Skip to content

Instantly share code, notes, and snippets.

@mattalhonte
Created March 21, 2015 01:31
Show Gist options
  • Save mattalhonte/1a677b4c25081383fae4 to your computer and use it in GitHub Desktop.
Save mattalhonte/1a677b4c25081383fae4 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"metadata": {
"name": "",
"signature": "sha256:a65f9730f83ba5ec9ac40c5efeca8e8c36f14be8be5bfd76c276ca4121f43abe"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import nltk\n",
"from nltk.tag.util import tuple2str\n",
"import os\n",
"import os.path\n",
"from nltk.corpus.reader.plaintext import PlaintextCorpusReader\n",
"from nltk.corpus.reader.tagged import TaggedCorpusReader\n",
"\n",
"%cd C:\\Users\\Matt\\Dropbox\\Python Workspace\\CROW\\CROL-PDF"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"C:\\Users\\Matt\\Dropbox\\Python Workspace\\CROW\\CROL-PDF\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"readTagged = TaggedCorpusReader(os.getcwd(), 'taggedCorpus.txt', sent_tokenizer=nltk.RegexpTokenizer(\"\"\".\\.\"\"\", gaps=True))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Few little hickups upon loading, let's smoothe those out\n",
"cleanTaggedWords = [a for a in readTagged.tagged_words() if a[1]!=None]\n",
"cleanTaggedWords2 = [a for a in cleanTaggedWords if len(a[1])>1]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Let's see some verbs!\n",
"allMyVerbs = [a for a in cleanTaggedWords2 if a[1][0]=='V']"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"allVerbsText = nltk.Text(allMyVerbs)\n",
"allVerbsFreq = nltk.FreqDist(allVerbsText)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"allVerbsFreq.plot(10,cumulative=False)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAFhCAYAAACbA2bhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XmYFOW5/vHvDIuDgAwIYRFxFMV9xx0VjSA5cU2MmhiP\nS9TkaKInmgVj3H4aNWYxxsRsHrcYNSQqLonIooC7IriLKIg6KijoEEDZ5/fHU2XXDD1N9dBd79Mz\n9+e66qqumhnmprun3q53BRERERERERERERERERERERERERERkTZpa2BGYlsEnA30AiYAs4DxQG3i\nZ84H3gBmAiOzDCsiItmrBj4ANgWuBn4Unf8xcFX0eDvgeaATUAe8Gf2ciIi0USOBR6PHM4G+0eN+\n0THYXcOPEz8zDtg7k3QiIvK5LD+VHw/cET3uC8yPHs8nV1AMAOoTP1MPbJJJOhER+VxWhUNn4HDg\nH3m+1hhtLSn0NRERKYOOGf2eLwHPAR9Fx/Ox6qR5QH/gw+j8e1ibRGxgdO5zgwcPbpw9e3ZZw4qI\ntEGzgS3TfnNWdw5fJ1elBHAfcFL0+CRgbOL88didxubAVsAzyX9o9uzZNDY2utouvvji4BkqJZcy\nKVN7yOUxEzC4mIt2FncOXYFDgNMT564CxgDfAuYCx0bnX43OvwqsAs6kAqqVli1bFjpCXh5zKVM6\nypSex1weMxUri8JhKdC72bmPsQIjnyuiTUREAtEYghIYNWpU6Ah5ecylTOkoU3oec3nMVKyq0AFa\noTGqPxMRkZSqqqqgiGu+7hxKoKGhIXSEvDzmUqZ0lCk9j7k8ZiqWCgcREVlLRVYrLV7cSLduoWOI\niFSOdlGtdOKJsGZN6BQiIm1XRRYOY8fCxReHTpHjtX7RYy5lSkeZ0vOYy2OmYlVk4VBdDZdfDnfe\nGTqJiEjbVJFtDtde28g550BNDTz6KAwdGjqSiIhvxbY5VGThsGZNI2ecATfcAAMGwLPP2l5ERPJr\nFw3SVVXw+9/D/vvD++/DUUfBZ5+Fy+O1ftFjLmVKR5nS85jLY6ZiVWThANC5M9x1F9TV2Z3DaaeB\nBk6LiJRGRVYrJafPeOkl2HdfWLIErrgCzj8/YDIREafaRZtD87mV7rvPqpYA7rkHjjwyQCoREcfa\nRZtDc0ccAT/7mVUrnXCC3U1kyWv9osdcypSOMqXnMZfHTMVqE4UDwOjR8I1vwNKlVlh89NG6f0ZE\nRPJrE9VKsc8+gwMPtAbq/