Create word2word.ipynb

Author: TarrySingh

Projects/Word2Word/word2word.ipynb

@@ -0,0 +1,174 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from word2word import Word2word"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## French"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['pomme', 'pommes', 'pommier', 'tartes', 'fleurs']\n"
+     ]
+    }
+   ],
+   "source": [
+    "en2fr = Word2word(\"en\", \"fr\")\n",
+    "print(en2fr(\"apple\"))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Dutch\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['huis', 'thuis', 'wonen']\n"
+     ]
+    }
+   ],
+   "source": [
+    "en2nl = Word2word(\"en\", \"nl\")\n",
+    "print(en2nl(\"house\",n_best=3))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Hindi"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['बुद्धिमान', 'था...', 'रिच्ची', 'बुद्धिमानी', 'प्रतीयमान']\n"
+     ]
+    }
+   ],
+   "source": [
+    "en2hi = Word2word(\"en\", \"hi\")\n",
+    "print(en2hi(\"intelligent\", n_best = 5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Finnish"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "en2fi = Word2word(\"en\", \"fi\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['Minusta', 'hyviä', 'se', 'on']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(en2fi(\"artificial\", n_best = 5))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Chineze"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['愚蠢', '哑巴', '哑', '聋', '蠢蛋']\n"
+     ]
+    }
+   ],
+   "source": [
+    "en2cn = Word2word(\"en\", \"zh_cn\")\n",
+    "print(en2cn(\"dumb\", n_best = 5))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}