diff --git a/lab/lab_01.ipynb b/lab/lab_01.ipynb
index 0ffe833..1e612e2 100644
--- a/lab/lab_01.ipynb
+++ b/lab/lab_01.ipynb
@@ -52,7 +52,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 77,
    "id": "narrow-romantic",
    "metadata": {},
    "outputs": [],
@@ -71,7 +71,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 78,
    "id": "indonesian-electron",
    "metadata": {},
    "outputs": [],
@@ -82,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 79,
    "id": "compact-trinidad",
    "metadata": {},
    "outputs": [
@@ -92,7 +92,7 @@
        "['Press the ENTER button']"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 80,
    "id": "exposed-daniel",
    "metadata": {},
    "outputs": [],
@@ -139,7 +139,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 81,
    "id": "serial-velvet",
    "metadata": {},
    "outputs": [
@@ -149,7 +149,7 @@
        "['Press the ENTER button', 'Press the ENTER key']"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -176,7 +176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 82,
    "id": "every-gibson",
    "metadata": {},
    "outputs": [
@@ -186,7 +186,7 @@
        "[]"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -213,13 +213,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 83,
    "id": "protected-rings",
    "metadata": {},
    "outputs": [],
    "source": [
     "def tm_lookup(sentence):\n",
-    "    return ''"
+    "    lowerSentence = sentence.lower()\n",
+    "\n",
+    "    return [entry[1] for entry in translation_memory if entry[0].lower() == lowerSentence]"
    ]
   },
   {
@@ -232,17 +234,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "id": "severe-alloy",
+   "execution_count": 84,
+   "id": "60a6c976",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "''"
+       "[]"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -261,13 +263,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 85,
    "id": "structural-diesel",
    "metadata": {},
    "outputs": [],
    "source": [
+    "import string\n",
+    "\n",
+    "def prepare_sentence(sentence):\n",
+    "    translator = str.maketrans('', '', string.punctuation)\n",
+    "\n",
+    "    return sentence.lower().translate(translator)\n",
+    "\n",
     "def tm_lookup(sentence):\n",
-    "    return ''"
+    "    lowerSentence = prepare_sentence(sentence)\n",
+    "    return [entry[1] for entry in translation_memory if prepare_sentence(entry[0]) == lowerSentence]"
    ]
   },
   {
@@ -280,17 +290,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 86,
    "id": "brief-senegal",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "''"
+       "[]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -317,13 +327,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 87,
    "id": "mathematical-customs",
    "metadata": {},
    "outputs": [],
    "source": [
+    "import string\n",
+    "\n",
+    "def prepare_sentence(sentence):\n",
+    "    translator = str.maketrans('', '', string.punctuation)\n",
+    "\n",
+    "    return sentence.lower().translate(translator)\n",
+    "\n",
+    "def sentence_similar(sentence1, sentence2):\n",
+    "    words1 = sentence1.split()\n",
+    "    words2 = sentence2.split()\n",
+    "    \n",
+    "    min_length = min(len(words1), len(words2))\n",
+    "    \n",
+    "    matched_count = 0\n",
+    "    for i in range(min_length):\n",
+    "        if prepare_sentence(words1[i]) == prepare_sentence(words2[i]):\n",
+    "            matched_count += 1\n",
+    "    \n",
+    "    return {\n",
+    "        \"count\": matched_count,\n",
+    "        \"length\": min_length\n",
+    "    }\n",
+    "\n",
     "def tm_lookup(sentence):\n",
-    "    return ''"
+    "    collection = []\n",
+    "\n",
+    "    for entry in translation_memory:\n",
+    "        similarity = sentence_similar(sentence, entry[0])\n",
+    "        if similarity[\"length\"] - similarity[\"count\"] <= 1:\n",
+    "            collection.append(entry[1])\n",
+    "\n",
+    "    return collection\n"
    ]
   },
   {
@@ -344,7 +384,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 88,
    "id": "humanitarian-wrong",
    "metadata": {},
    "outputs": [],
@@ -362,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 89,
    "id": "located-perception",
    "metadata": {},
    "outputs": [],
@@ -374,7 +414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 90,
    "id": "advised-casting",
    "metadata": {},
    "outputs": [
@@ -384,7 +424,7 @@
        "[('przycisk', 'button'), ('drukarka', 'printer')]"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -406,7 +446,7 @@
    "id": "defensive-fifteen",
    "metadata": {},
    "source": [
-    "Odpowiedź:"
+    "Odpowiedź: Jest to n przeszukiwań po liście m-elementowej co daje złozonosc O(n*m)"
    ]
   },
   {
@@ -419,13 +459,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 91,
    "id": "original-tunisia",
    "metadata": {},
    "outputs": [],
    "source": [
+    "def prepare_sentence(sentence):\n",
+    "    return sentence.lower()\n",
+    "\n",
     "def glossary_lookup(sentence):\n",
-    "    return ''"