feHiROt4VpEpL1rl9VKsS5dbGqNAQNscNxZZ6kHk4hIa7SpwgGsYLj3\nXhs9fcMNcN115f+dXusXPeZSpnSUKT2PuTxmKlabKxzAptO46SZ7/P3vw/jxYfOIiFSaNtXm0NyF\nF9oEfT16wNNPw9ZblzmZiIhT7XKcQ0vWrIFjjrGxD0OGwFNPQc+eZU4nIuJQu26Qbq66Gm69FXba\nCWbNguOPh1WrSv97vNYvesylTOkoU3oec3nMVKw2XTgAdOtmI6j79LG2hx/8IHQiERH/2nS1UtJj\nj8HBB8PKlfCXv9hEfSIi7YWqlVowbBj88Y/2+MwzYerUsHlERDxrN4UDwKmnWtfWlSvhq1+FuXNL\n8+96rV/0mEuZ0lGm9Dzm8pipWO2qcAC4+moYNQoWLLA5mBYvDp1IRMSfLNocaoEbgO2BRuAU4A3g\n78BmwFzgWCAuas8HTgVWA2cDzYewtarNIamhAfbeG15/3ab3vvtu69kkItJWeWxzuBb4N7AtsBMw\nExgNTACGAJOiY4DtgOOi/Sjg+nJkrK2F+++3MQ/33muD5UREJKfchUMPYH/gxuh4FbAIOAK4JTp3\nCxAt1cORwB3ASuyO4k1gz3IE22orGDMGOnSwFeRuv731/5bX+kWPuZQpHWVKz2Muj5mKVe7CYXPg\nI+AmYDrwF6Ar0BeYH33P/OgYYABQn/j5emCTcoU75BD4zW/s8amnwjPPlOs3iYhUlnIXDh2B3bDq\nod2ApeSqkGKN0daSsk66fdZZcMYZsHy5LTX63nvF/xu1tbWlD1YCHnMpUzrKlJ7HXB4zFatjmf/9\n+mh7Njr+J9bgPA/oF+37Ax9GX38P2DTx8wOjc02MHj2ampoaAIYOHcqwYcM+fzHi27m0x4sWNXD5\n5fD667VMmQLnndfAtddC376t+/d0rGMd69jD8eTJkxk3bhzA59fLYmTRW2kqcBowC7gE2DA6vxD4\nOXYnURvttwNux9oZNgEmAlvS9O5hvXsr5bNgAey5J7z1ls3BdPvtUJXy2WloaHD5ScFjLmVKR5nS\n85jLY6ZieyuV+84B4HvA34DOwGysK2sHYAzwLXJdWQFejc6/ijVen0mZq5VivXvbHEz77AN33gk7\n7AAXXJDFbxYR8afdzK2U1v3329iHxkYb/3D00WX7VSIimfE4zqGiHH44XHmlPT7xRHjhhbB5RERC\nUOGQx49+BN/8JixdalNsfPhh4e/32qfZYy5lSkeZ0vOYy2OmYqlwyKOqyqb13msveOcdm6Rv+fLQ\nqUREsqM2hwI++AD22MPGPpx6KtxwQ/oeTCIinqjNoYT697e5l7p0gRtvhGuvDZ1IRCQbKhzWYffd\n4eab7fF558FDD639PV7rFz3mUqZ0lCk9j7k8ZiqWCocUjj0WLroI1qyB446DmTNDJxIRKa9KrEHP\nrM0hac0aKyTuugu23BKefhp69co8hohIqxTb5qDCoQhLl8J++9nYh0MOgQcfhI5ZjDEXEVlPapAu\no65dbYqNL3wBJk6Ec8+1817rFz3mUqZ0lCk9j7k8ZiqWCociDRoE99wDnTvDddfBn/8cOpGISOmp\nWqmVbr4ZTjnFqpUmToQDDwydSESkZapWysjJJ1vX1lWrbAT13XfbZH0iIm2BCof18POfw5e/DJtu\n2sBXv2rrQTz0kJ9CwmO9pzKlo0zpeczlMVOxVDishw4d7I7hnHOgXz+YNg1GjbIqpkcfDZ1ORKT1\n1OZQIp9+Cr//PVx1FXz8sZ079FC4/HIYOjRsNhERjXMIbNEiuOYa+PWvYfFiO3f00XDZZbD99mGz\niUj7pQbpAJL1iz16wCWXwJw58MMf2qR999wDO+5oiwe9+WaYXF4oUzrKlJ7HXB4zFUuFQ5n07g1X\nXw2zZ8NZZ1mX19tug222gW9/G+rrQycUEWmZqpUyMncuXHop3HqrzdO0wQbwP/8D559vI65FRMpJ\nbQ7OzZwJF18MY8bYcdeu1tvpBz+Anj3DZhORtkttDgEUU7+4zTbw97/DjBlw2GE2md8VV8AWW9h+\nyZIwubKiTOkoU3oec3nMVCwVDoHssgvcfz888QQcfDA0NMAFF1gh8ZvfwLJloROKSHumaiUnJk2y\nwuHpp+144EC48EKbv6lTp7DZRKTyqc2hgjU2wgMPwE9/Ci++aOcGD7ausV//uo3IFhFpDbU5BFCq\n+sWqKjj8cGuPuPNOGDLEusKeeCLsvHPxk/t5rPdUpnSUKT2PuTxmKpYKB4eqq22t6ldegRtvhM02\ns8ceJ/cTkbZJ1UoVYPlyuOEGm6dp3jw7t//+8LOf2V5EZF3U5tCGaXI/EWktj20Oc4EXgRnAM9G5\nXsAEYBYwHqhNfP/5wBvATGBkBvnWW1b1ixtuaPM1zZljA+m6d7cqpj32gK98xaqeQuQqhjKlo0zp\neczlMVOxsigcGoHhwK7AntG50VjhMASYFB0DbAccF+1HAddnlLGieJrcT0Tapiyqld4ChgILE+dm\nAgcC84F+wGRgG+yuYQ3w8+j7xgGXAE8lfrbdViu15IMPrP3hz3+GlSuty+u3vgW/+hV06xY6nYh4\n4LFaqRGYCEwDTo/O9cUKBqJ93+jxACA5X2k9sEkGGSta//7wu9/BrFm2tnVjoxUUl14aOpmIVKqO\nGfyO/YAPgD5YVdLMZl9vjLaWrPW10aNHU1NTA8DQoUMZNmwYtbXWbBHX9WV5vGTJEgYOHBjs98fH\ndXVwzTUNHH88jBpVy6xZDcRVnyGfn+RxfX093bp1c5PH0+uXPI7PecmTzOIlT3ys1y//8eTJkxk3\nbhzA59fLYmTdW+liYAl2BzEcmAf0Bx7BqpXitoerov246GeeTvwb7qqVGhoaPn9xPFi50taT2GKL\nBsaOrWWzzUInyvH2XIEypeUxE/jM5TGTt2qlDYHu0eOuWO+jl4D7gJOi8ycBY6PH9wHHA52BzYGt\nyPVwcsvbm6BTJzjkEHj++Voeeih0mqa8PVegTGl5zAQ+c3nMVKxyFw59gUeB57FP/w9gXVevAkZg\nXVkPJnen8CowJto/CJxJ4SonacGhh9o+uqsUESmKBsGVgMdbyLffhqOOamD27FoWLvQzs6vH50qZ\n0vGYCXzm8pjJW7WSBLLZZjBoECxeDE8+GTqNiFQaFQ4l4O0TQmyLLSyXp3YHj8+VMqXjMRP4zOUx\nU7FUOLRho0bZXu0OIlIsFQ4l4HUelV12aaCmBqZPh/nz1/39WfD4XClTOh4zgc9cHjMVS4VDG7bB\nBnDggfZ4woSwWUSksqhwKAGv9Yu1tbXuqpY8PlfKlI7HTOAzl8dMxVJX1jZu5kzYdlsbMT1/vq0y\nJyLtj7qyBuC1frGhoYGtt7ZurQsWWNtDaB6fK2VKx2Mm8JnLY6ZiqXBo46qqcqOlPXVpFRHfVK3U\nDtxzj60UN2wYPPpo6DQiEoLWkJa1LFpkbQ6NjbBwoa0kJyLti9ocAvBavxjn6tED9tkHVq+GSZN8\nZPJEmdLxmAl85vKYqVgqHNoJb11aRcQ3VSu1E9Onw+67w6ab2oytVZX4yotIq6nNQfJas8bWmv7w\nQ3jlFdhuu9CJRCRLanMIwGv9YjJXdTWMHGmPQ3Zp9fhcKVM6HjOBz1weMxVLhUM7onYHEUmr2Gql\nXsBA4MUyZElL1Uqt9NFH0LcvdO4MH38MG24YOpGIZKUc1UpTgI2wguE54AbgmtaEk7D69IHddoPl\ny2Hq1NBpRMSzNIVDD+A/wFeAW4E9gUPKGarSeK1fzJcrdNWSx+dKmdLxmAl85vKYqVhpCocOQH/g\nWOBf0TnV61So0IWDiFSGNPVPXwMuBB4H/gcYDFwNfLWMuQpRm8N6WLnSptL4z3/grbegri50IhHJ\nQjnaHD4AdsIKBoDZqM2hYnXqBIdElYKapVVEWpKmcLguz7nfljpIJfNav9hSrpBVSx6fK2VKx2Mm\n8JnLY6ZidSzwtX2AfYE+wLnkbke6Y+0QUqHi9R0mTbJqpk6dwuYREX8K3Tl0JlcQdAe6Rdt/gGPK\nH61yeF0vtqVcgwbZ0qGLF8OTT/rIFJIypeMxE/jM5TFTsQrdOUyJtpuBuVmEkeyMGgWvvWZVSwcc\nEDqNiHiTps1hA+AvwATgkWh7uJyhKo3X+sVCuUK1O3h8rpQpHY+ZwGcuj5mKVejOIfYP4A/YyOjV\n0bli+pJ2AKYB9cDh2EjrvwObYXckxwLxM3k+cGr0e84Gxhfxe6QI++8PNTUwYwbMn2/TaoiIxNL0\neX0O2H09fse50c93B47AxkgsiPY/BnoCo4HtgNuBPYBNgInAEGBNs39P4xxK5EtfsjuHW2+FE08M\nnUZEyqkc4xzuB87CRkn3SmxpDAT+C7vriEMdAdwSPb4FOCp6fCRwB7ASu6N4E5uqQ8pEo6VFpCVp\nCoeTgR8AT2B3EfGWxjXAD2n66b8vMD96PD86BhiAVT3F6rE7CPe81i+uK1dcOIwfb4sBZcHjc6VM\n6XjMBD5zecxUrDRtDnWt/LcPAz4EZgDDW/ieRgq3X+T92ujRo6mpqQFg6NChDBs27POuY/GLkuXx\nkiVLgv7+1h4PGQKHHtrA/PkwfXotQ4eW//cvWbLEzf8/Pvb4+sW85PF8rNcv//HkyZMZF1ULxNfL\nYqSpfzqJ/BfpW9fxc1cAJwKrgBps2u+7sTaF4cA8rKrqEWAbrN0B4KpoPw64GHi62b+rNocS+s53\n4E9/gssug5/+NHQaESmXcrQ57JHYDgAuwdoN1uUnwKbA5sDxWPfXE4H7sAKHaD82enxf9H2do5/Z\nCngmxe+R9aB2BxHJJ03h8F3ge9F2GrAb1vOoWPHH/auAEcAs4GBydwqvAmOi/YPAmVTI1OBe6xfT\n5Dr4YOjYEZ56CrL4b3h8rpQpHY+ZwGcuj5mK1Zo1pD/FPtkXYwq5u42PscWChgAjyY1xAKuK2hKr\nZtKcoRnYaCPYd19YvdrmWhIRgfRdWePtX8DrwD3lDFVpvM6jkjZXllVLHp8rZUrHYybwmctjpmKl\naZwYHu0bscbld4B3yxUoBTVIl9iMGba29MCB8M47UJW6yUpEKkU5GqQnAzOx3kY9geWtCdaWea1f\nTJtr553hC1+A+nqbjM9DpiwpUzoeM4HPXB4zFStN4XAs1p30a9HjZ6LH0kZUV+fWeFCvJRGBdLcY\nL2INyB9Gx32ASdjSoSGoWqkMbr8dTjgBRoywEdMi0raUo1qpCvgocbywmF8glWHECGtrmDoVPv00\ndBoRCS1N4TAO61Z6MnAK8G9sHIJEvNYvFpOrTx/YfXdYvhymTPGRKSvKlI7HTOAzl8dMxSpUOGwF\nDMMmzvsTVo20IzYB35/LH02yptHSIhIrVD30L2zxnRebnd8J+Bm2cE8IanMok8ces0WAhgyB118P\nnUZESqnYNodC3zgNGNrC114Gdkgfq6RUOJTJqlXQuzcsWgRz5sDmxY6DFxG3StkgXWiIX/Hzv7Zh\nXusXi83VsSMccog9fqhMk5d4fK6UKR2PmcBnLo+ZilWocJgGnJHn/OmkX+xHKozaHUQECt9i9MPm\nUFpBrjDYHdgAOBr4oLzRWqRqpTJ6910YNAi6d4cFC6Bz59CJRKQUStnmEH/9IKx9oRF4BVuXISQV\nDmW2/fbw6qsweTIceGDoNCJSCqUeBNeIFQa/Ba4jfMHgktf6xdbmKmfVksfnSpnS8ZgJfObymKlY\nrVnPQdo4zbMkIpU4DYaqlcps2TLo1Qs++ww++AD69QudSETWVznmVpJ2pqYGhg+3x5qET6R9UuFQ\nAl7rF9cnV7naHTw+V8qUjsdM4DOXx0zFUuEgecXtDuPH2/rSItK+qM1B8mpshC22gLlz4ZlnYI89\nQicSkfWhNgcpiaoqjZYWac9UOJSA1/rF9c0VVy2Vcp4lj8+VMqXjMRP4zOUxU7FUOEiLDj7YJuN7\n8kn45JPQaUQkS2pzkIKGD7eV4f7xDzjmmNBpRKS11OYgJaXR0iLtkwqHEvBav1iKXHGj9EMPWQ+m\n9eXxuVKmdDxmAp+5PGYqlgoHKWjnnaFvX6ivt5laRaR9KGfhUAM8DTwPvApcGZ3vBUwAZgHjabri\n3PnAG8BMYGQZs5VUbW2hRfPCKUWu6urSVi15fK6UKR2PmcBnLo+ZilXOwmEZthbELsBO0eNhwGis\ncBgCTIqOAbYDjov2o4Dry5xPUipHl1YR8a3cF99Po31noAPwCXAEcEt0/hbgqOjxkcAdwEpgLvAm\nsGeZ85WE1/rFUuUaMcIGxU2ZAkuX+shUSsqUjsdM4DOXx0zFKnfhUI1VK80HHsFWkusbHRPt+0aP\nBwD1iZ+tBzYpcz5JoU8fGDoUVqywAkJE2r6OZf7312DVSj2Ah7CqpaTGaGtJ3q+NHj2ampoaAIYO\nHcqwYcM+r+OLS+ysj2Ohfn++49ra2pL9e4ceWsuzz8K0aQ3su2/r/734nIfnJ3mczOYhj8fjUr6f\n9PqV/3jy5MmMixoK4+tlMbIcBHch8BlwGjAcmAf0x+4otiHX9nBVtB8HXIw1aidpEFwAjz8Ow4bB\nkCHw+uuh04hIsTwNgutNridSF2AEMAO4DzgpOn8SMDZ6fB9wPNY+sTmwFfBMGfOVjNf6xVLm2msv\n6NEDZs2COXN8ZCoVZUrHYybwmctjpmKVs3DoDzyMtTk8DdyP9U66CisoZgEHk7tTeBUYE+0fBM6k\ncJWTZKhjR2uYBvVaEmkPNLeSpHbDDXD66XDkkTB27Lq/X0T8KLZaSYWDpPbuuzBoEHTrBgsXQufO\noROJSFqe2hzaDa/1i6XOtemmsP32sGQJPPGEj0yloEzpeMwEPnN5zFQsFQ5SFM3SKtI+qFpJijJh\nAowcCbvsAjNmhE4jImmpzUHKatky6NULPvsM3n8f+vcPnUhE0lCbQwBe6xfLkaumxlaHAxg/vvif\n9/hcKVM6HjOBz1weMxVLhYMULbkAkIi0TapWkqLNmgVbbw0bbwzz50OHDqETici6qFpJym6rrWDz\nzW2sw3PPhU4jIuWgwqEEvNYvlitXVVXru7R6fK6UKR2PmcBnLo+ZiqXCQVpF7Q4ibZvaHKRVFi+2\nLq1r1sCCBdCzZ+hEIlKI2hwkE927w377WeEwcWLoNCJSaiocSsBr/WK5c7Wmasnjc6VM6XjMBD5z\necxULBUO0mpx4TBuHKimT6RtUZuDtFpjIwwYAPPmwUsvwQ47hE4kIi1Rm4NkpqrKJuED9VoSaWtU\nOJSA1/rFLHIlq5bS8PhcKVM6HjOBz1weMxVLhYOslxEj7A5i6lRYujR0GhEpFbU5yHrbc0949ll4\n4AH48pdDpxGRfNTmIJnTaGmRtkeFQwl4rV/MKlcx7Q4enytlSsdjJvCZy2OmYqlwkPW2557Qowe8\n8QbMmRM6jYiUggqHEqitrQ0dIa+scnXsaA3TsO6qJY/PlTKl4zET+MzlMVOxVDhISRTbpVVEfFPh\nUAJe6xezzBWv7zBpEqxY0fL3eXyulCkdj5nAZy6PmYqlwkFKYuBA2H57G+vw+OOh04jI+lLhUAJe\n6xezzpWmS6vH50qZ0vGYCXzm8pipWOUuHDYFHgFeAV4Gzo7O9wImALOA8UDymTwfeAOYCYwscz4p\nIbU7iLQd5S4cVgLfB7YH9gbOArYFRmOFwxBgUnQMsB1wXLQfBVyfQcb15rV+Metcw4ZBly7wwgvw\nwQc+MqWhTOl4zAQ+c3nMVKxyX3jnAc9Hj5cArwGbAEcAt0TnbwGOih4fCdyBFSpzgTeBPcucUUqk\npgYOOsgejx8fNouIrJ8sP5XXAbsCTwN9gfnR+fnRMcAAoD7xM/VYYeKa1/rFELnWVbXk8blSpnQ8\nZgKfuTxmKlZWhUM34C7gHGBxs681RltLNMteBYkLh/HjYfXqsFlEpPU6ZvA7OmEFw1+BsdG5+UA/\nrNqpP/BhdP49rBE7NjA618To0aOpqakBYOjQoQwbNuzzkjqu68vyeMmSJQwcODDY72/pOFnvmdXv\n7927gVGjYNy4WqZNg623bvr1+vp6unXr5uL5iY89vn7xOS95Qr2f9Pq1/njy5MmMi27h4+tlMco9\nZXcV1qawEGuYjl0dnfs51hhdG+23A27H2hk2ASYCW9L07sHdlN0NDQ0ubyND5TrzTPjDH+DSS+Gi\ni3xkKkSZ0vGYCXzm8pip2Cm7y104DAOmAi+Su8CfDzwDjAEGYQ3PxwJxkfsT4FRgFVYN1bzXvLvC\nQZq67z448kjYZx944onQaUQE/BUO5aDCwbnFi6FXL1izBhYsgJ49QycSES32E4DXPs2hcnXvbmMe\n1qyBiRN9ZCpEmdLxmAl85vKYqVgqHKQsNFpapLKpWknK4vnnYdddYcAAqK+Hqkp8p4m0IapWEhd2\n3hn69YP334eXXw6dRkSKpcKhBLzWL4bMVVWVW+MhOUurx+dKmdLxmAl85vKYqVgqHKRs1O4gUrkq\nsSZYbQ4VYuFC6NMHOnWCjz+Grl1DJxJpv9TmIG5svDHssYctGzp5cug0IlIMFQ4l4LV+0UOu5lVL\nHjI1p0zpeMwEPnN5zFQsFQ5SVnGjtNodRCqL2hykrFatsnaHhgZ4800YPDh0IpH2SW0O4krHjjBi\nhD1+qPkUiiLilgqHEvBav+glV7LdwUumJGVKx2Mm8JnLY6ZiqXCQshs50vYPPwwrV4bNIiLpqM1B\nMrHjjjaNxsMPw0EHhU4j0v4U2+aQxTKhIowaZYXD6NE29mHDDXNb167pjzt1Cv0/EWkfdOdQAh6X\nBARfuR59FA44AHbZpYHnn299po4dCxcexRQ08TE00K1bLZ06sdbWuTNUB6h89fTaxTxmAp+5PGbS\nnYO4tP/+MGkSzJtnU2l8+iksXWr7eGt+3Pzc0qXWNXbRIttKZZddbIrxllRXr11oNC9ACn29Nd+z\n0UawfLn97g4d1t7nO7c+35vme1asKN1zLv7pzkEqyooVhQuU1hwvX24N5fG2YkXTY73dcmpqbAnY\nnj1tn3br3l1reoSmNaRFSmz16sKFR/Ot0NfT/uyqVbbM6urVuX3ycUv7cn5PXIi2RocOrStUamvt\nZ2X9qXAIwGP9IvjMpUzpeMz0yScNbLBBLR9/TMHtk0/WPrdkSet/b21ty4VKz55QW9vAZ5/VZlK1\nlvZ7li61dixPevVSm4OIlEFVVa4hf+DA4n52xYr8hca6CpaGhtz21lv5/+11tRmF4DFTsXTnICJu\nrV5tnQ8KFSbNq8FKVbXW2n9v9erQz1p+DQ2qVhIRkWY08V4AXudR8ZhLmdJRpvQ85vKYqVgqHERE\nZC2qVhIRaQdUrSQiIuut3IXDjcB84KXEuV7ABGAWMB5IdgY+H3gDmAmMLHO2kvFav+gxlzKlo0zp\neczlMVOxyl043ASManZuNFY4DAEmRccA2wHHRftRwPUZ5CuJxx57LHSEvDzmUqZ0lCk9j7k8ZipW\nuS++jwKfNDt3BHBL9PgW4Kjo8ZHAHcBKYC7wJrBnmfOVxLRp00JHyMtjLmVKR5nS85jLY6Zihfhk\n3heraiLa940eDwDqE99XD2ySYS4REYmErrZpjLZCX3dv2bJloSPk5TGXMqWjTOl5zOUxk0d1NG2Q\nngn0ix73j47B2h5GJ75vHLBXnn/vTXKFijZt2rRpS7e9iTN1NC0crgZ+HD0eDVwVPd4OeB7oDGwO\nzKYyx2GIiMg63AG8D6wA3gVOwbqyTiR/V9afYKXbTODQTJOKiIiIiEjLtMbS+qnBnkOnk/SKiLTu\nOuW9Tv8LwNeAA7C2i0bgbWAq8A/gw4zzVGPjMr4O7BsdV2FP+pPA34CxUc4QaoF9yD1Xc6NciwLl\n6YSNdM/MRlsUAAAZzUlEQVT3+j0ErAqUa/tmmeZiY3JeCZTH2/s85u15SuoKbIrlqgeWBszi7X1e\nkuuU58Lh/4DBwIPAM8AHWN7+2OC4UVj7xGkZZpqK/XHchzWeL4/ObwDsig3wG4a9SbK0P/BD7I05\nA2vniZ+rXbE/6quBLIdtXgh8FXszPhNlqib3+u0N/BO4PMNMJwLfAxYmMiXfU72Ba4HbMszk8X3u\n8XkC6A6cDhwfZZgf5eobZf0b8BdgPRYlLZrH97nX61TJ7Jzie3Yqe4qmNijR95Tar4GtCnx9SPQ9\nWTqCwuNoqqPvydLZ2AWmJRtF35Mlj+9zj88T2HQ7p5MbOJvUDzgj+p4seXyfe71OiYhIpfNcrfRI\ntF8IHBMySMJcrJ7uQ/IP0AvlpGj/KVZH7cFN0b4B+H7IIAkXR/vFZH8n1RKP73OPzxPAoGi/Gngv\nZJAEj+/zuZTgOtWxVGnK4JRo76knUF3oAC3YHHszZFnXui7x5IrLC35Xtt7GnqfPQgdJ8Pg+9/g8\nAdyK5foYq+f3wOP7vK4U/4jnO4d8emOfsEL1Bhq0jq+/k0mK4tQAmugl5wvAZti6IZU/6b5Ifh2x\nDxyN2HVrL6xjw4y0/4DnwmEf4ErsU8Ll2KeG3lh/3f/Gendk7WXyF0x9oi3UuJF52OjyG/N8bTqw\nW7ZxAGsE/wn2+l0D/BnrHRH3vHk2QKbTgCuwqVm2wBow7w2QI+mtAl9rxHJmrQ9wFvba3YT1dItf\nu/MIN0dP89418fUr/pucmmGW2CMtnI8zHZxVkITTgZ9jNQmXYT0Zp2M9lW4iN2VRxXoO6zv8NewT\n3t7R+W2w7lke1AF/xP5Yvhcwx1xgCtbeUNvsa6k/KZTY49jF94dY/fCxQBdgBPB0oEyvYBc+sIvu\nU4FyJPVObBtj+b6LvaZ3Bco0AStEfwe8CvwI2Ba76EwOlAngAeD+PNvbhKuWG5rYdo+2s7BahFCL\nOrwK9MTukD/F3lsAG0Zfq3jJAuC1Zl8LdcGLDQFuxuaAOh0bBBPSDOxT1E+xT6IHNftaCMnXr/kn\nzVCFe/PnIvT7KKkaOBkrwP6GTUQZygvRvoq1q0q9fDAD2A+bvfkp4PDAWQCGY/PGPQ58KWCO5Pv6\nhQJfK8hzg3Sy+sZLnfmOwAXYyNGrgW/hpyGxEat+Gw/8FRsB+dPAeWKLC3wtSwOB35KrjtgkcdxI\nmL77nYFTsZ4uj2ErIoaeWnlNtG/E2viSQr12SYeQe2//DLvTCWkUdl1Ygf0NtlTVlJUuWFVyFTae\nIa5Wroq+lornNofV2C0R2H8o2XOiC2EKttXYUP0HyP0BxUJdXMA+DeyaOO4GXIcNnuqN3V5m7TNy\nF7nBWD0/ieMNM09kn8wbyRUGyfd/I7meJ1mqx6ZXuBb7lB5ffOOMdwfItIhc/f3+2GhbEsfNqy6z\nchh2EW7Aqr0eLfztmXgWqwr8JTZKGpoWoNMzT2RVf83fR0kHkYLnwsGjk6N98okncS7ExQWsIfrU\nPOePwT7JbJNtHMAKpELvr7kZ5fDu5mjf0ifyU1o4X04H0vJr14i1b4WwBitMm1eVgOXKeiQy5Npg\nWnr9Ul2IS6wzdhfTZv0b+Cb2KVgqz/XY/C2e9AEuITc9xB+wOv57gS3DxXLnR9ikdt4Mj7YDE4+T\n58R8CNwAfJE2egNwFHAn8BEwBjgaKxFD8npx8Zjrf7Hb7Lex9pldC397Jjz2wqnCLmzx/EnHAb/H\n2iBCzX/