Create_SRL_semCHILDES.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://colab.research.google.com/github//jayralencar/pictoBERT/blob/main/Create_SRL_semCHILDES.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
        "  </td>\n",
        "  <td>\n",
        "    <a target=\"_blank\" href=\"https://github.com/jayralencar/pictoBERT/blob/main/Create_SRL_semCHILDES.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View source on GitHub</a>\n",
        "  </td>\n",
        "</table>"
      ],
      "metadata": {
        "id": "zflJKB0cVg9Y"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# PictoBERT: Transformers for Pictogram Prediction (Eng-UK semCHILDES creation)\n",
        "\n",
        "This notebook presents the scripts and procedures for creating the UK part of SemCHILDES as described in section 4.1.1 of the paper. \n",
        "\n",
        "We use the created dataset for fine-tuning PictoBERT for predicting pictograms using a pre-defined structure based on the Colourful Semantics structures.\n",
        "\n",
        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)\n",
        "\n",
        "The procedures included using Word-sense disambiguation and semantic role labeling. We describe all the steps below.\n",
        "\n"
      ],
      "metadata": {
        "id": "tZqbaS0iXgUj"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Install Dependencies"
      ],
      "metadata": {
        "id": "gsKkK94CYWVg"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0nVnsm8UMHft",
        "outputId": "7966698b-a2d5-4d3b-9a14-45bca36fd5c0"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Collecting git+https://github.com/rodriguesfas/PySupWSDPocket.git\n",
            "  Cloning https://github.com/rodriguesfas/PySupWSDPocket.git to /tmp/pip-req-build-swwohfsh\n",
            "  Running command git clone -q https://github.com/rodriguesfas/PySupWSDPocket.git /tmp/pip-req-build-swwohfsh\n"
          ]
        }
      ],
      "source": [
        "!pip install git+https://github.com/rodriguesfas/PySupWSDPocket.git"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install http://www.jbox.dk/sling/sling-3.0.0-py3-none-linux_x86_64.whl"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dNEQY3WdAcOa",
        "outputId": "5c92036b-c644-43f4-ecf9-d41833c8a737"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting sling==3.0.0\n",
            "  Downloading http://www.jbox.dk/sling/sling-3.0.0-py3-none-linux_x86_64.whl (6.0 MB)\n",
            "\u001b[K     |████████████████████████████████| 6.0 MB 488 kB/s \n",
            "\u001b[?25hInstalling collected packages: sling\n",
            "Successfully installed sling-3.0.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Download data"
      ],
      "metadata": {
        "id": "pFfSz6UjYZL-"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Download SupWSD model"
      ],
      "metadata": {
        "id": "ajVVBPa1YrDs"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tXj3cQKg4ZnR",
        "outputId": "35e68d68-f8b7-43eb-9ee2-b96d33198459"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "--2022-03-23 17:49:31--  http://jayr.clubedosgeeks.com.br/pictobert/en.zip\n",
            "Resolving jayr.clubedosgeeks.com.br (jayr.clubedosgeeks.com.br)... 192.185.214.132\n",
            "Connecting to jayr.clubedosgeeks.com.br (jayr.clubedosgeeks.com.br)|192.185.214.132|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1797035229 (1.7G) [application/zip]\n",
            "Saving to: ‘pysupwsdpocket_models/en.zip’\n",
            "\n",
            "en.zip              100%[===================>]   1.67G  13.8MB/s    in 2m 1s   \n",
            "\n",
            "2022-03-23 17:51:33 (14.1 MB/s) - ‘pysupwsdpocket_models/en.zip’ saved [1797035229/1797035229]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!mkdir pysupwsdpocket_models\n",
        "!wget -P pysupwsdpocket_models http://jayr.clubedosgeeks.com.br/pictobert/en.zip"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Download CHILDES Eng-UK corpora\n",
        "\n",
        "We download all the Eng-UK corpora from [https://childes.talkbank.org/data-xml/Eng-UK/](https://childes.talkbank.org/data-xml/Eng-UK/)"
      ],
      "metadata": {
        "id": "8NZqDmjwYurt"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8h8LyoNvM72k",
        "outputId": "166fa3ec-2e2c-4b1c-df2c-371bb9e01aa3"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "mkdir: cannot create directory ‘corpora’: File exists\n",
            "--2022-03-23 17:43:40--  https://childes.talkbank.org/data-xml/Eng-UK/Belfast.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 6124785 (5.8M) [application/zip]\n",
            "Saving to: ‘corpora/Belfast.zip’\n",
            "\n",
            "corpora/Belfast.zip 100%[===================>]   5.84M  3.79MB/s    in 1.5s    \n",
            "\n",
            "2022-03-23 17:43:43 (3.79 MB/s) - ‘corpora/Belfast.zip’ saved [6124785/6124785]\n",