+    "    sentence_words = sentence.split()\n",
+    "    lowered_words = list(map(prepare_sentence, sentence_words))\n",
+    "\n",
+    "    return [entry for entry in glossary if prepare_sentence(entry[0]) in lowered_words]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "id": "df948bb3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('komputer', 'computer')]"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glossary_lookup(\"Komputer\")"
    ]
   },
   {
@@ -438,13 +505,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 93,
    "id": "adolescent-semiconductor",
    "metadata": {},
    "outputs": [],
    "source": [
+    "def prepare_dictionary(sentences):\n",
+    "    dict = {}\n",
+    "\n",
+    "    for entry in sentences:\n",
+    "        dict[entry[0].lower()] = entry\n",
+    "\n",
+    "    return dict\n",
+    "\n",
+    "glossary_dict = prepare_dictionary(glossary)\n",
+    "\n",
     "def glossary_lookup(sentence):\n",
-    "    return ''"
+    "    return glossary_dict[sentence.lower()]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "98e9ff56",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('komputer', 'computer')"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glossary_lookup(\"Komputer\")"
    ]
   }
  ],
@@ -467,7 +565,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.7.9"
   },
   "subtitle": "1. Podstawowe techniki wspomagania tłumaczenia",
   "title": "Komputerowe wspomaganie tłumaczenia",
diff --git a/lab/lab_02.ipynb b/lab/lab_02.ipynb
index 10c2003..d4490ae 100644
--- a/lab/lab_02.ipynb
+++ b/lab/lab_02.ipynb
@@ -57,7 +57,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 92,
    "id": "confident-prison",
    "metadata": {},
    "outputs": [],
@@ -80,15 +80,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 93,
    "id": "continental-submission",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def ice_lookup(sentence, prev_sentence, next_sentence):\n",
+    "def prepare_dictionary(sentences):\n",
+    "    dict = {}\n",
+    "\n",
+    "    for entry in sentences:\n",
+    "        dict[entry[0].lower()] = entry\n",
+    "\n",
+    "    return dict\n",
+    "\n",
+    "memory_dict = prepare_dictionary(translation_memory)\n",
+    "\n",
+    "def ice_lookup(input, prev_sentence, next_sentence): \n",
+    "    sentence = input.lower()\n",
+    "\n",
+    "    if prev_sentence.lower() in memory_dict and next_sentence.lower() in memory_dict and sentence in memory_dict:\n",
+    "        return memory_dict[sentence]\n",
+    "\n",
     "    return []"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "id": "bdc1df76",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "('Wciśnij przycisk Enter', 'Press the ENTER button')"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ice_lookup(\"Wciśnij przycisk Enter\", \"Sprawdź ustawienia sieciowe\", \"Drukarka jest wyłączona\")"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "figured-server",
@@ -119,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 95,
    "id": "fourth-pillow",
    "metadata": {},
    "outputs": [],
@@ -141,7 +177,11 @@
    "id": "graduate-theorem",
    "metadata": {},
    "source": [
-    "Odpowiedź:"
+    "Odpowiedź: Nie, nie jest poprawna. Cechy:\n",
+    "- nieujemna (abs > 0)\n",
+    "- identyfikacja nie jest spelniona -> moga miec taka sama dlugosc, a byc inne\n",
+    "- symetryczna - wynik z wartosci bezwglednej\n",
+    "- nierownosc trojkata nie jest spelniona"
    ]
   },
   {
@@ -154,7 +194,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 96,
    "id": "continued-christopher",
    "metadata": {},
    "outputs": [],
@@ -179,7 +219,7 @@
    "id": "metallic-leave",
    "metadata": {},
    "source": [
-    "Odpowiedź:"
+    "Odpowiedź: z punktu widzenia cech, wszystkie cechy sa spelnione, jednak funkcja sama w sobie jest bezuyteczna poprzez to, ze wartosci sa stale. "
    ]
   },
   {
@@ -206,7 +246,10 @@
    "id": "bibliographic-stopping",
    "metadata": {},
    "source": [
-    "Odpowiedź:"
+    "Odpowiedź: Tak, poniewaz spelnia cechy: \n",
+    "- nieujemnosci - zawsze dodatni lub zero gdy a i b jest rowny sobie\n",
+    "- symetria - dystans od a i b jest taki sam jak b i a\n",
+    "- nierownosc trojkata - dystans od ciągu A do C przez B jest zawsze mniejszy lub równy sumie dystansów od A do B i od B do C"
    ]
   },
   {
@@ -223,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 97,
    "id": "secondary-wrist",
    "metadata": {},
    "outputs": [
@@ -233,7 +276,7 @@
        "2"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -254,7 +297,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 98,
    "id": "associate-tuner",
    "metadata": {},
    "outputs": [],
@@ -273,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 99,
    "id": "focal-pathology",
    "metadata": {},
    "outputs": [
@@ -283,7 +326,7 @@
        "0.9166666666666666"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -294,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 100,
    "id": "roman-ceiling",
    "metadata": {},
    "outputs": [
@@ -304,7 +347,7 @@
