gdetrez/igf.ipynb

## igf.ipynb
{
 "metadata": {
  "name": "",
  "signature": "sha256:07aa0c139239f87bd418f861dc4c9735bb7947dd0df8b1647d327b8cca8f662d"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "iGF notebook demo"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This is a short demonstration of the GF kernel for iPython. It works just like the regular GF shell but a bit more fancy. It allows you to use the gf shell in your browser, annotate you session with titles and *rich* **text** [formatting](https://en.wikipedia.org/wiki/Markdown), and share it on [nbviewer](http://nbviewer.ipython.org/).\n",
      "\n",
      "You can even include images: <img src=\"http://www.grammaticalframework.org/doc/Logos/gf1.svg\" alt=\"GF Logo\"/>"
     ]
    },
    {
     "cell_type": "heading",
     "level": 2,
     "metadata": {},
     "source": [
      "Examples"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "First, let's import some grammars from the [GF tutorial](http://www.grammaticalframework.org/doc/tutorial/gf-tutorial.html): "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "i HelloEng.gf HelloIta.gf HelloFin.gf"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "\n",
        "Languages: HelloEng HelloFin HelloIta"
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can do anything here we could do in the GF shell, like generating trees:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "gt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "Hello Friends\n",
        "Hello Mum\n",
        "Hello World\n"
       ]
      }
     ],
     "prompt_number": 9
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Linearizing them"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "gt | l"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<i>hello friends</i><br/>\n",
        "<i>terve yst\u00e4v\u00e4t</i><br/>\n",
        "<i>ciao amici</i><br/>\n",
        "<i>hello mum</i><br/>\n",
        "<i>terve \u00e4iti</i><br/>\n",
        "<i>ciao mamma</i><br/>\n",
        "<i>hello world</i><br/>\n",
        "<i>terve maailma</i><br/>\n",
        "<i>ciao mondo</i><br/>\n"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "hello friends\n",
        "terve yst\u00e4v\u00e4t\n",
        "ciao amici\n",
        "hello mum\n",
        "terve \u00e4iti\n",
        "ciao mamma\n",
        "hello world\n",
        "terve maailma\n",
        "ciao mondo\n"
       ]
      }
     ],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Or parsing a string"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "p \"hello world\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "The parser failed at token \"hello\""
       ]
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "Hello World\n"
       ]
      }
     ],
     "prompt_number": 11
    },
    {
     "cell_type": "heading",
     "level": 3,
     "metadata": {},
     "source": [
      "Graphs"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "But what's really cool is that we can also vizualize graph directly in the session:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pt Hello World | vt"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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",
       "text": [
        "graph {\n",
        "n0[label = \"Hello : Greeting\", style = \"solid\", shape = \"plaintext\"] ;\n",
        "n0_0[label = \"World : Recipient\", style = \"solid\", shape = \"plaintext\"] ;\n",
        "n0 -- n0_0 [style = \"solid\"];\n",
        "}\n"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pt Hello World | vp"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": "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",
       "text": [
        "graph {\n",
        "edge[style=\"solid\"]; node[shape=\"plaintext\"]; \n",
        "subgraph {rank=same;\n",
        "  n1[label=\"Greeting\"]; \n",
        "}\n",
        " \n",
        "subgraph {rank=same;\n",
        "  n0[label=\"Recipient\"]; \n",
        "}\n",
        "n1 -- n0;\n",
        " \n",
        "edge[style=\"dashed\"]; node[shape=\"plaintext\"]; \n",
        "subgraph {rank=same;\n",
        "  n100000[label=\"hello\"]; \n",
        "  n100001[label=\"world\"]; \n",
        "  edge[style=\"invis\"]; \n",
        "  n100000  --  n100001 ;\n",
        "}\n",
        "n1 -- n100000;\n",
        "n0 -- n100001;\n",
        " \n",
        "}\n"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "pt Hello World | aw"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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",
       "text": [
        "digraph {\n",
        "  rankdir=LR ;\n",
        "  node [shape = record] ;\n",
        "   \n",
        "  struct0[label = \"<n0>hello | <n1>world\"] ;\n",
        "  struct0:n0:e -> struct1:n0:w ;\n",
        "  struct0:n1:e -> struct1:n1:w ;\n",
        "  struct1[label = \"<n0>terve | <n1>maailma\"] ;\n",
        "  struct1:n0:e -> struct2:n0:w ;\n",
        "  struct1:n1:e -> struct2:n1:w ;\n",
        "  struct2[label = \"<n0>ciao | <n1>mondo\"] ;\n",
        "}\n"
       ]
      }
     ],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data"
      }
     ],
     "prompt_number": 15
    }
   ],
   "metadata": {}
  }
 ]
}