            "\n",
            "--2022-03-23 17:43:43--  https://childes.talkbank.org/data-xml/Eng-UK/Edinburgh.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 2581690 (2.5M) [application/zip]\n",
            "Saving to: ‘corpora/Edinburgh.zip’\n",
            "\n",
            "corpora/Edinburgh.z 100%[===================>]   2.46M  1.80MB/s    in 1.4s    \n",
            "\n",
            "2022-03-23 17:43:45 (1.80 MB/s) - ‘corpora/Edinburgh.zip’ saved [2581690/2581690]\n",
            "\n",
            "--2022-03-23 17:43:45--  https://childes.talkbank.org/data-xml/Eng-UK/Fletcher.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 2449002 (2.3M) [application/zip]\n",
            "Saving to: ‘corpora/Fletcher.zip’\n",
            "\n",
            "corpora/Fletcher.zi 100%[===================>]   2.33M  1.74MB/s    in 1.3s    \n",
            "\n",
            "2022-03-23 17:43:47 (1.74 MB/s) - ‘corpora/Fletcher.zip’ saved [2449002/2449002]\n",
            "\n",
            "--2022-03-23 17:43:48--  https://childes.talkbank.org/data-xml/Eng-UK/Forrester.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 561522 (548K) [application/zip]\n",
            "Saving to: ‘corpora/Forrester.zip’\n",
            "\n",
            "corpora/Forrester.z 100%[===================>] 548.36K   575KB/s    in 1.0s    \n",
            "\n",
            "2022-03-23 17:43:49 (575 KB/s) - ‘corpora/Forrester.zip’ saved [561522/561522]\n",
            "\n",
            "--2022-03-23 17:43:49--  https://childes.talkbank.org/data-xml/Eng-UK/Gathburn.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1286930 (1.2M) [application/zip]\n",
            "Saving to: ‘corpora/Gathburn.zip’\n",
            "\n",
            "corpora/Gathburn.zi 100%[===================>]   1.23M  1.07MB/s    in 1.2s    \n",
            "\n",
            "2022-03-23 17:43:51 (1.07 MB/s) - ‘corpora/Gathburn.zip’ saved [1286930/1286930]\n",
            "\n",
            "--2022-03-23 17:43:52--  https://childes.talkbank.org/data-xml/Eng-UK/Howe.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 680364 (664K) [application/zip]\n",
            "Saving to: ‘corpora/Howe.zip’\n",
            "\n",
            "corpora/Howe.zip    100%[===================>] 664.42K   694KB/s    in 1.0s    \n",
            "\n",
            "2022-03-23 17:43:53 (694 KB/s) - ‘corpora/Howe.zip’ saved [680364/680364]\n",
            "\n",
            "--2022-03-23 17:43:54--  https://childes.talkbank.org/data-xml/Eng-UK/KellyQuigley.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 169124 (165K) [application/zip]\n",
            "Saving to: ‘corpora/KellyQuigley.zip’\n",
            "\n",
            "corpora/KellyQuigle 100%[===================>] 165.16K   287KB/s    in 0.6s    \n",
            "\n",
            "2022-03-23 17:43:55 (287 KB/s) - ‘corpora/KellyQuigley.zip’ saved [169124/169124]\n",
            "\n",
            "--2022-03-23 17:43:55--  https://childes.talkbank.org/data-xml/Eng-UK/Korman.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 535499 (523K) [application/zip]\n",
            "Saving to: ‘corpora/Korman.zip’\n",
            "\n",
            "corpora/Korman.zip  100%[===================>] 522.95K   545KB/s    in 1.0s    \n",
            "\n",
            "2022-03-23 17:43:57 (545 KB/s) - ‘corpora/Korman.zip’ saved [535499/535499]\n",
            "\n",
            "--2022-03-23 17:43:57--  https://childes.talkbank.org/data-xml/Eng-UK/Lara.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 6524866 (6.2M) [application/zip]\n",
            "Saving to: ‘corpora/Lara.zip’\n",
            "\n",
            "corpora/Lara.zip    100%[===================>]   6.22M  3.61MB/s    in 1.7s    \n",
            "\n",
            "2022-03-23 17:44:00 (3.61 MB/s) - ‘corpora/Lara.zip’ saved [6524866/6524866]\n",
            "\n",
            "--2022-03-23 17:44:00--  https://childes.talkbank.org/data-xml/Eng-UK/MPI-EVA-Manchester.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 58137632 (55M) [application/zip]\n",
            "Saving to: ‘corpora/MPI-EVA-Manchester.zip’\n",
            "\n",
            "corpora/MPI-EVA-Man 100%[===================>]  55.44M  9.11MB/s    in 6.9s    \n",
            "\n",
            "2022-03-23 17:44:07 (8.04 MB/s) - ‘corpora/MPI-EVA-Manchester.zip’ saved [58137632/58137632]\n",
            "\n",
            "--2022-03-23 17:44:08--  https://childes.talkbank.org/data-xml/Eng-UK/Manchester.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 22837688 (22M) [application/zip]\n",
            "Saving to: ‘corpora/Manchester.zip’\n",
            "\n",
            "corpora/Manchester. 100%[===================>]  21.78M  6.67MB/s    in 3.3s    \n",
            "\n",
            "2022-03-23 17:44:12 (6.67 MB/s) - ‘corpora/Manchester.zip’ saved [22837688/22837688]\n",
            "\n",
            "--2022-03-23 17:44:12--  https://childes.talkbank.org/data-xml/Eng-UK/Nuffield.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 487490 (476K) [application/zip]\n",
