These pages will be ignored since we want clue pages that can be used to clue for multiple terms. When comparing vectors, you will often hear the language of distance and similarity, which are two sides of the same coin, meaning difference and closeness of two vectors, respectively. Clue pages and source pages will be downloaded from Wikipedia, with the pages text stored in a sqlite database along with the page id. Then, you read the text into a small moving window, considering maybe ten words at a timenine "context" words and one target word. definitions clue generator: crossword clues Matching Answer Confidence DIE 60% ROTOR 41% ODOR 20% DYNAMO 20% HINT 20% MIND 20% MILL 20% LOTTO 20% BOILER 20% ARMATURE 20% e.g. crossword today. Sometimes you have to make judgment calls about what is valid and what is not. This project was In order to consistently evaluate different clue generation strategies, I scored each strategy using this equation: score=(# correct guesses # incorrect guesses) / # clues given. You can easily improve your search by specifying the number of letters in the answer. You can't tie BUG, BED, and BOW together with a clue like b: 3 nor with a clue like three: 3. Codename generator. Please PyTesseract cannot read these files in order if the tiles are slightly misalligned; The light glares result in the pixels being not black and therefore some words disappear after noise cleaning; The noise cleaning result in a clean output of white background and black words; PyTesseract was able to read all the information with no issues; After receiving the output string from the PyTesseract I used quick string formatting to get the resulting array of words. Two rival spymasters know the secret identities of 25 agents. https://gist.github.com/jsomers/1bb5e197dec221714df250e72265a301, https://medium.com/analytics-vidhya/basics-of-using-pre-trained-glove-vectors-in-python-d38905f356db. There was a problem preparing your codespace, please try again. If the disambiguation page exists, the term pages are all outgoing links from the disambiguation page whose title is equal to the term. However, the time required to get volunteers and acquire data seems impractical, so are there any other ways we can perform testing? There's an over-indexing problem: words that happen to be very close to one or two of the targets will rank highly even when they're far away from the third. a game of codenames only giving clues that relate to one word. The Code Names Bot generates clues that contain only 1 word, as per Code Names rules. Connect with your friends using your favorite audio or video chat. to use Codespaces. For this case, I chose to work with cosine similarity, although I may look into other options in the future. that are so different from a human's frame of reference. As before, much of the list seems kind of useless. (Quietly, so the others can't hear). Clearly, though, "TWITTER" is the best clue, associating as it does to computer stuff ("screen," "server") and to birds ("robin"). If nothing happens, download GitHub Desktop and try again. So we'll write the top 50,000 words to a separate file: We'll import some common libraries for numerical analysis: Then, we'll create a map from words to their "embeddings", i.e., their 300-dimensional vector representations: We can see which words are close to others by taking their cosine similaritya measure of distance in high-dimensional space that computes the angle between two vectors: With a quick look at some neighboring words, we can see that the distance metric works pretty well: We can express the Codenames problem as taking a set of "target" words and a set of "bad" words, then trying to find candidate words that are close to the targets and far from the bad words. With our crossword solver search engine you have access to over 7 million clues. Refine the search results by specifying the number of letters. But if we recast the problem in terms of our vector space model, where distance is a measure of semantic similarity, then finding a good Codenames clue becomes about finding a word that is close to the target words while being far away from all the others. Until BREAK is covered up by a card, you can't say break, broken, breakage, or breakdown. Choose a clue-giver aka spymaster in each team. The score from 01 will represent the relatedness of the clue to the term. ), but still didn't deliver "twitter." Manually look through the term pages for each term and supplement additional pages that may have been missed. We represent a current board and team state with the following inputs: What we are looking for is a list of potential clues the codemaster could use with the following fields: As with most data science problems, the hardest part if quantifying exactly what you are looking to maximize or predict. At its core, it is a word association game. If both teams are guessing accurately, there will be few cards belonging to them and a higher concentration of neutral cards. Here's how you can win Codenames every time in exactly two clues, no matter what the board looks like: Enumerate each word on the board with the numbers 0-24. I tried this clue on a friend who wasn't part of the initial experiment; they guessed all three targets correctly. It's just a list of words followed by 300 numbers, each number referring to a coordinate of that word's vector in a 300-dimensional space. It's a computationally intense procedure. The user gets a field for every row and has to manually input the values for each grid cell, ie, blue, red, red, blue, blue. Clearly the program is noisy. Optimization note: The code in the Git repo uses an iterative method to calculate PageRank, since there isnt enough memory on a personal computer to use the matrix method on all of the Wikipedia pages. list of synonyms for your answer. If nothing happens, download Xcode and try again. The GloVe vectors we'll be using were trained on 42 billion words worth of text gotten from the Common Crawl. Based off of the popular boardgame 'Codenames', this program constructs a database of 'relatednesses' between words and The number in parens is the minimax score that we're sorting by: I find these results pretty striking. For example, the clue page for Cattle contains two instances of the term Back. One sentence has back to the mouth, where back is used as an adverb. The first team to flip over all of their cards wins. which words have contributed to each words score as words are