diff --git a/part11.ipynb b/part11.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import spacy"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#spacy pipeline\n",
+    "nlp = spacy.load('en_core_web_md')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Python PROPN\n",
+      "is AUX\n",
+      "n't PART\n",
+      "just ADV\n",
+      "a DET\n",
+      "language NOUN\n",
+      ". PUNCT\n",
+      "It PRON\n",
+      "'s AUX\n",
+      "a DET\n",
+      "framework NOUN\n",
+      "! PUNCT\n"
+     ]
+    }
+   ],
+   "source": [
+    "doc = nlp(\"Python isn't just a language. It's a framework!\")\n",
+    "for token in doc:\n",
+    "    print(token, token.pos_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "text     lemma    pos     ent      shape   punct   morph                         \n",
+      "------   ------   -----   ------   -----   -----   ------------------------------\n",
+      "Hi       hi       INTJ             Xx      False                                 \n",
+      ",        ,        PUNCT            ,       True    PunctType=Comm                \n",
+      "my       my       PRON             xx      False   Number=Sing|Person=1|Poss=Yes|PronType=Prs\n",
+      "name     name     NOUN             xxxx    False   Number=Sing                   \n",
+      "is       be       AUX              xx      False   Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin\n",
+      "Kevin    Kevin    PROPN   PERSON   Xxxxx   False   Number=Sing                   \n",
+      ".        .        PUNCT            .       True    PunctType=Peri                \n",
+      "I        I        PRON             X       False   Case=Nom|Number=Sing|Person=1|PronType=Prs\n",
+      "like     like     VERB             xxxx    False   Tense=Pres|VerbForm=Fin       \n",
+      "to       to       PART             xx      False                                 \n",
+      "write    write    VERB             xxxx    False   VerbForm=Inf                  \n",
+      "Python   Python   PROPN            Xxxxx   False   Number=Sing                   \n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "from wasabi import table\n",
+    "\n",
+    "def text_to_doctable(txt):\n",
+    "    doc = nlp(txt)\n",
+    "    header = (\"text\", \"lemma\", \"pos\", \"ent\", \"shape\", \"punct\", \"morph\")\n",
+    "    data = [(tok.text, tok.lemma_, tok.pos_, tok.ent_type_, tok.shape_, tok.is_punct, tok.morph) for tok in doc]\n",
+    "    formatted = table(data, header=header, divider=True)\n",
+    "    print(formatted)\n",
+    "\n",
+    "text_to_doctable(\"Hi, my name is Kevin. I like to write Python\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "torch",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}