            "Saving to: ‘corpora/Nuffield.zip’\n",
            "\n",
            "corpora/Nuffield.zi 100%[===================>] 476.06K   496KB/s    in 1.0s    \n",
            "\n",
            "2022-03-23 17:44:14 (496 KB/s) - ‘corpora/Nuffield.zip’ saved [487490/487490]\n",
            "\n",
            "--2022-03-23 17:44:14--  https://childes.talkbank.org/data-xml/Eng-UK/OdiaMAIN.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 24686 (24K) [application/zip]\n",
            "Saving to: ‘corpora/OdiaMAIN.zip’\n",
            "\n",
            "corpora/OdiaMAIN.zi 100%[===================>]  24.11K   126KB/s    in 0.2s    \n",
            "\n",
            "2022-03-23 17:44:15 (126 KB/s) - ‘corpora/OdiaMAIN.zip’ saved [24686/24686]\n",
            "\n",
            "--2022-03-23 17:44:15--  https://childes.talkbank.org/data-xml/Eng-UK/Sekali.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 65819 (64K) [application/zip]\n",
            "Saving to: ‘corpora/Sekali.zip’\n",
            "\n",
            "corpora/Sekali.zip  100%[===================>]  64.28K   168KB/s    in 0.4s    \n",
            "\n",
            "2022-03-23 17:44:16 (168 KB/s) - ‘corpora/Sekali.zip’ saved [65819/65819]\n",
            "\n",
            "--2022-03-23 17:44:17--  https://childes.talkbank.org/data-xml/Eng-UK/Thomas.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 39155295 (37M) [application/zip]\n",
            "Saving to: ‘corpora/Thomas.zip’\n",
            "\n",
            "corpora/Thomas.zip  100%[===================>]  37.34M  9.77MB/s    in 4.2s    \n",
            "\n",
            "2022-03-23 17:44:22 (8.89 MB/s) - ‘corpora/Thomas.zip’ saved [39155295/39155295]\n",
            "\n",
            "--2022-03-23 17:44:22--  https://childes.talkbank.org/data-xml/Eng-UK/Tommerdahl.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 1534005 (1.5M) [application/zip]\n",
            "Saving to: ‘corpora/Tommerdahl.zip’\n",
            "\n",
            "corpora/Tommerdahl. 100%[===================>]   1.46M  1.27MB/s    in 1.2s    \n",
            "\n",
            "2022-03-23 17:44:24 (1.27 MB/s) - ‘corpora/Tommerdahl.zip’ saved [1534005/1534005]\n",
            "\n",
            "--2022-03-23 17:44:24--  https://childes.talkbank.org/data-xml/Eng-UK/Wells.zip\n",
            "Resolving childes.talkbank.org (childes.talkbank.org)... 128.2.24.68\n",
            "Connecting to childes.talkbank.org (childes.talkbank.org)|128.2.24.68|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 4259478 (4.1M) [application/zip]\n",
            "Saving to: ‘corpora/Wells.zip’\n",
            "\n",
            "corpora/Wells.zip   100%[===================>]   4.06M  2.65MB/s    in 1.5s    \n",
            "\n",
            "2022-03-23 17:44:26 (2.65 MB/s) - ‘corpora/Wells.zip’ saved [4259478/4259478]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!mkdir corpora\n",
        "corpora_files = [\"Belfast.zip\",\"Edinburgh.zip\",\"Fletcher.zip\",\"Forrester.zip\",\"Gathburn.zip\",\"Howe.zip\",\"KellyQuigley.zip\",\"Korman.zip\",\"Lara.zip\",\"MPI-EVA-Manchester.zip\",\"Manchester.zip\",\"Nuffield.zip\",\"OdiaMAIN.zip\",\"Sekali.zip\",\"Thomas.zip\",\"Tommerdahl.zip\",\"Wells.zip\"]\n",
        "for corpus_file in corpora_files:\n",
        "    !wget https://childes.talkbank.org/data-xml/Eng-UK/$corpus_file -O corpora/$corpus_file"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lzcOzVlaNaKS",
        "outputId": "01688a1f-3a81-466d-be29-61c1e5176d33"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Archive:  corpora/Belfast.zip\n",
            "replace corpora/Belfast/Barbara/020912.xml? [y]es, [n]o, [A]ll, [N]one, [r]ename: N\n",
            "Archive:  corpora/Edinburgh.zip\n",
            "replace corpora/Edinburgh/john0903.xml? [y]es, [n]o, [A]ll, [N]one, [r]ename: N\n",
            "Archive:  corpora/Fletcher.zip\n",
            "replace corpora/Fletcher/5/hnclak.xml? [y]es, [n]o, [A]ll, [N]one, [r]ename: Archive:  corpora/Forrester.zip\n",
            "replace corpora/Forrester/030228.xml? [y]es, [n]o, [A]ll, [N]one, [r]ename: Archive:  corpora/Gathburn.zip\n",
            "replace corpora/Gathburn/41.xml? [y]es, [n]o, [A]ll, [N]one, [r]ename: Archive:  corpora/Howe.zip\n",
            "replace corpora/Howe/kevin1.xml? [y]es, [n]o, [A]ll, [N]one, [r]ename: "
          ]
        }
      ],
      "source": [
        "for corpus_file in corpora_files:\n",
        "    !unzip corpora/$corpus_file -d corpora"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Download VerbAtlas propbank mappings file\n",
        "\n",
        "As described in the paper, we used InVeRo for predicate disambiguation to identify the sentence’s predicates and its relative semantic frames.\n",
        "\n",
        "You can visit [https://verbatlas.org/download](https://verbatlas.org/download) and download all the files. In this notebook, we download only the one we use."
