basabuuka_prototyp/Prototyp/UseConjunctiveSolve.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hier wird die Bibliothek ConjunctSolve und deren Funktionen importiert. Anschließend wird die Klasse initialisiert."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ConjunctSolve import *\n",
    "\n",
    "\n",
    "\n",
    "cs = ConjunctSolve(None,None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "creating the hkl dump of Indi_ConjuDBAll\n",
      "done..\n",
      "Creating the hkl dump of Indi_ConjuDB 1\n",
      "Creating the hkl dump of Indi_ConjuDB 2\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'done'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cs.create_hklDB_from_csv('Indikativ_Conjunktiv.txt', 'None')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nun werden die Datenbanken in den Arbeitsspeicher geladen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Creating the bag of words...\n",
      "\n",
      "dumping the data to hkl format..\n",
      "done\n",
      "Creating the bag of words...\n",
      "\n",
      "dumping the data to hkl format..\n",
      "done\n"
     ]
    }
   ],
   "source": [
    "cs.load_DB_into_FASTsearch()"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "oi ist eine Klasse mit nur zwei Funktionen. Das Einlesen und schreiben von Textdateien. Die Funktion ReadDoc2Sent liest ein Textdokument ein. Der Output sind die Sätze in Listen geschrieben \n",
    "( eine Liste in python hat die Form [ 'Das', 'ist', 'ein', 'Satz.' ] )."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['Hallo', 'was', 'gehe', 'denn', 'hier', 'so'], ['Ich', 'habe', 'echt', 'keine', 'Ahnung', 'verdammt'], ['I.', 'd.', 'R.', 'gibt', 'es', 'keine', 'Abschiebungen'], ['Ende', 'd.', 'J.', 'wird', 'alles', 'problematisch'], ['Ich', 'wuerde', 'nach', 'Hause', 'gehen'], ['Er', 'wuerde', 'es', 'schaffen'], ['Wir', 'wuerden', 'fechten'], ['Er', 'wurde', 'geliebt'], ['Er', 'habe', 'es', 'sehr', 'schwer'], ['Es', 'war', 'die', 'Hose', 'des', 'Gauners'], ['Bliblablub'], ['Sie', 'ist', 'nicht', 'schön', 'heute'], ['Oleoleole'], ['Mannoman'], ['Er', 'ginge', 'nicht', 'schnell'], ['Die', 'Hühner', 'lieben', 'sich', 'nicht']] ['.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.', '.']\n"
     ]
    }
   ],
   "source": [
    "from oi import *\n",
    "oi = oi()\n",
    "\n",
    "sentences, punctuations = oi.ReadDoc2Sent('atest1')\n",
    "print(sentences, punctuations)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Die Funktion replaceConjunctives wird nun auf die Liste aus Satzlisten angewendet. Die Variable outsentences ist auch wieder eine Liste."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "outsentences = cs.replaceConjunctives(sentences)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Abschließend wird nun die Satzliste mit den ausgetauschten Konjunktiven in die Datei 'atest1out' geschrieben."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'OK'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oi.PrintSplitSentencesToTextFile(punctuations, outsentences, 'atest1out')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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