zG2xxrkeBM8n18JL8NiPXI2gfrIfe0eHi0Bv4Dvaefg+rsty70A9Uqq7YLIxjsVkYb8K6\nuIbg8eICfnOBdfcdjbWLvI5NzTAkUBaPvXCuxy7Cz2KznI7F/rBvw3othVKNfSL/IzZT7EPYNC2F\nJuQrt7iX4K+xzgUPYlN1vwDsESjTRVh72mysCvcpbBzBI9hFObQB5D6ozcauE23SztgfcageQh4v\nLuA3V3O7Evb1m9HC43zHWXmNXC+Sj8l1tKjCBl160AFbtncGuU4iISTHzryPj7Ezr2F3eD2xXnld\no/Md8bHuBViBfhJ2nUi9Nojnrqyxftib4HhsjvS/k5toLmteu/h5zQX2Hvsv7PX7IvaJ6uKCP1E+\nW2CDpsDmo7o/8bXNs48DWDfteB6jt8ktDNMIrAyUKWkn7LU7FlgAnB8wS1dspD3At7HqZrA7518E\nSWSv3/Joe5PcokOrCNso3AUb+3E8ufEgP8bGYaTiuXA4A/uPbYONFP0BdmsU8mLn8eICPnONxF6/\nL2OLoNyBvaYhJwc8glwD3a+afe2XGWeJ9QHOxXIlH8dfC2EI9todh33wuAN7PecEyhPzOHamB/AV\n7DWLH5M4DuF27G5qClY1eQKtmETRc0v2Tdh/8mH8DDTz2sXPY65HsNfvLqy6xIMfYRe6d0MHSbiE\nwn3SL800jZmDPU934KdqC3yOnbmZwq9fiK7I/w3cw9oFaJuxWbRtEjpIgtcufl5zeeOxF86eoQNU\nkM2wDg4tbSH0D/R7CzkJKyC+FjpIuTwSbaEmH8vH48UFfOZ6K9pCNRS2xFsvnOexT8OXEXY+pSSv\nr53HsTPzsHr8bxFu5Hhzl2DteucFztHueLu4xLzm8sxLL5xtsD/oV4EXsa6/dQHzeOVx7ExHbG6l\nm7Gu9vdi7TWp5zCStsnLxaU5r7k82Qnr8/0m1jf9nLBxPrcLto7JHOCJwFm8qsPP2JmkDbDBu3dg\ndxS3h40joXi9uHjN5cEQbNDSK8BL2GJEIRbTaUk11ivoRuxT6D1h41SE0GNnmovfY2/ga0p4KTOv\nFxevubyZg03xvEPoIM0cgNWnv49NuX4K4bpBVoKOWLfk27FC9E5sqvNQBmGdQqYDs7AeZiEmu2z3\n+hNuzhmvFxevuWTd3sVG/n4X6Bs4i3fJu6r7gW8QfmLOJ7BZCX6JrQLn2VHYWtJt1iRsuudQg5Zk\n/cyMtu8G+N0ee+GEWGujtSZiI20PC/T7H8HmC+sV6PfncwC+x4slXYkVquPSfHOl/Keaq8Ymlst6\n7pJ4MfgP8VUCe83Vkt5Yzn+FDuLATdG+AZuJ1bNNsDv3vbCZYyU3FcxibELANqNSCweRtmJ4tF9O\nbiUxyc/jh6CTyc2NNabwt2YmXttiOdYppVU8Fw4e3wiSnl6/yhWvgbwQW01QKsvNWIG1CBsb0iqe\nCwcRCaMu2q/G1zxUIk1UAydiXTXBuo1pPprK0gFbdGRQYpPKUAccEj3eENgoXBQpUj/g/8g1QG+H\nTfPRZvwR6wM+MzruBUwLF0eK9D1sHYBXsTEY8eZJ6F44Xp2BrVAXz346BOstKJVhHDbt+ovRcSd8\nzbK73mY020Nu5TMvvF5cPOSaDWwc8PensQkwFDgrdJCEK7DFWUI+dy9gY4qSf3veCnavzsIuzCHX\nzIk/RCdfv9QrQ1aXNktZrMCqJWJ9yK185sVJwE/x12fdQ653gP8E/P1pvIf9IXnqnvksVuf/m4AZ\n4hXOYh0Jv7JgPiHHzrSkCtifsFOgLKHph4u9sUbqNuObwH3YH/AV2PD0Y4MmkmLcCDyGLS95XrSd\nGyhLPA38PwP9/krzC+ACbHK7EdiF7mdBE7WsN7bqoOTsjo3gXhTt3wB2TvvDldJbaVts/WGwOs/X\nAuXw2sXPay6wqahh7dWyQqxwVhftPfXC8TyIqho4DZu2Amwa+BvwefcQSrye/afAP0IGyaMGe69v\njf3dvY69psvS/LDnNaSTNsSqlhoJO096vOSflxkgY15zQa5w8GBu4nEdsCXWLrMh9rcQovrrbXKD\nqLw5AZt++s+Jc4cBD4SJ43LszObY6xdybfSWPAHsRtNG6OnRuTbhIqwR7FLg/2GNZBcGTeRXV3Lt\nM1tjM1d2CpTl2mh/f57tvkCZYuqFk04D1oCZXKFO01D71x+rUpqJFQS7R/vh5Hp9rlMlVCvNwtYo\niG+FumAFRIjFPZbQ8i11I+H7gE/HllHsic30+SzWoH9CgCy7A8+Rmx6iucmZJVnbC9hYmafIrSb2\nErBjgCz3Jx430vRvshEr4EOZgVUr3Yp9OBsTnQu9AttfsbFP6zqXhesSj/O9fmdnGwewqq6TsR54\nyW7/i7HR03en+UcqoVrpPaxAiAuHGqA+UJZ4euDLsbn3b4uOT8AGeYVWhdV9fgsbG3I14br9Phft\nJwf6/YV46oXzq2h/NDZo6Tbsdfw6NjV1aM9hc/XcgVXldCj87ZloPjV9R8JNlx2/z/fF7rD+jr1+\nXyP7iUFjt0TbMbTRzhfXRdtY7EJ8c7S9R/gVsl5MeS5rM4B9sE/E20fnQvdLH4K9QV8jN2X2nKCJ\nfPbCeS7luSz9O/G4A/a8hexG/hPs0++qaB9vHwNXBcwFNg18sgq3Ez6mhj8MW4joosRW8U7Os52U\n2If0JNbFtkO0nYCP9X4PxOrzfxwdDwZ+Gy4OYNVbh2CF52ZYA/VlIQNhPTbOwAqtf2JrBISuYn0N\ne71iWxCuV553oQuCfF6n6ZiCXtG5kP6EVQnWY73iXsam05Ay2hy7CC+ItnvJdZOUpqZH+5fynAuh\nI0U0ymVoFDZgcEq0vQ0cGiiL584EsU2wqpwDEltIp2CvWVylMxf7IBtS/DcX12p0w8YcpeK5zcFz\n3/23