      ],
      "metadata": {
        "id": "NKY2x5HQaIzd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget http://jayr.clubedosgeeks.com.br/pictobert/pb2va.json"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kL17FsV9BJOh",
        "outputId": "3187c5de-2d2f-44cd-dfbf-d5f54304b9a3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-03-23 18:23:13--  http://jayr.clubedosgeeks.com.br/pictobert/pb2va.json\n",
            "Resolving jayr.clubedosgeeks.com.br (jayr.clubedosgeeks.com.br)... 192.185.214.132\n",
            "Connecting to jayr.clubedosgeeks.com.br (jayr.clubedosgeeks.com.br)|192.185.214.132|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 464422 (454K) [application/json]\n",
            "Saving to: ‘pb2va.json’\n",
            "\n",
            "pb2va.json          100%[===================>] 453.54K   468KB/s    in 1.0s    \n",
            "\n",
            "2022-03-23 18:23:15 (468 KB/s) - ‘pb2va.json’ saved [464422/464422]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Download SLING model\n",
        "\n",
        "As described in the paper, we used SLING for identifying\n",
        "and labeling the predicate-argument structure for each frame."
      ],
      "metadata": {
        "id": "se29BepPZ_gX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!wget http://jayr.clubedosgeeks.com.br/pictobert/caspar.flow"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1MeTlokf_5ck",
        "outputId": "f38e3af8-2c96-4b0e-bdcb-5c81b56f5bed"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2022-03-23 18:19:21--  http://jayr.clubedosgeeks.com.br/pictobert/caspar.flow\n",
            "Resolving jayr.clubedosgeeks.com.br (jayr.clubedosgeeks.com.br)... 192.185.214.132\n",
            "Connecting to jayr.clubedosgeeks.com.br (jayr.clubedosgeeks.com.br)|192.185.214.132|:80... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 9212285 (8.8M)\n",
            "Saving to: ‘caspar.flow’\n",
            "\n",
            "caspar.flow         100%[===================>]   8.79M  4.48MB/s    in 2.0s    \n",
            "\n",
            "2022-03-23 18:19:24 (4.48 MB/s) - ‘caspar.flow’ saved [9212285/9212285]\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Data extraction\n",
        "\n",
        "The data extraction consists on extracting all sentences from the Eng-UK part of CHILDES database."
      ],
      "metadata": {
        "id": "HvmcuPWPY7tU"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "D8Pi_GGkNowL"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "from glob import glob\n",
        "PATH = \"./corpora\"\n",
        "all_files = [y for x in os.walk(PATH) for y in glob(os.path.join(x[0], '*.xml'))]\n",
        "print(len(all_files))\n",
        "print(all_files[0])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3yi7HroENyFv"
      },
      "outputs": [],
      "source": [
        "def find_participants(root):\n",
        "    participants = []\n",
        "    for participant in root.find(ns+\"Participants\"):\n",
        "      participants.append(participant.attrib)\n",
        "    return participants"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "glESL3WON0tI"
      },
      "outputs": [],
      "source": [
        "def parse_utterance(u):\n",
        "    wsd_doc = []\n",
        "    if 'text' in u:\n",
        "        doc = nlp.wsd(u['text'])\n",
        "        for token in doc.tokens():\n",
        "          wsd_doc.append(token.__dict__)\n",
        "    return wsd_doc"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qb5ItAAzN27H"
      },
      "outputs": [],
      "source": [
        "from tqdm import tqdm\n",
        "def process_utterances(root, process_faster=False):\n",
        "    utterances = []\n",
        "    for u in root.findall(ns+'u'):\n",
        "      utterance_dict = u.attrib\n",
        "      utterance_dict['original_tokens'] = []\n",
        "      tokens = []\n",
        "      for token in u.getchildren():\n",
        "        if token.tag == ns+\"w\":\n",
        "          tags = [a.tag for a in token.getchildren()]\n",
        "          if ns+\"shortening\" in tags:\n",
        "            try:\n",
        "                tokens.append(token.find(ns+'mor').find(ns+\"mw\").find(ns+\"stem\").text)\n",
        "            except:\n",
        "                pass\n",
        "          elif token.text is not None:\n",
        "            tokens.append(token.text)\n",
        "        elif token.tag == ns+\"g\": # group of words\n",
        "          token = token.find(ns+'w')\n",
        "          if token is not None:\n",
        "              tags = [a.tag for a in token.getchildren()]\n",
        "              if ns+\"shortening\" in tags:\n",
        "                try:\n",
        "                    tokens.append(token.find(ns+'mor').find(ns+\"mw\").find(ns+\"stem\").text)\n",
        "                except:\n",
        "                    pass\n",
        "              elif token.text is not None:\n",
        "                tokens.append(token.text)\n",
        "\n",
        "        elif token.tag == ns+\"t\": # punctuation\n",
        "          if token.attrib['type'] == 'p':\n",
        "            tokens.append(\".\")\n",
        "          elif token.attrib['type'] == 'q':\n",
        "            tokens.append(\"?\")\n",
        "        elif token.tag == ns+\"tagMarker\": #comma\n",
        "          tokens.append(',')\n",
        "      if len(tokens) > 1:\n",
        "        utterance_dict['text'] = \" \".join(tokens)\n",
        "      if not process_faster:\n",
        "          utterance_dict['wsd_doc'] = parse_utterance(utterance_dict)\n",
        "      utterances.append(utterance_dict)\n",
        "\n",
        "    return utterances"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "FV5TxFtB5nj7"
      },
      "source": [
        "## WSD parsing\n",
        "\n",
        "This step parses all the extracted sentences to annotate them with word-senses."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "mmGVZgb_5rsl"
      },
      "outputs": [],
      "source": [
        "from pysupwsdpocket import PySupWSDPocket\n",
        "nlp = PySupWSDPocket(lang='en', model='semcor_omsti', model_path=\"./pysupwsdpocket_models/\")    "
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir wsd"
      ],
      "metadata": {
        "id": "xE7iYtCe8EWd"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "tBBv61uC5tLr"
      },
      "outputs": [],
      "source": [
        "import os, json\n",
        "from glob import glob\n",
        "from tqdm import tqdm\n",
        "\n",
        "faster_processing = True\n",
        "if faster_processing:\n",
        "    PATH = \"only_texts/\"\n",
        "    only_texts_files = [y for x in os.walk(PATH) for y in glob(os.path.join(x[0], '*.txt'))]\n",
        "    \n",
        "    for text_file in tqdm(only_texts_files):\n",
        "      n_name = text_file.split(\"/\")[-1]\n",
        "      f = open(\"./wsd/{0}.json\".format(n_name),'w')\n",
        "\n",
        "      corpus = nlp.parse_corpus(text_file)\n",
        "      docs_json= []\n",
        "      for doc in corpus:\n",
        "        docs_json.append(doc._json_object)\n",
        "      json.dump(docs_json, f)\n",
        "\n",
        "            "
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Create database\n",
        "We opted to transform the dataset into a relational database to facilitate future queries."