guessed and removed from the board, and should no longer There are also a set of 25 words openly displayed of which some belong to . Or by last name. (When the target distances are smaller, it means the candidate is better.) The following code can be found in the 'final.ipynb' file. Download the codenames.py file and save it on your Desktop. mwburke.github.io/data%20science/2021/12/12/codenames-clue-generator-version-1.html, Codenames_Clues_Semantic_Similarity.ipynb. Please For each term, count all occurrences of itself and its inflections. When a teammate touches a word, consult the key card and cover the word with the card of the corresponding color. GitHub Gist: instantly share code, notes, and snippets. This is obvious from the obscure and outdated(?) We dont have any proper nouns in our word bank. (The receivers don't see the colors on the board, obviously.). Some like the rules another way. Contribute to aurorakynkor/Codenames development by creating an account on GitHub. While there are many ways to do this, the way I chose to frame it for now is in terms of embeddings. For example, if the Code Names Bot is giving clues to blue team, the positive terms will be the blue terms, while the negative terms will be the red terms, blank terms, and death term. You can't use your clue to talk about the letters in a word or its position on the table. Top quality exact replica watches with free shipping worldwide and world class customer service. These games deserve it. Downloading pages using multiple threads or asynchronously will be much faster than using a single thread. A simple vector space model using cosine similarities can dig up human-level clues at least some of the time. assigned 8 or 9 unqiue words that they have to guess to win the game. Your clue must be about the meaning of the words. Having numerical representations of words is a start, but what we really care about is the relationships between words. Instructions for downloading a sqlite file containing Wikipedia links and page titles can be found in the SixDegreesOfWikipedia repository. I would have to develop some weighting for multiword clues If you're not sure why this is useful, don't worry. We could determine whether or not they guessed the correct amount of clues, but as far as Ive seen, online sites dont seem to have tagging for relevant words to clues. The result is that a page with 3 links to 3 different terms will have a score of 3. So you can't give knight-related clues for NIGHT. Find all the corresponding agents in your color by giving one-word one-number clues. Term page: A Wikipedia page that is related to a term. Perhaps my favorite example comes with a board whose targets were ROUND, FIGHTER, and PALM. We need to compare the vectors to begin to use them. Evaluation would be between existing versions of the clue generator, or between existing game samplesa dn the clue generator. Gland is not a valid clue for ENGLAND. We may need to scale the contributions of remaining team/opposing cards. You should experiment to find out what your group likes. Much to my surprise, that clue appeared 12th on the model's list: Perhaps more surprising is the model's top pick, ark. the most part, the computer's clues are straightforward and strongly linked to the intended word. GitHub - mwburke/codenames-clue-generator: Experimental python research into automated clue generation for the game Codenames mwburke / codenames-clue-generator Public Notifications Fork 0 Star 0 Pull requests Projects Insights main 2 branches 0 tags Code 2 commits Failed to load latest commit information. George is a valid clue, but you might want to specify whether you mean George Washington or George W. Bush. If you take away the check mark from the generation of nicknames . The game starts with all 25 cards with the word side face up. Rhymes are always valid when they refer to meanings. How will this affect our scores? And I played with the constant $c$. This is all pretty easy to express in code: I've been playing lots of Codenames with my friends and have gathered some data along the way. Crossword Clue. That sounds a little simpler. You should experiment to find out what your group likes. Greek Cheese e.g. The goal of this program is the find a one word clue that can relate two or more words while avoiding 2 or more words. My day job is mostly internally facing and so I took this on as a way to practice building product-focused data science projects. Same if GREEN were changed to LAPTOP, but not when changed to DEER. Apparently that doesn't happen too often either. Hence, create an array of the grid cells (these methods are in the "grid attempts.ipynb"); Using relative distances: create a method that will identify the border of each grid. A tag already exists with the provided branch name. Regardless of what method you use, there are several problems: A common way to generate datasets for bespoke targets is through Amazon Mechanical Turk , where you can get people to complete arbitrary tasks online for money. The field operatives then guess the codenames from the grid with these clues. Now you're all set to start using the program. Thus, scores for a round can be 0, 1, 3, or 6 points. A tag already exists with the provided branch name. How many solutions does Codenames Clue Generator have? Since we are in the global pandemic and board game nights became the new date nights for my partner and I, I have decided to create a helper to assist me in winning this game more often. More surprisingly, "bugle"an instrument that is often gold-coloredis even farther away, suggesting that the two words don't appear around each other, or even in similar contexts: We humans can use our imaginations to connect wordsand in many cases this turns out to be far more powerful than a measure of conceptual distance based on co-occurence in a large corpus. It was clear to me pretty early on that this database was going to have to be massive to capture every single Here are some samples to start: So the top row is 24-23-22-21-20, the second from the top row is 19-18-17-16-15, etc. We use historic puzzles to find the best matches for your question. About the meaning of the words obviously. ) Code Names Bot generates clues that relate one. Is related to a term up by a card, you ca n't use your clue be! Is the relationships between words for Cattle contains two instances of the initial experiment ; they all... 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