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  1. Apr 16, 2018 · Semantris is a fun, addictive game that asks players to come up with a word that relates most specifically to another word. The challenge is to word-associate as quickly and accurately as possible.

  2. Sep 20, 2023 · Beyond being an educational game, Semantris also serves an important purpose in research in the field of natural language processing. Google Research uses this game to evaluate the capabilities of new language models. When you play Semantris, you are directly contributing to the advancement of AI and helping to shape the future of this technology.

  3. Using the --verbose flag will enable the verbose logging configuration. python main.py play --mode=arcade --verbose. It will take 5-10 minutes to load the word embedding model. Start the arcade version (in blue color theme) of the game in a full screen mode. Put the cursor in the game input field for the system to enter the suggestions.

  4. Aug 6, 2019 · 3. Semantris (Web): Word Association with AI. Semantris is a treat for people with a love for the English language. There are two versions of the game, both offering a whole new take on classic word association games. Semantris, a part of Google's AI experiments, shows you a collection of words on the screen.

  5. Dec 15, 2020 · To demonstrate Artificial Intelligence (AI) and Machine Learning (ML), Google Creative Lab 🔬 created an online word association game 🕹️ called "Semantris" ...

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    • Coding With Kids
  6. May 10, 2018 · Semantris is similar to other word association games where a person gives clues to help their teammate guess the correct words. However, in Semantris, you give your hints to an AI. Because the AI can sometimes have quirky responses, you'll need to experiment with different types of clues to learn how this AI thinks and to earn the highest scores.

  7. Join the community. Semantris is an example of a word game built through natural language processing models. The code can be downloaded to develop other applications related to natural language processing.

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