      ],
      "metadata": {
        "id": "erenwcWrZkJD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import sqlite3\n",
        "\n",
        "con = sqlite3.connect(\"./childes_data.db\",isolation_level='DEFERRED')\n",
        "\n",
        "c = con.cursor()"
      ],
      "metadata": {
        "id": "VLxPXS0YHB7X"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "c.execute('''PRAGMA synchronous = OFF''')\n",
        "c.execute('''PRAGMA journal_mode = OFF''')\n",
        "\n",
        "\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"collection\" (\n",
        "\t\"id\"\tTEXT,\n",
        "\t\"name\"\tTEXT,\n",
        "\tPRIMARY KEY(\"id\")\n",
        ");''')\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"corpus\" (\n",
        "\t\"id\"\tINTEGER,\n",
        "\t\"name\"\tTEXT,\n",
        "\t\"collection_id\"\tTEXT,\n",
        "\tPRIMARY KEY(\"id\" AUTOINCREMENT)\n",
        ");''')\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"roles\" (\n",
        "\t\"id\"\tTEXT,\n",
        "\t\"structure_id\"\tINTEGER,\n",
        "\t\"token_id\"\tINTEGER,\n",
        "\t\"role\"\tTEXT,\n",
        "\tPRIMARY KEY(\"id\")\n",
        ");''')\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"structures\" (\n",
        "\t\"id\"\tTEXT,\n",
        "\t\"utterance_id\"\tINTEGER,\n",
        "\t\"predicate_id\"\tINTEGER,\n",
        "\t\"text\"\tTEXT,\n",
        "\t\"num_roles\"\tINTEGER,\n",
        "\tPRIMARY KEY(\"id\")\n",
        ");''')\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"tokens\" (\n",
        "\t\"id\"\tTEXT,\n",
        "\t\"gloss\"\tTEXT,\n",
        "\t\"sense_key\"\tTEXT,\n",
        "\t\"token_sequence\"\tINTEGER,\n",
        "\t\"is_predicate\"\tINTEGER DEFAULT 0,\n",
        "\t\"utterance_id\"\tINTEGER,\n",
        "\t\"lemma\"\tTEXT,\n",
        "\t\"pos\"\tTEXT,\n",
        "\t\"tag\"\tTEXT,\n",
        "\t\"dep\"\tTEXT,\n",
        "\t\"head\"\tINTEGER,\n",
        "\tPRIMARY KEY(\"id\")\n",
        ");''')\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"transcript\" (\n",
        "\t\"id\"\tINTEGER,\n",
        "\t\"file_path\"\tTEXT,\n",
        "\t\"corpus_id\"\tINTEGER,\n",
        "\tPRIMARY KEY(\"id\" AUTOINCREMENT)\n",
        ");''')\n",
        "c.execute('''CREATE TABLE IF NOT EXISTS \"utterance\" (\n",
        "\t\"id\"\tTEXT,\n",
        "\t\"gloss\"\tTEXT,\n",
        "\t\"speaker_code\"\tTEXT,\n",
        "\t\"speaker_name\"\tTEXT,\n",
        "\t\"corpus_id\"\tINTEGER,\n",
        "\t\"speaker_id\"\tINTEGER,\n",
        "\t\"speaker_role\"\tINTEGER,\n",
        "\t\"speaker_age\"\tREAL,\n",
        "\t\"num_tokens\"\tINTEGER,\n",
        "\t\"num_morphemes\"\tINTEGER,\n",
        "\t\"num_structures\"\tINTEGER,\n",
        "\t\"mlu_m\"\tREAL,\n",
        "\t\"mlu_w\"\tREAL,\n",
        "\tPRIMARY KEY(\"id\")\n",
        ");''')\n",
        "con.commit()\n"
      ],
      "metadata": {
        "id": "9LtW1qTl_HPh"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import uuid\n",
        "def create_utterance(data):\n",
        "  c = con.cursor()\n",
        "  utterance_id = str(uuid.uuid1())\n",
        "  c.execute(\"INSERT INTO utterance (gloss, num_tokens, num_structures,id) VALUES (?,?,?,?)\", data+(utterance_id,))\n",
        "  return utterance_id\n",
        "\n",
        "def add_tokens(tokens, utterance_id):\n",
        "  tokens_data = []\n",
        "  i = 0\n",
        "  for token in tokens:\n",
        "    sense_key = token['senses'][0]['id']\n",
        "    if sense_key == 'U':\n",
        "      sense_key = None\n",
        "    token = token['token']\n",
        "    token_id = str(uuid.uuid1())\n",
        "    token_data = (token_id,token['word'],sense_key,i,utterance_id, token['lemma'], token['pos'], token['tag'])\n",
        "    tokens_data.append(token_data)\n",
        "    i += 1\n",
        "\n",
        "  qry = \"INSERT INTO tokens (id,gloss, sense_key, token_sequence, utterance_id, lemma, pos, tag) VALUES (?,?,?,?,?,?,?,?)\"\n",
        "  try:\n",
        "    con.executemany(qry, tokens_data)\n",
        "    # con.commit()\n",
        "  except sqlite3.Error as errr:\n",
        "    print(errr)\n",
        "\n",
        "def get_token_id(utterance_id, token_sequence):\n",
        "  c = con.cursor()\n",
        "  for row in c.execute(\"SELECT id FROM tokens WHERE utterance_id = ? AND token_sequence = ?\", (utterance_id, token_sequence,)).fetchall():\n",
        "    return row[0]\n",
        "\n",
        "def add_structures(frames, utterance_id):\n",
