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      "source": [
        "<a href=\"https://colab.research.google.com/github/TurkuNLP/Deep_Learning_in_LangTech_course/blob/master/dl_in_hlt_exercise1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "# Exercise task 1: Subword tokenization\n",
        "\n",
        "Let's use these models:\n",
        "\n",
        "Finnish:\n",
        "\n",
        "* Monolingual model: [TurkuNLP/bert-base-finnish-cased-v1](https://huggingface.co/TurkuNLP/bert-base-finnish-cased-v1) (Finnish)\n",
        "* Multilingual model: [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) (104 languages including Finnish)\n",
        "\n",
        "English:\n",
        "\n",
        "* Monolingual model: [bert-base-cased](https://huggingface.co/bert-base-cased) (English)\n",
        "* Multilingual model: [bert-base-multilingual-cased](https://huggingface.co/bert-base-multilingual-cased) (104 languages including English)"
      ],
      "metadata": {
        "id": "FHfv51yq0xNC"
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    },
    {
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      "source": [
        "# Install the required Python packages using pip:\n",
        "# - transformers is a popular deep learning package\n",
        "!pip3 install -q transformers"
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          "output_type": "stream",
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          "text": [
            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_token.py:89: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
            "You will be able to reuse this secret in all of your notebooks.\n",
            "Please note that authentication is recommended but still optional to access public models or datasets.\n",
            "  warnings.warn(\n"
          ]
        },
        {
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              "tokenizer_config.json:   0%|          | 0.00/56.0 [00:00<?, ?B/s]"
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        {
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          "text": [
            "/usr/local/lib/python3.10/dist-packages/transformers/tokenization_utils_base.py:1601: FutureWarning: `clean_up_tokenization_spaces` was not set. It will be set to `True` by default. This behavior will be depracted in transformers v4.45, and will be then set to `False` by default. For more details check this issue: https://github.com/huggingface/transformers/issues/31884\n",
            "  warnings.warn(\n"
          ]
        },
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          "text": [
            "<class 'transformers.models.bert.tokenization_bert_fast.BertTokenizerFast'>\n"
          ]
        }
      ],
      "source": [
        "from transformers import AutoTokenizer\n",
        "from pprint import PrettyPrinter\n",
        "\n",
        "pprint = PrettyPrinter(compact=True).pprint\n",
        "\n",
        "# initialize the models\n",
        "fi_mono = AutoTokenizer.from_pretrained(\"TurkuNLP/bert-base-finnish-cased-v1\")\n",
        "en_mono = AutoTokenizer.from_pretrained(\"bert-base-cased\")\n",
        "multi = AutoTokenizer.from_pretrained(\"bert-base-multilingual-cased\") # shared multilingual tokenizer\n",
        "\n",
        "# there are several different tokenization implementations available (BertTokenizer, RobertaTokenizer, GPT2Tokenizer...),\n",
        "# AutoTokenizer automatically selects the correct implementation based on the model name (e.g. \"bert-base-cased\" is a BertTokenizerFast)\n",
        "print(en_mono.__class__)\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Vocabulary size\n",
        "\n",
        "print(\"fi_mono:\", fi_mono.vocab_size)\n",
        "print(\"en_mono:\", en_mono.vocab_size)\n",
        "print(\"multi:\", multi.vocab_size)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E7VsYKmoCTk8",
        "outputId": "18813e43-620e-4747-b316-03e959c1e20e"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "fi_mono: 50105\n",
            "en_mono: 28996\n",
            "multi: 119547\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "* Vocabulary size is bigger in the multilingual model\n",
        "* ...however, not 100 x bigger, so one could assume a single language is not represented as well as in the monolingual model"
      ],
      "metadata": {
        "id": "MjaQxH-f1o-R"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "fi_text = \"\"\"\n",
        "Tilastollinen kielimalli on sanajonon sanojen todennäköisyysjakauma\n",
        "tai sellainen todennäköisyysfunktio, joka tuottaa jakauman.\n",
        "Kielimalli voidaan määritellä myös sanan osille, kuten morfeemeille.\n",
        "Todennäköisyyksien avulla kielimallit osaavat muun muassa ennustaa,\n",
        "miten jonkin lauseen tulisi jatkua, vastata kysymyksiin, tai muodostaa\n",
        "kehotteen avulla pitkiäkin tekstejä kuten keskusteluja, runoja, koodeja\n",
        "tai artikkeleita.\n",
        "\"\"\"\n",
        "\n",
        "en_text = \"\"\"\n",
        "The statistical language model is the probability distribution of words\n",
        "in a word sequence or a probability function that produces a distribution.\n",
        "A language model can also be defined for parts of a word, such as morphemes.\n",
        "Probabilistic language models can be used to predict, among other things,\n",
        "how a sentence should continue, answer questions, or from the given prompt\n",
        "formulate long texts such as conversations, poems, code, or articles.\n",
        "\"\"\"\n",
        "\n",
        "def visualize_tokenizer(tokenizer, text):\n",
        "  tokenized = tokenizer.tokenize(text) # <--- this line does the tokenization (text in, list of subwords out)\n",
        "  pprint(\" \".join(tokenized))\n",
