03-lxdepparser-minimalist.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 2,
  "metadata": {
    "interpreter": {
      "hash": "006d5deb8e6cdcd4312641bdf15f3bc20f0769a7305d81173599a7b40f33b4a2"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3.7.7 64-bit"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.7.7"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 2,
      "source": [
        "try:\n",
        "    import requests\n",
        "except:\n",
        "    !pip3 install requests\n",
        "    import requests\n",
        "try:\n",
        "    import pydependencygrapher\n",
        "except:\n",
        "    !apt-get install libcairo2-dev libjpeg-dev libgif-dev\n",
        "    !pip3 install pydependencygrapher\n",
        "    import pydependencygrapher\n",
        "import base64\n",
        "import IPython"
      ],
      "outputs": [],
      "metadata": {
        "id": "r2HZe4ZsEUdg",
        "outputId": "8b65b5ad-85da-4b97-faac-5e3adbe80fd6",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Using LX-DepParser to parse sentences and displaying dependency tree graphs\n",
        "This is an minimalist example notebook that illustrates how you can use the LX-DepParser web service to parse \n",
        "sentences and how to visualize dependency tree graphs in a notebook.\n",
        "\n",
        "**Before you run this example**, replace `access_key_goes_here` by your webservice access key, below:"
      ],
      "metadata": {}
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "source": [
        "request = requests.post(\n",
        "    url='https://portulanclarin.net/workbench/lx-depparser/api/',\n",
        "    json={\n",
        "        'method': 'parse',\n",
        "        'jsonrpc': '2.0',\n",
        "        'id': 0,\n",
        "        'params': {\n",
        "            'text': 'A Maria tem razão.',\n",
        "            'format': 'CONLL',\n",
        "            'tagset': 'CINTIL',\n",
        "            'key': 'access_key_goes_here'\n",
        "        },\n",
        "    },\n",
        ")\n",
        "conll = request.json()['result']\n",
        "print(conll)\n",
        "sentence = [\n",
        "    pydependencygrapher.Token(*line.split(\"\\t\"))\n",
        "    for line in conll.splitlines(keepends=False)\n",
        "    if line and not line.startswith(\"#\")\n",
        "]\n",
        "graph = pydependencygrapher.DependencyGraph(sentence)\n",
        "graph.draw()\n",
        "b64png = graph.save_buffer()\n",
        "IPython.display.display(IPython.display.Image(data=base64.b64decode(b64png)))\n"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "#id\tform\tlemma\tcpos\tpos\tfeat\thead\tdeprel\tphead\tpdeprel\n",
            "1\tA\t-\tDA\tDA\tfs\t2\tSP\t2\tSP\n",
            "2\tMaria\t-\tPNM\tPNM\t-\t3\tSJ\t3\tSJ\n",
            "3\ttem\tTER\tV\tV\tpi-3s\t0\tROOT\t0\tROOT\n",
            "4\trazão\tRAZÃO\tCN\tCN\tgs\t3\tDO\t3\tDO\n",
            "5\t.\t-\tPNT\tPNT\t-\t3\tPUNCT\t3\tPUNCT\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        }
      ],
      "metadata": {
        "id": "mDiAmtPcMzGD",
        "outputId": "3b7494d0-1f81-4196-94f6-b24651e6d0ad",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        }
      }
    }
  ]
}