        "  for frame in frames:\n",
        "    predicate_id = get_token_id(utterance_id,frame['predicate_index'])\n",
        "    text = frame['structure']\n",
        "    num_roles = len(frame['roles'])\n",
        "    structure_id = str(uuid.uuid1())\n",
        "    c = con.cursor()\n",
        "    c.execute(\"INSERT INTO structures (id,utterance_id, predicate_id, text, num_roles) VALUES (?,?,?,?,?)\",(structure_id,utterance_id,predicate_id,text,num_roles))\n",
        "    # structure_id = c.lastrowid\n",
        "    c.close()\n",
        "    # con.commit()\n",
        "    # else:\n",
        "      # structure_id = ts[0][0]\n",
        "    add_roles(frame['roles'], structure_id, utterance_id)\n",
        "\n",
        "def add_roles(roles, structure_id,utterance_id):\n",
        "  data = []\n",
        "  for role in roles:\n",
        "    role_id = str(uuid.uuid1())\n",
        "    token_id = get_token_id(utterance_id, role['index'])\n",
        "    data.append((role_id,structure_id,token_id, role['role']))\n",
        "    \n",
        "  con.executemany(\"INSERT INTO roles (id,structure_id,token_id, role) VALUES (?,?,?,?)\",data)"
      ],
      "metadata": {
        "id": "NffkM75K_4d-"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Semantic Role Labeling\n",
        "\n",
        "At this step, we extract the semantic role relationships from the sentences and insert them into the database."
      ],
      "metadata": {
        "id": "m0kc1ozNaQmh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import sling\n",
        "\n",
        "commons = sling.Store()\n",
        "\n",
        "schema = sling.DocumentSchema(commons)\n",
        "n_name = commons['name']\n",
        "n_pos = commons['pos']\n",
        "n_isa = commons['isa']\n",
        "n_head = commons['sup_token']\n",
        "n_ud_id = commons['id']\n",
        "n_lemma = commons['lemma']\n",
        "synset = commons['synset']\n",
        "predicate = commons['/pb/predicate']\n",
        "thing = commons['thing']\n",
        "\n",
        "parser = sling.Parser(\"./caspar.flow\",commons)"
      ],
      "metadata": {
        "id": "OpcfXmIYAg1r"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import json\n",
        "modifiers = {\n",
        "    \"COM\": \"Comitative\",\n",
        "    \"LOC\": \"Location\",\n",
        "    \"DIR\": \"Direction\",\n",
        "    \"GOL\": \"Goal\",\n",
        "    \"MNR\": \"Manner\",\n",
        "    \"TMP\": \"Time\",\n",
        "    \"EXT\": \"Extent\",\n",
        "    \"REC\": \"Reciprocal\",\n",
        "    \"PRD\": \"SecondPredicate\",\n",
        "    \"CAU\": \"Cause\",\n",
        "    \"DIS\": \"DiscourseMark\",\n",
        "    \"MOD\": \"Modal\",\n",
        "    \"NEG\": \"Negation\",\n",
        "    \"DSP\": \"DirectSpeech\",\n",
        "    \"ADV\": \"Adverb\",\n",
        "    \"LVB\": \"LightVerb\",\n",
        "    \"CXN\": \"Construction\",\n",
        "    \"PRP\": \"Purpose\",\n",
        "    \"ADJ\": \"Adjective\"\n",
        "}\n",
        "semlink = {\n",
        "    \"A0\": \"Agent\",\n",
        "    \"A1\": \"Theme\"\n",
        "\n",
        "}\n",
        "\n",
        "pb_va = json.loads(open(\"./pb2va.json\",'r').read())\n",
        "def get_mapping(frame_id):\n",
        "  if frame_id in pb_va:\n",
        "    return pb_va[frame_id]\n",
        "  return None\n"
      ],
      "metadata": {
        "id": "ar0QugA7BQo5"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from glob import glob\n",
        "json_files = only_texts_files = [y for x in os.walk('./wsd') for y in glob(os.path.join(x[0], '*.json'))]"
      ],
      "metadata": {
        "id": "JHCsEh2mAqrS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import requests,re\n",
        "from tqdm import tqdm\n",
        "for json_file in json_files:\n",
        "  docs = json.load(open(json_file,'r'))\n",
        "  sentences = []\n",
        "  for doc in tqdm(docs):\n",
        "    text = doc['raw_text']\n",
        "\n",
        "    sup_tokens = [t['token']['word'] for t in doc['tokens']]\n",
        "    send_text = \" \".join(sup_tokens)\n",
        "\n",
        "    # print(send_text)\n",
        "\n",
        "    try:\n",
        "      r = requests.get(\"http://verbatlas.org/api/demo?sentence=\"+send_text)\n",
        "    except:\n",
        "      continue\n",
        "    \n",
        "    if r.status_code != 200:\n",
        "      continue\n",
        "\n",
        "    results = r.json()\n",
        "\n",
