diff --git a/text.ipynb b/text.ipynb
index f1c61e175..aeebf8ecd 100644
--- a/text.ipynb
+++ b/text.ipynb
@@ -18,7 +18,8 @@
"outputs": [],
"source": [
"from text import *\n",
- "from utils import open_data"
+ "from utils import open_data\n",
+ "from notebook import psource"
]
},
{
@@ -55,46 +56,11 @@
},
{
"cell_type": "code",
- "execution_count": 2,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "%psource UnigramWordModel"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "%psource NgramWordModel"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {
- "collapsed": true
- },
- "outputs": [],
- "source": [
- "%psource UnigramCharModel"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": null,
+ "metadata": {},
"outputs": [],
"source": [
- "%psource NgramCharModel"
+ "psource(UnigramWordModel, NgramWordModel, UnigramCharModel, NgramCharModel)"
]
},
{
@@ -117,7 +83,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 2,
"metadata": {},
"outputs": [
{
@@ -156,18 +122,18 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "Conditional Probabilities Table: {'myself': 1, 'to': 2, 'at': 2, 'pleased': 1, 'considered': 1, 'will': 1, 'intoxicated': 1, 'glad': 1, 'certain': 2, 'in': 2, 'now': 2, 'sitting': 1, 'unusually': 1, 'approaching': 1, 'by': 1, 'covered': 1, 'standing': 1, 'allowed': 1, 'surprised': 1, 'keenly': 1, 'afraid': 1, 'once': 2, 'crushed': 1, 'not': 4, 'rapt': 1, 'simulating': 1, 'rapidly': 1, 'quite': 1, 'describing': 1, 'wearied': 1} \n",
+ "Conditional Probabilities Table: {'now': 2, 'glad': 1, 'keenly': 1, 'considered': 1, 'once': 2, 'not': 4, 'in': 2, 'by': 1, 'simulating': 1, 'intoxicated': 1, 'wearied': 1, 'quite': 1, 'certain': 2, 'sitting': 1, 'to': 2, 'rapidly': 1, 'will': 1, 'describing': 1, 'allowed': 1, 'at': 2, 'afraid': 1, 'covered': 1, 'approaching': 1, 'standing': 1, 'myself': 1, 'surprised': 1, 'unusually': 1, 'rapt': 1, 'pleased': 1, 'crushed': 1} \n",
"\n",
"Conditional Probability of 'once' give 'i was': 0.05128205128205128 \n",
"\n",
- "Next word after 'i was': not\n"
+ "Next word after 'i was': wearied\n"
]
}
],
@@ -198,7 +164,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -246,16 +212,16 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "not it of before most regions multitudes the a three\n",
- "the inhabitants of so also refers to the cube with\n",
- "the service of education waxed daily more numerous than the\n"
+ "hearing as inside is confined to conduct by the duties\n",
+ "all and of voice being in a day of the\n",
+ "party they are stirred to mutual warfare and perish by\n"
]
}
],
@@ -283,23 +249,22 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
- "it again stealing away through the ranks of his nephew but he laughed most immoderately\n",
- "exclaiming that he henceforth exchanged them for the artist s pencil how great and glorious\n",
- "compound now for nothing worse but however all that is quite out of the question\n",
- "accordance with precedent and for the sake of secrecy he must condemn him to perpetual\n"
+ "leave them at cleveland this christmas now pray do not ask you to relate or\n",
+ "meaning and both of us sprang forward in the direction and no sooner had they\n",
+ "palmer though very unwilling to go as well from real humanity and good nature as\n",
+ "time about what they should do and they agreed he should take orders directly and\n"
]
}
],
"source": [
"data = open_data(\"EN-text/flatland.txt\").read()\n",
- "data += open_data(\"EN-text/gutenberg.txt\").read()\n",
"data += open_data(\"EN-text/sense.txt\").read()\n",
"\n",
"wordseq = words(data)\n",
@@ -344,13 +309,11 @@
},
{
"cell_type": "code",
- "execution_count": 3,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": null,
+ "metadata": {},
"outputs": [],
"source": [
- "%psource viterbi_segment"
+ "psource(viterbi_segment)"
]
},
{
@@ -373,7 +336,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -388,7 +351,7 @@
"source": [
"flatland = open_data(\"EN-text/flatland.txt\").read()\n",
"wordseq = words(flatland)\n",
- "P = UnigramTextModel(wordseq)\n",
+ "P = UnigramWordModel(wordseq)\n",
"text = \"itiseasytoreadwordswithoutspaces\"\n",
"\n",
"s, p = viterbi_segment(text,P)\n",
@@ -447,7 +410,7 @@
},
"outputs": [],
"source": [
- "%psource IRSystem"
+ "psource(IRSystem)"
]
},
{
@@ -490,7 +453,7 @@
},
"outputs": [],
"source": [
- "%psource UnixConsultant"
+ "psource(UnixConsultant)"
]
},
{
@@ -504,7 +467,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -533,7 +496,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -628,7 +591,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -656,7 +619,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -748,13 +711,11 @@
},
{
"cell_type": "code",
- "execution_count": 10,
- "metadata": {
- "collapsed": true
- },
+ "execution_count": null,
+ "metadata": {},
"outputs": [],
"source": [
- "%psource PermutationDecoder"
+ "psource(PermutationDecoder)"
]
},
{
@@ -811,7 +772,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.5.2+"
+ "version": "3.5.3"
}
},
"nbformat": 4,
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