{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `linguistics`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext tikz_magic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `forest`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAUUAAAEUCAQAAAAWr+yEAAAABGdBTUEAALGPC/xhBQAAACBjSFJNAAB6JgAAgIQAAPoAAACA6AAAdTAAAOpgAAA6mAAAF3CculE8AAAAAmJLR0QA/4ePzL8AAAAJcEhZcwAAAJYAAACWAHFG/vAAAAAHdElNRQfiARcVJzsW1WxlAAATFElEQVR42u2d7ZmyvtOGz3mOp4H8SuAuIVsCWwJbAlsCloAlaAlaApSgJUgJUkL+H3xZ3wVFCDAnX1ZYIODlJJNMMuJQFB/4v64LoCg7VIqKJ6gUFU9QKSqeoFJUPEGlqHiCSlHxBJWi4gkqRcUTVIqKJ6gUFU9QKSqeoFJUPEGlqHjC/3ddgM8gBnu2Y+3KrsukPKa3VlFCSWUrTjJJj/sCmYmTraQYQmIyZoSEhKSykpmYrkutPMD1eCPFEV/sW2D2f4U4suN+w4rV4Zhu/m29tYoAzIH4dIcYyttVsSuZYkkrXVfpgF5L0RXkWAlOdsUs7/57CURdl1m5R6+lCCw5t4vW5Q//f911gZV79F+K5Z8UxT6UWsiuSle8pOdSdCVLjByq3bvVs1hJiflxy8qXVlqm//2KS2KigwRdcXE0OHb1rN1/XRdVeUTvpehyKYjEuFLiG9Vz4SZdl1CpRs8raOCvS8c6bQn2mCFIcQlEZ106Sg8ZgBRdwRJLot5xvxmAFIEcsE77DHvNIKTo5pTn3ThiJSMFwtNwCcVnZBgriUlErmFg/WYgUlT6zyAqaGUIqBQVT1ApKp6gUlQ8QaWoeELPpChGFs0M8clC7PtXUZqjV1IUywpDM/2HBZnE719GaYyu53lV34jYMmvwejGOtOun0u34fXRdgMoFTbiaaPr2NS1bZjoh1Y+tJ6MtMiPi58kUqleuG7AAvnXQsHt60FYUIyss380LEVzBNwUbdWG6x3spimVFwfenQsBc6X6YqwvjAV23EB5vxGzbcC3auo9uD76DrgvwsHA31sT52L0s27/1dnRrf/PWbRFDSvS5ivnmHTPg52oCq9IKnrYVxZBh+WpzkoAr+WbNSl2YbvBSimLZUPDdtn1ypftlzkpdmE7ouoVwvXXtQnR9/7FunRfgqkAp27ZclbtlUBemg80rt0UMM8I2XZUHJVEXpmU8aitKQEbAv+6FqC5MF3gjRbGsWPszGqwuTOt03ULYt848DdhSF6a9zYu2oqTETPxcB0wsCwp+fLHWw6VzKfrjqjwoYQb8+lvCYdBxW1GsP67KPVzpvliTSdh1SYZNp1KUkIy1+/K/8nO/TDWQ7MN06hI4kq4byzXK2/DcGt3Ot87aijIj4rdfGQPUhfkknUhRDAsCfnxuId4tubowH6KDtqJYMky7AWBNoS7M52hdiv1xVe6hLsyHaLnpn9ArV+Xuc6gL0/w7bfVmKVvCrh+5oWexbLoOZhvW1qrbIhb62EK88zSmv40MH+l84E9RdngTJKaMHZWi4gkqRcUTVIqKJ9TKBy2G87kexfk0pKvja/UxzxFLqVO3blMvNbkhJCCiOGTUk4ic6fHlXh6PxLJmMg5BSkhIjCFnfUiILgEJMSVzN9nP3ynl3zjeR21qd+2GOLKTz8n5vOXz4xhWrMYzo/jWglN/M6oxLMiG0snf9PZ2W9FNmTO7N0nTlUyxjCf36Bw4G50WQ3mwgq50P0y7LqKvNOC2uAnlA7GVQNT1Y7aFK8ixZ+k84