CNtQ2Ny1wDk0bdyMhW7UXIbdXb2JjWB9H+tVFcoq7BPdZtgfsxfjsCq4raPjmTRtF8nSX6P9\nrwp+Vzg/x6ameJWm3benhokD2KJN47B2mUbs7n1ewDyQ6x79KVaYLsTatVLxXDh47ru/Ndbg2w+r\n298JuwBfHihPoT/m0AOWzsHGEZyNVSdtRPhqwV5YY+EzwNLoXOhCtCs2cnwQVs21FfY+CzGmIO7h\nMjnA707jaOy5CVV4Ju1O07+xeHDlgGgLeZd8P9Zz8Rfk2q/+kvaHQ9ezFhKPpF3f7ymHqcAPsRlj\nd41yvEyuEVhyjmXtFbLyncvS8BbOT84wQ3NjsD/g/8beR12xdqzU0x2UUKFODI3Yh6GQHsTeQ4sD\n5wB7zxS6Bh2UUY7mqrHOKY9HxzXR1pD2H/BcOEzBPjXdi411SNoaOAqbSyVEXeM0rA9xss/388Au\nAbKA7yq4fP3iPfSV9+Y57FNo8rl5gTCFQ906vj43gwz5xGMKBmB/a5PI3T2EGlPg2XpdkzxXK43E\negH9HuvXvBgrzLphn9L/Rm4Rkqx9hE29EDsG+CBQFshVwa0KmKG5LwH/hdV1/pbcB5HuwMpQoSL7\nYJm2xaak7oANcAw5iHE5TaeGGUy4apO5gX7vujxHbqBZ8/a10NWnnqoFYxOxa9NdhH9+yqYD0Dfa\nPAzCGYx9avkUa2B9nLC9ldLcAWZ9l7gz1lvjHXJdkE8GvoLVg4b0HPbHOwN7P51C+O6RI7G75Y+A\n27HG8lBVEnFVxBKajidYjP/p10MZgzVCxwPfuhJ+3Zkl2LiUlej1y1w37JNwaFOwNpB8U4psjb1p\nQ/XkCDW3UyFx41xy4GLqRVDKqDc2aOkwbN0Sye8l7LVLriz4GHAN4RZHit9TnhclK0olLPbj0f9i\nVRBLscVYphOuTzrYp86FWBXcB1gbzRvR499h0zCEqoLbC5gQ5fEyQnopVp30AjbFyLmEb3+bhI2Z\neSDaPiL8ZIB/TXkua+OAfwHfwKqe78faAedjsyiE4KlaMFaNzTcVj4oehM0pJmUUf+I8FJt6YQf8\nzFbprQrudaz9oS/2yTjeQqrD/pB7YCO2f03TNqQsdcE+7b6IdbGNtzrCD9Zr/p7uiI0tCC3f31p8\nLtR0MZ6qBWN/xLrcx++jXjSdiE/KIH4D/harQwc/hYM3HuaX8ex/sbup5eTurN7CCotQy156nsMI\n7LlJruewJ7kqnJB/h8lqwdAfgCD3XLSZqq5KcDMwHhv12xWrYgo9SZpXV2GDcPbB5pSPtxA8LxPq\nsRumh4Ignz2wHotzo+0lrIDoStglhDcB9sPmOPMwpcfTWO1BXDj0oYjCM3Q9a6XqgPXGmYMNKtkY\nGIhK5Xwmk78bXYhb7rpov4pw074XsgM27XNN4tytgbKAXeTyvXYhp6lI6hHtFwVNYVqa0uPwMHEA\nmxz0WGz8TDyF909JOQBVhUPrHUnuk8Fk8s9rJL54HnV/CXYx3h5rbP0S1gMn5KDGB8g9FzXYp/Pn\ngIODJTIXkxvvkHyt/l+YOIB1AtmR8I3QzW0LfDF6PIkiZvr1PAjOs6uwW9u/YW/Qs7EZIs8PGcqZ\nE7GeLefR9A84/oP+dYBMk/E76v4Y7G50Ojbuoi/2/grpsGbHm5KbsTWkpeTeU12wnKEbymcDnfFX\nOGyI1XQ00rQ31TqpcGidL2PD0uPbx5uxfvIqHHI2jPbdyV84hOB51P1n2PtpFVZd8iF2MfakHvsk\nGtovmx3/AmsDDCGe0uNT7BrgaUqPi7AV6e7G3uc3Ye1tqdZTUbVS67yI1ZkvjI43xho6Q09IJul1\nINejZAHhZ/+9Hlud7jjsbmsp1nh4SqEfKrPk+sjV2Aeit7C6bE96YTPshuiOfHKz4/iDT/wh6JZM\n0zQ1C7smxUssd8HaRfMNll2L7hxa50rs9n9ydHwgMDpYGt+6YGtabxc9jv94Tg2WyKzGxxrNsTOj\n/R+Bh7AecKE7OMRzGYHd0dxObmqNkJJjGaqBLxCuveHmQL83jfewv7m4cKihiI4YunNovQHYzKxg\nn1pCL+zhVbx+9AnApdinztfw2XUzpKOxu894SuVabGrxsaECOVYX7RuxQutDwk3m6HlG5HuxttG4\nym0Edq2qJ0WVlwqH1qnCBr8Nw57kR7GR0rK2eNrgF7Fb3E5YL5y9Cv1QO5Rveu5Q08B7vuDFdgH2\nJ/f3F+ouqy7arya30I8XJ0f75lVdqaq8VK3UOtdjc6fcgT3R38ZK5TML/VA7tSLaL8K6+s1Dk8rl\nk++DWqjpTzyvwgi2uuDp5Bpab8NWOPttgCxv47d79M3YHGJxG8NMwk+X3+bNpOmkhdWEnwfHq9Ox\nBsMDscbMj4DvBE3k001Y997BWMPqNYSrz/Y4BXzSSzRdh7wr4eZU8jwj8nCs8JoabXOxv0Mpowdo\nun5DHWEX9ZDK1w0bZTst2q6k6QUwS54veGAFQbLPfhfCFQ4bYJ0rJrD2jMgTsKqdzoGyTcder9gQ\niljTWm0OrTMVa+h5Brtd3BN4FltII/RC9d70xNZFriNXjRm6/7dn8fogIddH3gDrQPB1Wh4Pcju5\nKsOsnYtddONqpaOwu6xrAuWJeeseHbfzretcXiocWmd4tE829JA4NyXTNL49GW0vkXu+Qvf/9mhH\nbB6leLGaj7AV9F4Olsh4u+DFdqdphxDNiry2m7DX6zbsGnUCVgUeuht5m9cPm1TrMKyfteSX+ja2\nnXuSppMRDgeeCBPFvcHkJic8CLsLrQ0Xx60abEDl3dH2feyuUMroWKyh59Zom4sNU5e1/QA4A+hP\n08VspKl8XTFDD4Lz6gWsinJLrI7/F8C/gyYSibxI07uFPjRdj1hyvot1Y30bP8uEejQWuBBrm9kc\nm1pZY2fyi6uQfgR8r9k58b1uSZv3Ek3bGaoJ11vCu7fwsSqWd72wuYymR9u1WGO+rO1pbP3ol7GC\nFMK3zXhSF20Dw8Zon+JZIE/GBgyNwxaql7WNJ1yXTGmbtscGvH09Ot4c614rpiTjVNRbqXhV2FTK\ne2BLAoKmzyhkLPbH/Ah+pjL2pNAiUeoWLa0xhRKsW6LCoXhVWBXSDqGDVIiTo72nqYw9GV7ga+oW\n3VQlzPnkgfdxKm3aLdjANxHJTh2qSy9WB2xVwb4UOVeX7hxa53WsG93b2KIsYJ/ytNhPjj7lpaPn\nKT3Pa4C3OSocWqcu2jcfIT038yR+1UV7j1MZe1IX7VdRxEIs7VRJ6tIlHRUOrRcP31+DrY6lkcBN\n6VNeOnqe0lNdurh3EdYofSm2POEL2AAmyfE+s6cXep5ap9V16SLlNIvc3C5gUwY3v81t7zxPZeyJ\nnieRNuQRmo5e7Qk8HChLJdCnvHT0PIkbanNonfVauFtExDsVDq1zcuJxcsFuDfASERERkbZJdw7F\n0YAlEWkXVDgUpy7aa2CXiIh8riRT4YqISNuiAUsiIrIWDVgSkXZBVSCt14Hc8pcLsHYIERERERER\nEREREREREREREQAuwBaKeQGYQXnXBp+MLRIl4l7H0AFEAtoHW1ZyV2Al0AvrrlwujWhFN6kQ1aED\niATUD+uGvDI6/hgbs3IhNgX7S8CfEt8/Gfg18CzwGjZt+z3YeJfLou+pA2YCtwGvAv/AFoNqbiTw\nBPAcMAboGp2/CngFu5P5xXr970REpFW6YlVJrwO/J7cwfXIhp1uBw6LHjwBXRo/PBt7HFubpjM21\n1RMrHNZgdyUA/wecl/j53bDxMVPIFRo/xgqkXljBEttoPf5vIutFdw7Sni3F2gDOAD4C/g6cBBwM\nPAW8GD3eLvEz90X7l6NtPrag/Rxg0+hr7wJPRo9vA4Ylfr4K2Dv6N5/ACqf/BgYBi4BlWIFyNPBZ\nSf6XIq2gNgdp79Zgn+KnYNVI3wF2xAqN94CLabpe+PLEzy1PnF9D7u8p2a5QRf52hgnAN/Kc3xP4\nIjYl/HejxyKZ052DtGdDgK0Sx7ti1TqN2Jod3YCvteLfHYTdHYAVAI8mvtaI3ZXsBwyOznWNcnQF\naoEHgXOBnVvxu0VKQncO0p51A67DLsirsEkUvw00YFVG84CnW/jZQj2PXgfOAm7EGpf/0OzrC7BJ\nGu8g1zvqAmAxtj55DXbH8f0i/z8iIuJUHVY9JVLRVK0kUnoayyAiIiIiIiIiIiIiIiIiIiIiIiIi\nIiLSOv8fBX6DV6a6HTkAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x2174400>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Let's narrow it to present-tense verbs (\"VB\")\n",
"allMyPresentVerbs = [a for a in allMyVerbs if a[1]=='VB' and len(a[1])==2]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"verbText = nltk.Text(allMyPresentVerbs)\n",
"presentVerbFreq = nltk.FreqDist(allMyPresentVerbs)\n",
"presentVerbFreq.plot(10,cumulative=False)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAFaCAYAAAD1vpGPAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nX5Hu3AcAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0xa37fc50>"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Looks like a pretty typical power-law distribution of word frequency.\"Be\" seems pretty popular! \n",
"#Let's see what the graph looks like without it stretching things out. This'd be more elegant if I turned \n",
"#it into a Pandas DataFrame, but these little commands are convenient for now\n",
"noBe = [a for a in allMyPresentVerbs if a[0]!=\"be\"]\n",
"noBeText = nltk.Text(noBe)\n",
"noBeFreq = nltk.FreqDist(noBeText)\n",
"noBeFreq.plot(10,cumulative=False)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAYYAAAFaCAYAAAAafPqxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nIiIiIiIiIiIiIiIiIiIiIiIiIgn+P3O4FiG18UdVAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0xa444f60>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"#Hrm! \"maintain\", \"utilize\", and \"operate\" look about three times as popular as the verbs on the next tier down!"
],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment