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  "fetched_at": "2026-10-20T04:49:27Z",
  "source_url": "https://www.kaggle.com/competitions/bbm497-assignment2/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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      "content": "METU-Treebank is a Turkish dataset that is built from manually collected newspapers, journal issues, and books. The corpus involves 5659 sentences. You will take %70 of the data as training (for Task 1) and rest of it as test data (for Task 2 and Task 3). In other words, the \frst 3960 lines will be used for training and the last 1699 lines will be used for testing.",
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      "name": "Description",
      "content": "Part-of-speech (PoS) tagging is the task of assigning syntactic categories to words in\na given sentence according to their syntactic roles in that context, such as a noun,\nadjective, verb etc. A PoS tagger takes a sentence as input and generates a word/tag\ntuples as output:\n\n**Example:** An example tagging:\n\nBunu zaten biliyordum. (I have already known that.)\n\nBunu/**Pron** zaten/**Adv** biliyordum/**Verb** ./**Punc**\n\nIn this assignment, you will implement a PoS tagger using Hidden Markov Models\n(HMMs). Therefore, you will practice HMMs and Viterbi algorithm in this assignment.\n\n## CHALLENGE\n\nYou can improve your PoS tagger more to compete with other participants in the class. The accuracy of your PoS tagger is the main criteria to be compared with others. The participants in the class that obtain a higher tagging accuracy will deserve more points. ",
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    {
      "name": "Evaluation",
      "content": "## Evaluation\n\nYour program will compute the Accuracy of the PoS tagger.\n\n<p>The evaluation metric for this competition is <a href=\"https://www.kaggle.com/wiki/accuracy\"> Accuracy</a>. The accuracy is the ratio\nof the correctly assigned tags to the total number of words in the test data:</p>\n<p>\\[ A(W) =  \\frac{\\#of\\_correct\\_found\\_tags}{\\#of\\_total\\_words}\\]</p>\n\n<h2>Submission Format</h2>\n<p> Submission file should contain <strong>sentences with pos tag sequences</strong>.\n\n<pre>Bunu/Pron zaten/Adv biliyordum/Verb ./Punc<br></pre>",
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