alisa, and Obaid, Saad
- Publisher:
- Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), The Švanda Theatre in Smíchov, and The Academy of Performing Arts in Prague, Theatre Faculty (DAMU)
- Type:
- tool and toolService
- Subject:
- theatre and natural language generation
- Language:
- English and Czech
- Description:
- The THEaiTRobot 2.0 tool allows the user to interactively generate scripts for individual theatre play scenes. The previous version of the tool (http://hdl.handle.net/11234/1-3507) was based on GPT-2 XL generative language model, using the model without any fine-tuning, as we found that with a prompt formatted as a part of a theatre play script, the model usually generates continuation that retains the format. The current version also uses vanilla GPT-2 by default, but can also instead use a GPT-2 medium model fine-tuned on theatre play scripts (as well as film and TV series scripts). Apart from the basic "flat" generation using a theatrical starting prompt and the script model, the tool also features a second, hierarchical variant, where in the first step, a play synopsis is generated from its title using a synopsis model (GPT-2 medium fine-tuned on synopses of theatre plays, as well as film, TV series and book synopses). The synopsis is then used as input for the second stage, which uses the script model. The choice of models to use is done by setting the MODEL variable in start_server.sh and start_syn_server.sh THEaiTRobot 2.0 was used to generate the second THEaiTRE play, "Permeation/Prostoupení".
- Rights:
- The MIT License (MIT), http://opensource.org/licenses/mit-license.php, and PUB