        "    senses = []\n",
        "    sling_doc = sling.Document(None, commons, schema)\n",
        "    for token in doc['tokens']:\n",
        "      sling_doc.add_token(token['token']['word'])\n",
        "      if (token['senses'][0]['id']) == 'U':\n",
        "          senses.append(token['token']['lemma'])\n",
        "      else:    \n",
        "          senses.append(token['senses'][0]['id'])\n",
        "    sling_doc.update()\n",
        "    parser.parse(sling_doc)\n",
        "    \n",
        "    for mention in sling_doc.mentions:\n",
        "      for e in mention.evokes():\n",
        "        e.name = sling_doc.phrase(mention.begin, mention.end)\n",
        "        k = senses[mention.begin]\n",
        "        e.index = mention.begin\n",
        "        if k is not None:\n",
        "          e.sense_key = k\n",
        "        if e.isa(\"/pb/predicate\"):\n",
        "          for annotation in results['annotations']:\n",
        "            if annotation['tokenIndex'] == mention.begin:\n",
        "              e.frame_id = annotation[\"englishPropbank\"][\"frameName\"]\n",
        "    \n",
        "    frames = []\n",
        "    for mention in sling_doc.mentions:\n",
        "      for e in mention.evokes():\n",
        "        if e.isa(\"/pb/predicate\"):\n",
        "          if e['frame_id'] is not None:\n",
        "            # print(e)\n",
        "            mappings = get_mapping(e['frame_id'])\n",
        "            if mappings is not None:\n",
        "              frame = {\"predicate\": e['sense_key'],\"roles\":[],\"predicate_index\":e['index']}\n",
        "              frame_roles = [\"\"] * len(sling_doc.tokens)\n",
        "              frame_roles[e['index']] = \"VERB\"\n",
        "              for el in e:\n",
        "                parts = str(el[0]).split('/')\n",
        "                if len(parts) > 1:\n",
        "                  arg = parts[2][:-1]\n",
        "                  if arg.startswith('R'):\n",
        "                    arg = arg[2:]\n",
        "                  numbers = re.findall('\\d+',arg)\n",
        "                  if len(numbers) == 0:\n",
        "                    arg = modifiers[arg.split(\"-\")[1]]\n",
        "                  else:\n",
        "                    m_arg = 'A'+arg[-1]\n",
        "                    if m_arg in mappings:\n",
        "                      arg = mappings[m_arg]\n",
        "                    elif m_arg in semlink:\n",
        "                      arg = semlink[m_arg]\n",
        "                    else:\n",
        "                      arg = m_arg\n",
        "                  sense = e[el[0]]['sense_key']\n",
        "                  if sense is None:\n",
        "                    sense = e[el[0]]['name']\n",
        "                  frame['roles'].append({\"role\":arg,\"sense\":sense,'index':e[el[0]]['index'],'word':e[el[0]]['name']})\n",
        "                  frame_roles[e[el[0]]['index']] = arg\n",
        "              frame['structure'] = \" \".join([a for a in frame_roles if a != \"\"])\n",
        "              if len(frame['roles']) > 0:\n",
        "                frames.append(frame)\n",
        "    # print()\n",
        "    utterance_id = create_utterance((send_text,len(sup_tokens),len(frames)))\n",
        "    add_tokens(doc['tokens'],utterance_id)\n",
        "    add_structures(frames, utterance_id)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "OBoT7u6JBWeb",
        "outputId": "44f833b5-e218-4cd0-db07-c130232993d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 50/50 [01:12<00:00,  1.44s/it]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def get_token(id):\n",
        "    c = con.cursor()\n",
        "    token  = c.execute(\"SELECT * FROM tokens WHERE id = ?\",(id,)).fetchone()\n",
        "    try:\n",
        "        if token[2] is None:\n",
        "            return None\n",
        "    except:\n",
        "        return None\n",
        "    return token[2]"
      ],
      "metadata": {
        "id": "X8LaxQ1hFyKV"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Transform semantic structures into sequences\n",
        "\n",
        "At this step, we transform the sentences' semantic role structures into sequences of tokens. These sequences relate to the Colourful Semantics structure (i.e., Who, What Doing, What, Where, To Whom, When, What like).\n",
        "\n",
        "We write the sequences to a text file, which is used for training the fine-tuned model."