        "  print(\"Number of subwords:\", len(tokenized), \"\\n\")\n",
        "\n",
        "# English\n",
        "\n",
        "print(\"English monolingual:\")\n",
        "visualize_tokenizer(en_mono, en_text)\n",
        "print(\"English multilingual:\")\n",
        "visualize_tokenizer(multi, en_text)\n",
        "\n",
        "\n",
        "# Finnish\n",
        "\n",
        "print(\"Finnish monolingual:\")\n",
        "visualize_tokenizer(fi_mono, fi_text)\n",
        "print(\"Finnish multilingual:\")\n",
        "visualize_tokenizer(multi, fi_text)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "UnUgWC33AB0a",
        "outputId": "1f53e365-6776-43b5-cda1-038b2ff70170"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "English monolingual:\n",
            "('The statistical language model is the probability distribution of words in a '\n",
            " 'word sequence or a probability function that produces a distribution . A '\n",
            " 'language model can also be defined for parts of a word , such as m ##or '\n",
            " '##phe ##mes . Pro ##ba ##bil ##istic language models can be used to predict '\n",
            " ', among other things , how a sentence should continue , answer questions , '\n",
            " 'or from the given pro ##mpt formula ##te long texts such as conversations , '\n",
            " 'poems , code , or articles .')\n",
            "Number of subwords: 89 \n",
            "\n",
            "English multilingual:\n",
            "('The statistical language model is the probability distribution of words in a '\n",
            " 'word sequence or a probability function that produces a distribution . A '\n",
            " 'language model can also be defined for parts of a word , such as mor ##phe '\n",
            " '##mes . Pro ##babil ##istic language models can be used to pred ##ict , '\n",
            " 'among other things , how a sentence should continue , answer questions , or '\n",
            " 'from the given pro ##mpt formula ##te long texts such as conversation ##s , '\n",
            " 'poems , code , or articles .')\n",
            "Number of subwords: 89 \n",
            "\n",
            "Finnish monolingual:\n",
            "('Tilasto ##llinen kieli ##malli on sana ##jon ##on sanojen todennäköisyys '\n",
            " '##jaka ##uma tai sellainen todennäköisyys ##fun ##ktio , joka tuottaa jaka '\n",
            " '##uman . Kieli ##malli voidaan määritellä myös sanan osi ##lle , kuten mor '\n",
            " '##fe ##eme ##ille . Todennäkö ##isyyksien avulla kieli ##mallit osaavat muun '\n",
            " 'muassa ennustaa , miten jonkin lauseen tulisi jatkua , vastata kysymyksiin , '\n",
            " 'tai muodostaa keho ##tteen avulla pitkiä ##kin tekstejä kuten keskusteluja , '\n",
            " 'runoja , kood ##eja tai artikkeleita .')\n",
            "Number of subwords: 75 \n",
            "\n",
            "Finnish multilingual:\n",
            "('Til ##asto ##llinen ki ##eli ##mal ##li on sana ##jon ##on san ##ojen to '\n",
            " '##den ##nä ##k ##ö ##isy ##ys ##jaka ##uma tai sell ##ainen to ##den ##nä '\n",
            " '##k ##ö ##isy ##ys ##fu ##nkt ##io , joka tuo ##ttaa jak ##au ##man . Kiel '\n",
            " '##ima ##lli voidaan m ##ää ##rite ##llä myös sana ##n osi ##lle , kuten mor '\n",
            " '##fe ##eme ##ille . Tode ##nn ##ä ##k ##ö ##isy ##yk ##sien avulla ki ##eli '\n",
            " '##mal ##lit osaa ##vat muun muassa enn ##usta ##a , mit ##en jo ##nkin lau '\n",
            " '##seen tuli ##si ja ##tku ##a , vasta ##ta ky ##sy ##my ##ksi ##in , tai mu '\n",
            " '##odo ##staa ke ##hot ##teen avulla pit ##kiä ##kin tekst ##ej ##ä kuten '\n",
            " 'keskus ##tel ##uja , run ##oja , ko ##ode ##ja tai arti ##kkel ##eita .')\n",
            "Number of subwords: 134 \n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "*   English results very similar in both monolingual and multilingual tokenizers\n",
        "  - Multilingual vocabulary includes many English words\n",
        "  - Tokenizer was trained on a dataset which includes a lot of English? [Yes!](https://github.com/google-research/bert/blob/master/multilingual.md)\n",
        "  - If English reserves much space from the vocabulary, how about other 100+ languages?\n",
        "\n",
        "*   Finnish results look completely different!\n",
        "  - Monolingual vocabulary includes many Finnish words, but multilingual does not and therefore the words are divided into smaller subwords\n",
        "  - Finnish just one of the small languages? [Finnish about #30 out of 100+ languages](https://meta.wikimedia.org/wiki/List_of_Wikipedias)\n",
        "\n"
      ],
      "metadata": {
        "id": "xfkb3TK73jhU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# ChatGPT tokenization\n",
        "\n",
        "* https://platform.openai.com/tokenizer\n",
        "\n",
        "![image.png](data:image/png;base64,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)\n",
        "\n",
        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)"
      ],
      "metadata": {
        "id": "UCV-e2ryztwg"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "*   About same amount of characters but Finnish has double the amount of tokens compared to English\n",
        "  - Still the model is very fluent in understanding or generating Finnish, so this does not seem to be a problem in model performance (accuracy)!\n",
        "* However, it has several other negative outcomes:\n",
        "  - Sequence length becomes longer --> more computation required, not able to include as much text to the context window (09/2024 GPT-4o has 128K context window)\n",
        "  - Pricing is by number of tokens (e.g. 09/2024 GPT-4o costs \\$5.00/1M input tokens + \\$15.00/1M output tokens) --> Finnish more expensive to run!"
      ],
      "metadata": {
        "id": "n0dj7-Lb0SyN"
      }
    }
  ]
}