        "0.9428571428571428"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 100,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -315,7 +358,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 101,
    "id": "invisible-cambodia",
    "metadata": {},
    "outputs": [
@@ -325,7 +368,7 @@
        "0.631578947368421"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 101,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -344,13 +387,61 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 102,
    "id": "genetic-cradle",
    "metadata": {},
    "outputs": [],
    "source": [
     "def fuzzy_lookup(sentence, threshold):\n",
-    "    return []"
+    "    col = []\n",
+    "\n",
+    "    for entry in translation_memory:\n",
+    "        if (levenshtein_similarity(entry[0], sentence)) >= threshold:\n",
+    "            col.append(entry)\n",
+    "            \n",
+    "    return col"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 103,
+   "id": "57fb39b9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[]"
+      ]
+     },
+     "execution_count": 103,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fuzzy_lookup('Spróbuj wyłączyć i włączyć komputer', 0.7)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 104,
+   "id": "94e1b3be",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('Wciśnij przycisk Enter', 'Press the ENTER button')]"
+      ]
+     },
+     "execution_count": 104,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "fuzzy_lookup('Wciśnij przycisk escape', 0.7)"
    ]
   }
  ],
@@ -373,7 +464,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.7.9"
   },
   "subtitle": "2. Zaawansowane użycie pamięci tłumaczeń",
   "title": "Komputerowe wspomaganie tłumaczenia",
diff --git a/lab/lab_03.ipynb b/lab/lab_03.ipynb
index 5707f0d..4b3b331 100644
--- a/lab/lab_03.ipynb
+++ b/lab/lab_03.ipynb
@@ -86,7 +86,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 31,
    "id": "loving-prince",
    "metadata": {},
    "outputs": [],
@@ -110,12 +110,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 32,
    "id": "bound-auction",
    "metadata": {},
    "outputs": [],
    "source": [
-    "dictionary = ['program', 'application', 'applet' 'compile']"
+    "dictionary = ['program', 'application', 'applet', 'compile']"
    ]
   },
   {
@@ -128,13 +128,47 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 33,
    "id": "cognitive-cedar",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def terminology_lookup():\n",
-    "    return []"
+    "import re\n",
+    "\n",
+    "def terminology_lookup(txt, labels):\n",
+    "    results = []\n",
+    "\n",
+    "    for label in labels:\n",
+    "        results.append((\n",
+    "            label,\n",
+    "             [(m.start(), m.end() - 1) for m in re.finditer(label, txt)]\n",
+    "        ))\n",
+    "\n",
+    "    return results"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "7cc3ad1f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('program', [(14, 20), (291, 297), (468, 474), (516, 522), (533, 539)]),\n",
+       " ('application', [(80, 90), (164, 174), (322, 332)]),\n",
+       " ('applet', [(302, 307)]),\n",
+       " ('compile', [(56, 62)])]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "terminology_lookup(text, dictionary)"
    ]
   },
   {
@@ -161,7 +195,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 35,
    "id": "tribal-attention",
    "metadata": {},
    "outputs": [
@@ -205,7 +239,7 @@
       "IDE\n",
       ",\n",
       "see\n",
-      "Running\n",
+      "run\n",
       "Tutorial\n",
       "Examples\n",
       "in\n",
@@ -218,7 +252,7 @@
       "work\n",
       "for\n",
       "all\n",
-      "swing\n",
+      "Swing\n",
       "program\n",
       "—\n",
       "applet\n",
@@ -232,7 +266,7 @@
       "be\n",
       "the\n",
       "step\n",
-      "-PRON-\n",
+      "you\n",
       "need\n",
       "to\n",
       "follow\n",
@@ -248,7 +282,7 @@
       "platform\n",
       ",\n",
       "if\n",
-      "-PRON-\n",
+      "you\n",
       "have\n",
       "not\n",
       "already\n",
@@ -260,7 +294,7 @@
       "program\n",
       "that\n",
       "use\n",
-      "Swing\n",
+      "swing\n",
       "component\n",
       ".\n",
       "compile\n",
@@ -302,7 +336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 36,
    "id": "surgical-demonstration",
    "metadata": {},
    "outputs": [],
@@ -337,7 +371,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 37,
    "id": "superb-butterfly",
    "metadata": {},
    "outputs": [],
@@ -356,7 +390,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 38,
    "id": "acting-tolerance",
    "metadata": {},
    "outputs": [],
@@ -374,7 +408,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 39,
    "id": "eight-redhead",
    "metadata": {},
    "outputs": [],
@@ -393,7 +427,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 40,
    "id": "monetary-mambo",
    "metadata": {},
    "outputs": [],
@@ -422,7 +456,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.7.9"
   },
   "subtitle": "3. Terminologia",
   "title": "Komputerowe wspomaganie tłumaczenia",