      ],
      "metadata": {
        "id": "pe_eoksPagdn"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "qry_structures = [\n",
        "    {\n",
        "        \"qry\": \"\"\"SELECT id, predicate_id,text FROM structures where text like '%Agent VERB Theme%'\n",
        "                or text like '%Agent VERB' or text like '%Agent Modal VERB Theme%' or text like 'VERB Location%'\n",
        "                or text like '%Agent Negation VERB Theme%' or text like '%Agent % VERB Theme%'\n",
        "                or text like '%Agent % VERB' or text like '%Theme Agent VERB%' or text like 'VERB Theme %'\n",
        "                or text in ('Agent VERB','Theme Agent VERB','Agent VERB Direction','DiscourseMark VERB Theme','Agent VERB Location')\n",
        "                and text not like 'VERB Theme Attribute%' and text not like 'VERB Theme A2%'\"\"\",\n",
        "        \"structure\": \"Agent VERB Theme Location Recipient Manner Time\"\n",
        "    },\n",
        "    {\n",
        "        \"qry\": \"\"\"SELECT id, predicate_id,text FROM structures where text like '%Theme VERB Attribute%'\n",
        "                or text like 'Theme VERB%' or text like 'VERB A2%' or text like '%Theme VERB'\n",
        "                or text like '%Attribute Theme VERB%' and text like 'VERB Theme Attribute%'\n",
        "                and text not like '%Theme VERB A2%' and text <> 'Agent Theme VERB'\"\"\"  ,\n",
        "        \"structure\": \"Theme VERB Attribute Location Recipient Manner Time\"\n",
        "    },\n",
        "    {\n",
        "        \"qry\": \"\"\"SELECT id, predicate_id,text FROM structures where text like '%Theme VERB A2%' \n",
        "                or text like '%A2 VERB Theme%' or text like 'VERB Theme A2%'\"\"\",\n",
        "        \"structure\": \"Theme VERB A2 Location Recipient Manner Time\"\n",
        "    },\n",
        "    {\n",
        "        \"qry\": \"\"\"SELECT id, predicate_id,text FROM structures where text like '%Experiencer VERB%'\n",
        "                or text like 'VERB Stimulus%' or text like 'Experiencer % VERB' or text like 'Experiencer % VERB'\n",
        "                or text like '%Experiencer % VERB%'\n",
        "                and text not like '%Experiencer VERB Theme%' and text not like '%Experiencer % VERB Theme%'\"\"\",\n",
        "        \"structure\": \"Experiencer VERB Stimulus Location Recipient Manner Time\"\n",
        "    },\n",
        "    {\n",
        "        \"qry\": \"\"\"SELECT id, predicate_id,text FROM structures where text like '%Experiencer VERB Theme%'\n",
        "                or text like '%Experiencer % VERB Theme%'\"\"\",\n",
        "        \"structure\": \"Experiencer VERB Theme Location Recipient Manner Time\"\n",
        "    },\n",
        "    {\n",
        "        \"qry\": \"\"\"SELECT id, predicate_id,text FROM structures where text like '%Agent VERB Patient%' \n",
        "                or text like 'Patient VERB%'\"\"\",\n",
        "        \"structure\": \"Agent VERB Patient Location Recipient Manner Time\"\n",
        "    },\n",
        "]"
      ],
      "metadata": {
        "id": "6B_aCV_-F06f"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "replecements = {\n",
        "    \"n't.\" : \"no%1:10:00::\",\n",
        "}\n",
        "marks = [\n",
        "        \"Agent\",\n",
        "        \"Theme\",\n",
        "        \"Location\",\n",
        "        \"Attribute\",\n",
        "        \"Patient\",\n",
        "        \"Experiencer\",\n",
        "        \"Stimulus\",\n",
        "        \"A2\",\n",
        "        \"Recipient\",\n",
        "         \"Manner\",\n",
        "         \"Time\"\n",
        "]"
      ],
      "metadata": {
        "id": "MgassBm2F4L0"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from tqdm import tqdm\n",
        "f = open(\"./sem_childes_uk_srl.txt\",'w')\n",
        "cursor = con.cursor()\n",
        "for item in qry_structures:\n",
        "  qry = item['qry']\n",
        "  for id_, predicate_id, text in tqdm(cursor.execute(qry)):\n",
        "    predicate = get_token(predicate_id)\n",
        "    if predicate is not None:\n",
        "        my_text = item['structure']\n",
        "        x = my_text.replace('VERB',predicate)\n",
        "        c = con.cursor()\n",
        "        for sense_key, gloss, role,pos in c.execute(\"select B.sense_key,B.gloss,A.role,B.tag from roles A inner join tokens B ON A.token_id = B.id where A.structure_id = ?\",(id_,)):\n",
        "            if sense_key is None:\n",
        "                sense_key = gloss\n",
        "            if pos == 'NNP':\n",
        "                sense_key = 'proper_noun'\n",
        "            if sense_key in replecements.keys():\n",
        "              sense_key = replecements[sense_key]\n",
        "            sense_key = sense_key.lower()\n",
        "            if \"'\" in sense_key and '%' not in sense_key:\n",
        "              sense_key = sense_key.replace(\"'ll\",\"\").replace(\"'d\",'').replace(\"'m\",'').replace(\"'re\",'').replace(\"'s\",'').replace(\"'ve\",'')\n",
        "            \n",
        "            x  = x.replace(role, sense_key)\n",
        "        for mk in marks:\n",
        "            x = x.replace(mk,'[PAD]')\n",
        "        f.write(x+\"\\n\")\n",
        "f.close()"
      ],
      "metadata": {
        "id": "0VqdRvrJF849",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "14250501-77bc-48b9-c94a-a16859790a93"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "20it [00:00, 5260.30it/s]\n",
            "10it [00:00, 5211.61it/s]\n",
            "4it [00:00, 5179.75it/s]\n",
            "2it [00:00, 3679.21it/s]\n",
            "0it [00:00, ?it/s]\n",
            "4it [00:00, 5509.76it/s]\n"
          ]
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
      "name": "Create SRL semCHILDES.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}