rnn_attention_wp_2.ipynb

{
 "cells": [
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   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
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    {
     "data": {
      "text/plain": [
       "[('<start>', 1),\n",
       " ('<end>', 2),\n",
       " ('.', 3),\n",
       " ('tom', 4),\n",
       " ('?', 5),\n",
       " ('¿', 6),\n",
       " ('es', 7),\n",
       " ('no', 8)]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''\n",
    " Let's see the first and last 8 tokens in the dictionary. \n",
    "'''\n",
    "list(inp_lang.word_index.items())[:8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('caminamos', 9406),\n",
       " ('divertir', 9407),\n",
       " ('divertiremos', 9408),\n",
       " ('divertirnos', 9409),\n",
       " ('decepcionaremos', 9410),\n",
       " ('viviremos', 9411),\n",
       " ('reyes', 9412),\n",
       " ('perderemos', 9413)]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(inp_lang.word_index.items())[-8:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 74, 514, 19, 237, 3, 2]\n"
     ]
    }
   ],
   "source": [
    "'''\n",
    " Let's conversely encode a Spanish sentence into integer codes. \n",
    " For the neural net which we are going to make, \"Todo sobre mi madre.\" is comprehensed as \n",
    " [1, 74, 514, 19, 237, 3, 2]\n",
    "''' \n",
    "sentence = preprocess_sentence('Todo sobre mi madre.')\n",
    "inputs = [inp_lang.word_index[i] for i in sentence.split(' ')]\n",
    "print(inputs)"
   ]
  }
 ],
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