vP0wISfWD13CDTjQeeEDyevD2awrwJLzu2iPZWeNJXqY4A0I8WC+5YvZFdtjYUl5Z8UxV78DCOnFfQdPtqvKFZSYn76NW3gPVzJEiOHH+ZF9eznXG8/qNeZU5VADm3Htfuv60dsnSUx0UGC2otYlc9IsTj0q40Rl0tBJMaVEo+qlfwmzVTQATCiSvgphy4dqxVydRqQohhC8uGExDbAEoiaydA6Hpqwigkw4gr5GlewxJKMqufgbd6UohhJiX1efKkjcsDqW6lDvcgcS4oBrGT7XYac4/D+8Xgo2V9IwBhxc0m19VwPndvyISQi1wicOqgUFU/QKG7FE1SKiieoFBVPUCkqnqBSfBGxsmkmwZBEstFF8hqUopgxZX6SlBXLZrqw3ZIlmYxn0sXdF9HUBKPwdPLVkDcMWZUV0djUensbVgRdP1uXm1bQNZGIDSX/ns1QEUuNcAiX80Ux7jRuKsUaiJGUGVNXZWH4gFrTqVzpfpiQykxM18/ZDSrFyoglI+S74uwUS+34bTfnCzvWfKsqxYpIwoq8RgxS8MrcPle4L5asxujEqBQrIEYWJPy4Okuu1Kyg/3ATvokkG1vorUrxKRKywfCv5rzFFyroAy7ni5KVjGYpA1ApPkVSMqauZsp0se/N9ds7MbMxOTEqxQeIlRURXy9Mozfvz/Vzc77H5MSoFO8iMRnrF7Nuha9Xz3+49ZicmM/Mg+49+4Tpr6fDNE1IEcBNJGchlt+hT+5Xq3gDCVlh+HpjgZWgucn4LuffGJwYleIVkpKxdN9vWaFGKugD+3UZB+7EqBTPkEBWRHy/N1tRguazdrkp31iy4ToxKsUTJGJFwdfbi3E2WD3/4dbui5yVJJ28nI+jUtwjRmbMmFQKdXhGo9XzKW7CN4lkQ6yoVYrAPneA5auh5ZYa85+v2Tsxm+E5MSpFjjHZX411lwSfk+KJE5MOyzaOXooSSEb8rqNywRvjz9VwU74Jh+XEjFyKErGqEpNd65oG8/ksBG7N97CcmBFLsVZMdh0+bhN3uNJN+BmOEzNaKdaMya5DS1IEcEv+wTCcmJFKcReT7V4LdXhGA1E51XGl+2bKov8hEyOUohjJdjHZH7pBi1Zxh5vyRSg9DycbnRQlZAO1Y7Lr0LoUj05M1msnprGJ6r2Ykk+KI/noHQyus6eL2P7lWe3bNiKrKFZWhC/FZNfBdpfFzy35h6GnK/CMRoqSkLFuYQH7j4RCVGXvxPRyBZ7morgLf5dBfzsmux4dJ9l1U8lZSNm3xJYjWItbQmYUww/I7zuDr6AbiclWWmDQ06wkYIF5cc6e0jLDtoqWQoXYF0bQVlT6wbCtotIjarcVxdwOqRKDBcqhV4f75/yjOHeIro6vu06v1pcSV5KihIRAjGFKcSe1rCEkZs33ZwssISExhvwvoaUEJMSUzFtIcWkICYj++lElImd6/Hovj0diWVNnObyxlrjGCGf2bHSVrJ1xaFIc8cW+FsdeCXGnT0rC9rQ858cxrFh1OzLchxL3s604B84WUBdD2Z3dcVPmzO6FaLmSKRavhuJ8LHEvpegKcuzZqqxxt8OObkL54KsrAc/irP0r8VtSlFDCW/Mqrn9tu/9qMLRzybldtJ+f2PSEnPDh8/nnznlW4pelKJFkGCA5jwKRSFKMHAPcxUomjuRy/5ssKf+kKNaDL7rgvh0JgWYm+w+4xC8O/ElMwpcrgVxSmbnf/YEA4yYga7aydstdfLFkmMv97+FKWRJLtL9SjLdRKGKJiPlpKSqoxyV+dQw6ZX50E+ZsZHmoIHdLfbhSwJ6038KdWK/2v86SmOhwJQ+DHYKj/V+7/7ouTB9K/JIUJcT8ReW5QiDaf74nical4nIpiMS4UmIPqucbT9xCH+egSvxaW/E6YL2LHCOHLh3b0KJL7xGAv8HDfSjxUylKfCMF4rUV6qJPbwlEfiTaEUNI3qdBT/9K/ESKYpnd6ArNKf8so1g6CaJ3BUssiRe+aQL0q0L2rsRPpOjWlLsU3GIID1+6K5kQHXsUE5YdVZE5YLv+ZYuRlLiFCVxDL/HT0cuYBINhRnY6KknEgpiIBanDgSVjy5YMS0yGY0N2f39DY6vbz85qvnFHS8YKx5Zsv61I/97M8bgj272Zrre+lLhC6KwEhAQ723hxxLaxfNvDskXkXQdhKc2gUdyKJ/QyHEIZIipFxRNUioonqBQVT1ApKp7QcymK9WlJdEn9GIZ8UsYH0dky625BvJ5LkRSfFv1NOgkLqYEEJE/iBTpbt7bvUlTqkZA/HJSYEnZlF1WKI0KCZ/HurmDelV1UKY6JZzYROrSLKsXR8NwmQpd2UaU4HqrYROjMLqoUR0I1mwjd2UWV4lioahOhI7uoUhwF1W0idGUXVYrjoI5NhE7sokpxBNSzidCNXVQpjoG6NhE6sIsqxcEjATG/dc9q3y6qFIdPwvylNYVatouDTiGk7G3iv1fOdIXMSdpbbEGt4tB51SZCy3ZRreKged0mArhCpu3ZRbWKw+YdmwgwxbZlF9UqDpj3bCKAK9trL6pVHDLv2kRo0S6qVRws79tEaNMuqlUcLk3YRGjNLqpVHCjN2ERozy6qVRwqTdlEaMkuqlUcJM3ZRGjLLqpVHCZN2kRoxS6qVRwgzdpEaMcuqlUcIk3bRGjBLqpVbJJp81m7XqJsPoGIK2Xy2ew8PV+LWzKmnaffVRqh51JUhoO2FRVPUCkqnqBSVDxBpah4gnbmPEDMfnnl4rqX7nhs3UVit+PdDxSN9yNWeMarUrz1LlSKjzCEBEQg/52/ZAnYAEsKik5yYR9KVhySi0tEzrRhQRpCDDGlfB2uLCkRATlLN78qRSSWNZMXBdl1Xs4PZvyMG7rOAneZX5WEDNfx84W40xyyJGybeuazu2Tn93GwulcKDCtWpxlyq2+DbSuKaSxbQMGaywQTHqXoOOCmzG+kkX+fNVNCOV0p4q7VcyVTLOkrtxmsFInev8SROfb0K5bwUC36hZtQviaDJ0wpSCrmpCl58d17LkUxEkoIp6/hsO90D8CZWIJG13tZUhKffLa3cmNLeP1liQExLaY5ygmbt4uu5BfDrPIJ68r/eYLXUpSEmBIkZXXcl5ICRhZiQaxk4kgkkhQjC0kBJGSGIZJMMolfvv0RV7IkOghKzGUFJUZSAiCRxfG/YlmJI5GUmI1EEstMMtnuSziTTTNlu6Cg2frg8Abyq0r6HiG8GIzRtXPxoMFsT5rDq2PTfHNsLm93zWMyZrvmOgZHtD+ekTZUjnTfOI+PZTCOU7eFGYu/spw278mwBOzdHjZ/ZWLzWuP+vtuyKyuuqec+3iU9OiRb7O4pb5cCS8r28A0MyW0xBMcqbwkghuTQSnM5HCvN0M0BXAmfSbTmcoo/a3PVWVES7h2Z9VlFXmLc2hVO3HT/FPG+MREw7aI/8o038KiSDiSVVFIi1u4/92I72ud+xTUlG8lZk++/yhBDeWwnFkc/to0owTmpBK4Qe90SchMmICHXP4T84hoJEXOouwqsD7i1TEkkdZOrQ8WNfbXx2Cq6km+mGBIy2f0az7/oSfMBog9YsrPC0XV8pBhJZUVA8bjB7gqWxDtn5kM2MdiX9CO4CWuSD3QXAV5bRQlg92uThFRytyQnoagXKnvzV/wCrpAlsdyO086Ab1eCPLvMnEws9jM/IjGE5O4l/7Uiv6yYfWZ8yWOruBtyg33nrQWXU55axkoeaHMdKUsMs+upRhJiz1t+crdvz+UUxASfGDFml0C3kR/e3fKvmX4q7bHPUuTMBdhVOxPigysjycPqsNyPtrz5C/7rwXRLCngioufdwHPiT7RtxUhKzHfjNvHip+wmr/UaVqDrLpuH3QgzUiJC0pNOkIgVCSEp8a7Dhy1bMiwxGY7NrmsBy5aElPCNEuyu7ljtO4vSXUcF6XF/hnXsujAISTGsWJA69qXZkp2PC2MO3VFvvRtLxmp//d22In23e+jmXRzu/BkIWFyUwjXRdebx3BYxrgSxmMvgI7GYKi1GCT8TPHXnXmUViySGpJnW69DwWIrDQgyBW4MkLNv6efQLv9uKQyJhBWIwKsTbeNyZMzByrISE/evabgutoFtDDFaXD7iPSlHxBG0rKp6gUhwAErZfuUkoWbNXVCkqnqBSVDxBpah4gkpR8QSVouIJKkXFE1SKiieoFBVPUCkqnqBSVDxBpah4gkpR8QSVouIJKkXFE1SKiieoFBVPUCkqnqBSVDxBpah4gkpR8QSVouIJKkXFE1SKiieoFBVPUCkqnqBSVDxBpah4gkpR8QRd6lN5CZfT8FqRahUVT1ApKp6gUlQ8QaWoeIKuxa14glpFxRO0M0fZIwYL1dLDfQK1isoBQ8iC9P0LvYZKUdnjiucJdi8zcFfKyF0RlaJSGTHn+a4vP7+HSlGpTvTk81uoFHuPWAmlQet0cmUjoYTHTwHJ2dGLz9dn7PaAGDHP76ZS7DViJCUAEllU+bprXTslBYwsxIKEzDBEkkkm8fXnG2fEshJHIikxG3luQZ1uPd6YscA4HGTMGrheRrb/K2Gz/ytke7xHevHfJ59vnrEiwxLgSJ7dW61ivykJ2VnDNQ16s2JIWO7+djk8v/adM0qMW7vCiXuaB1u7uHuNmzABCQHb6IVDDOWx1VfwvPK/d0blqEa1ir1GjKSyIqB41iNYk3NhT5h/4IwL1Cr2mwz4diVIs9fNSSjcHYsmqZtcfX54RhXUKvYYCbFMXXmyp6FhO5dTntq5i1GVy+raPD2jAirFodB0z+KE+NBbKcm++i/3dzmI//zzrTNqoBV0j3G5TJnJzo/+JZAFxetXE0uKBcmYuLWbS8lClqwJKfbROlMySTBHV+Ts8+UZEhMRYsWydBVajho623sk/Fxgl1jMeftPQgpXPPh8dUble6kUFT/QtqLiCSpFxRNUioonqBQVT1ApKp6gUlQ8QaWoeIJKUfEElaLiCSpFxRNUioonqBQVT1ApKp7wP0VqLcIMAV/LAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDE4LTAxLTIzVDIxOjM5OjU5KzAwOjAwbVvG9gAAACV0RVh0ZGF0ZTptb2RpZnkAMjAxOC0wMS0yM1QyMTozOTo1OSswMDowMBwGfkoAAAAUdEVYdHBkZjpWZXJzaW9uAFBERi0xLjUgBVwLOQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%tikz -p forest --no-wrap -s 0.5\n",
    "\\begin{forest}\n",
    " [VP\n",
    " [DP[John]]\n",
    " [V’\n",
    " [V[sent]]\n",
    " [DP[Mary]]\n",
    " [DP[D[a]][NP[letter]]]\n",
    " ]\n",
    " ]\n",
    "\\end{forest}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%tikz -p forest --no-wrap -s 0.5\n",
    "\\begin{forest}\n",
    " [VP, for tree={parent anchor=south, child anchor=north}\n",
    " [DP[John,tier=word]]\n",
    " [V’\n",
    " [V[sent,tier=word]]\n",
    " [DP[Mary,tier=word]]\n",
    " [DP[D[a,tier=word]][NP[letter,tier=word]]]\n",
    " ]\n",
    " ]\n",
