lab 3

lab/lab_03.ipynb

@@ -63,7 +63,7 @@
    "id": "diverse-sunglasses",
    "metadata": {},
    "source": [
-    "Odpowiedź:"
+    "Odpowiedź: \"metal cabinet guides\". https://translate.google.pl/"
    ]
   },
   {
@@ -115,7 +115,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "dictionary = ['program', 'application', 'applet' 'compile']"
+    "dictionary = ['program', 'application', 'applet', 'compile']"
    ]
   },
   {
@@ -133,8 +133,18 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import re\n",
+    "\n",
     "def terminology_lookup():\n",
-    "    return []"
+    "    result = []\n",
+    "    regex = ''\n",
+    "    for word in dictionary:\n",
+    "        if regex != '':\n",
+    "            regex += '|'\n",
+    "        regex += '(' + word + ')'\n",
+    "    for occurrence in re.finditer(regex, text, re.I):\n",
+    "        result.append((occurrence.group(), occurrence.start(), occurrence.end()))\n",
+    "    return result"
    ]
   },
   {
@@ -308,7 +318,12 @@
    "outputs": [],
    "source": [
     "def terminology_lookup():\n",
-    "    return []"
+    "    result = []\n",
+    "    for token in doc:\n",
+    "        if token.lemma_ in dictionary:\n",
+    "            result.append((token, token.idx, token.idx + len(token)))\n",
+    "\n",
+    "    return result"
    ]
   },
   {
@@ -343,7 +358,13 @@
    "outputs": [],
    "source": [
     "def get_nouns(text):\n",
-    "    return []"
+    "    result = []\n",
+    "    doc = nlp(text)\n",
+    "    for token in doc:\n",
+    "        if token.pos_ == 'NOUN':\n",
+    "            result.append(token)\n",
+    "\n",
+    "    return result"
    ]
   },
   {
@@ -380,7 +401,16 @@
    "outputs": [],
    "source": [
     "def extract_terms(text):\n",
-    "    return []"
+    "    result = {}\n",
+    "    doc = nlp(text)\n",
+    "    for token in doc:\n",
+    "        if token.pos_ == 'NOUN':\n",
+    "            if result.get(token.lemma_) is None:\n",
+    "                result[token.lemma_] = 1\n",
+    "            else:\n",
+    "                result[token.lemma_] += 1\n",
+    "\n",
+    "    return result"
    ]
   },
   {
@@ -399,7 +429,16 @@
    "outputs": [],
    "source": [
     "def extract_terms(text):\n",
-    "    return []"
+    "    result = {}\n",
+    "    doc = nlp(text)\n",
+    "    for token in doc:\n",
+    "        if token.pos_ in ['NOUN', 'VERB', 'ADJ']:\n",
+    "            if result.get(token.lemma_) is None:\n",
+    "                result[token.lemma_] = 1\n",
+    "            else:\n",
+    "                result[token.lemma_] += 1\n",
+    "\n",
+    "    return result"
    ]
   }
  ],
@@ -407,7 +446,7 @@
   "author": "Rafał Jaworski",
   "email": "rjawor@amu.edu.pl",
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -422,7 +461,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.9.2"
   },
   "subtitle": "3. Terminologia",
   "title": "Komputerowe wspomaganie tłumaczenia",