    "\\end{forest}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `tikz-dependency`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%tikz -p tikz-dependency --no-wrap -s 0.5\n",
    "\\begin{dependency}\n",
    "\\begin{deptext}\n",
    "My \\& dog \\& also \\& likes \\& eating \\& parsnips \\\\\n",
    "\\end{deptext}\n",
    "\\depedge{2}{1}{poss}\n",
    "\\depedge{4}{2}{nsubj}\n",
    "\\depedge{4}{3}{advmod}\n",
    "\\depedge{4}{5}{xcomp}\n",
    "\\depedge{5}{6}{dobj}\n",
    "\\end{dependency}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%tikz -p tikz-dependency --no-wrap -s 0.5\n",
    "\\begin{dependency}[theme = simple]\n",
    "\\begin{deptext}[column sep=1em]\n",
    "A \\& hearing \\& is \\& scheduled \\& on \\& the \\& issue \\& today \\& . \\\\\n",
    "\\end{deptext}\n",
    "\\deproot{3}{ROOT}\n",
    "\\depedge{2}{1}{ATT}\n",
    "\\depedge{2}{5}{ATT}\n",
    "\\depedge{3}{2}{SBJ}\n",
    "\\depedge{3}{9}{PU}\n",
    "\\depedge{3}{4}{VC}\n",
    "\\depedge{4}{8}{TMP}\n",
    "\\depedge{5}{7}{PC}\n",
    "\\depedge[arc angle=50]{7}{6}{ATT}\n",
    "\\end{dependency}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## `nltk`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import nltk"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(S\n",
      "  (NP the/DT little/JJ yellow/JJ dog/NN)\n",
      "  barked/VBD\n",
      "  at/IN\n",
      "  (NP the/DT cat/NN))\n"
     ]
    }
   ],
   "source": [
    "sentence = [(\"the\", \"DT\"), (\"little\", \"JJ\"), (\"yellow\", \"JJ\"),\n",
    "            (\"dog\", \"NN\"), (\"barked\", \"VBD\"), (\"at\", \"IN\"),  (\"the\", \"DT\"), (\"cat\", \"NN\")]\n",
    "\n",
    "grammar = \"NP: {<DT>?<JJ>*<NN>}\"\n",
    "\n",
    "cp = nltk.RegexpParser(grammar)\n",
    "result = cp.parse(sentence)\n",
    "\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#issue - https://github.com/nltk/nltk/issues/1765\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}