Finished word segmentation slides
authorNeil Smith <neil.git@njae.me.uk>
Wed, 18 Jun 2014 19:51:13 +0000 (20:51 +0100)
committerNeil Smith <neil.git@njae.me.uk>
Wed, 18 Jun 2014 19:51:13 +0000 (20:51 +0100)
slides/word-segmentation.html
unknown-word-probability-investigation.ipynb

index d8c2824b4be5bfad4be0c7f8707bdc64c785feb6..16fcb0ad8c36c77041e790799046dd580e5128fa 100644 (file)
@@ -1,7 +1,7 @@
 <!DOCTYPE html>
 <html>
   <head>
-    <title>Affine ciphers</title>
+    <title>Word segmentation</title>
     <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"/>
     <style type="text/css">
       /* Slideshow styles */
@@ -134,35 +134,24 @@ def Pwords(words):
 
 # Testing the bag of words model
 
+
 ```python
->>> 'hello' in Pw.keys()
-True
->>> 'inigo' in Pw.keys()
-True
->>> 'blj' in Pw.keys()
-False
->>> Pw['hello']
--4.25147684171819
->>> Pw['my']
--2.7442478375632335
->>> Pw['name']
--3.102452772219651
->>> Pw['is']
--2.096840784739768
->>> Pw['blj']
+>>> 'hello' in Pw.keys()       >>> Pwords(['hello'])
+True                           -4.25147684171819
+>>> 'inigo' in Pw.keys()       >>> Pwords(['hello', 'my'])
+True                           -6.995724679281423
+>>> 'blj' in Pw.keys()         >>> Pwords(['hello', 'my', 'name'])
+False                          -10.098177451501074
+>>> Pw['hello']                >>> Pwords(['hello', 'my', 'name', 'is'])
+-4.25147684171819              -12.195018236240843
+>>> Pw['my']                   >>> Pwords(['hello', 'my', 'name', 'is', 'inigo'])
+-2.7442478375632335            -18.927603013570945
+>>> Pw['name']                 >>> Pwords(['hello', 'my', 'name', 'is', 'blj'])
+-3.102452772219651             -23.964487301167402
+>>> Pw['is']                   
+-2.096840784739768             
+>>> Pw['blj']                  
 -11.76946906492656
->>> Pwords(['hello'])
--4.25147684171819
->>> Pwords(['hello', 'my'])
--6.995724679281423
->>> Pwords(['hello', 'my', 'name'])
--10.098177451501074
->>> Pwords(['hello', 'my', 'name', 'is'])
--12.195018236240843
->>> Pwords(['hello', 'my', 'name', 'is', 'inigo'])
--18.927603013570945
->>> Pwords(['hello', 'my', 'name', 'is', 'blj'])
--23.964487301167402
 ```
 
 ---
@@ -195,6 +184,164 @@ The last one is important
 
 * What if this is the last word of the text?
 
+---
+
+# Effeciency and memoisation
+
+* helmut s cousins are i suppose kind in their own way but there is little warmth in the kindness i receive
+
+At any stage, can consider the sentence as prefix, word, suffix
+
+* `littlewarmthin | the | kindness i receive`
+* `littlewarmthi | nthe | kindness i receive`
+* `littlewarmth | inthe | kindness i receive`
+* `littlewarmt | hinthe | kindness i receive`
+
+P(sentence) = P(prefix) × P(word) × P(suffix)
+
+* We're assuming independence of sections.
+* For a given word/suffix split, there is only one best segmentation of the suffix.
+* Best segmentation of sentence (with split here) must have the best segmentation of the suffix.
+* Once we've found it, no need to recalculate it.
+
+## What's the complexity now?
+
+---
+
+# Memoisation
+
+* Maintain a table of previously-found results
+* Every time we're asked to calculate a segmentation, look in the table.
+* If it's in the table, just return that.
+* If not, calculate it and store the result in the table.
+
+Wrap the segment function in something that maintains that table.
+
+In the standard library: `lru_cache` as a function decorator.
+
+```python
+from functools import lru_cache
+
+@lru_cache()
+def segment(text):
+    ...
+```
+* (Plenty of tutorials online on function decorators.)
+
+---
+
+# Implmentation detail
+
+You'll hit Python's recursion level limit.
+
+Easy to reset:
+
+```python
+import sys
+sys.setrecursionlimit(1000000)
+```
+
+---
+
+# Testing segmentation
+
+```python
+>>> segment('hello')
+['hello']
+>>> segment('hellomy')
+['hello', 'my']
+>>> segment('hellomyname')
+['hello', 'my', 'name']
+>>> segment('hellomynameis')
+['hellomynameis']
+```
+
+Oh.
+
+Why?
+
+---
+
+# A broken language model
+
+```python
+>>> Pwords(['hello'])
+-4.25147684171819
+>>> Pwords(['hello', 'my'])
+-6.995724679281423
+>>> Pwords(['hello', 'my', 'name'])
+-10.098177451501074
+>>> Pwords(['hello', 'my', 'name', 'is'])
+-12.195018236240843
+
+>>> Pw['is']                   
+-2.096840784739768             
+>>> Pw['blj']                  
+-11.76946906492656
+```
+
+Need a better estimate for probability of unknown words.
+
+Needs to take account of length of word.
+
+* Longer words are less probable.
+
+## To IPython for investigation!
+
+---
+
+# Making Pdist more flexible
+
+Want to give a sensible default for unknown elements
+
+* But this will vary by referent
+* Different languages, *n*-grams, etc. 
+
+Make it a parameter!
+
+---
+
+# Hint
+
+```python
+class Pdist(dict):
+    def __init__(self, data=[], estimate_of_missing=None):
+        for key, count in data2:
+            ...
+        self.total = ...
+    def __missing__(self, key):
+        if estimate_of_missing:
+            return estimate_of_missing(key, self.total)
+        else:
+            return ...
+
+def log_probability_of_unknown_word(key, N):
+    return -log10(N * 10**((len(key) - 2) * 1.4))
+
+Pw = Pdist(datafile('count_1w.txt'), log_probability_of_unknown_word)            
+```
+
+---
+
+# Testing segmentation again
+
+```python
+>>> segment('hello')
+['hello']
+>>> segment('hellomy')
+['hello', 'my']
+>>> segment('hellomyname')
+['hello', 'my', 'name']
+>>> segment('hellomynameis')
+['hello', 'my', 'name', 'is']
+>>> ' '.join(segment(sanitise('HELMU TSCOU SINSA REISU PPOSE KINDI NTHEI ROWNW '
+                              'AYBUT THERE ISLIT TLEWA RMTHI NTHEK INDNE SSIRE CEIVE ')))
+'helmut s cousins are i suppose kind in their own way but there is 
+ little warmth in the kindness i receive'
+```
+
+Try it out on the full decrypt of `2013/2b.ciphertext` (it's a Caesar cipher)
+
 
     </textarea>
     <script src="http://gnab.github.io/remark/downloads/remark-0.6.0.min.js" type="text/javascript">
index cba89bf085b44f36a68669ab7eeed1725d7b0cdf..ff3767b102cfbff7c774a74a8cf9b489ce040d11 100644 (file)
@@ -1,6 +1,7 @@
 {
  "metadata": {
-  "name": ""
+  "name": "",
+  "signature": "sha256:6a52b786de0fbcf68d2da20d0ad155b76414b0e5add50e4d11d9f765911eb884"
  },
  "nbformat": 3,
  "nbformat_minor": 0,
      "outputs": [],
      "prompt_number": 1
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "# What fraction of possible words are present in the dictionary?"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "fractions = [1.0]\n",
       "for wordlen in range(1, 20):\n",
-      "    known_words = len([w for w in keywords if len(w) == wordlen])\n",
+      "    known_words = len([w for w in keywords if len(w) == wordlen]) # Words in the dictionary\n",
       "    possible_words = 26 ** wordlen\n",
       "    fractions += [known_words / possible_words]\n",
       "fractions"
      ],
      "prompt_number": 2
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "# Plot the fractions"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
       {
        "metadata": {},
        "output_type": "display_data",
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        "text": [
-        "<matplotlib.figure.Figure at 0x7fbd43167f50>"
+        "<matplotlib.figure.Figure at 0x7f9d3321cfd0>"
        ]
       }
      ],
      "prompt_number": 3
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "# Log plot"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
       {
        "metadata": {},
        "output_type": "display_data",
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EiIiEczbnhSJiemMGROePSk0u0lEJMItXZpNRkbWiT0pxoxJCdvsJiUJEZE4EU2L6UREJAooSYiI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\nSUVORK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x7fbd42238b90>"
+        "<matplotlib.figure.Figure at 0x7f9d31cd14a8>"
        ]
       }
      ],
      "prompt_number": 4
     },
+    {
+     "cell_type": "markdown",
+     "metadata": {},
+     "source": [
+      "# Guess some lines of best fit"
+     ]
+    },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
       "plt.plot([log10(f) for f in fractions], 'bo')\n",
       "plt.plot([i for i in range(2,20)], [-(i-2) for i in range(2,20)], 'g-')\n",
+      "plt.plot([i for i in range(2,20)], [-(i-3)*1.5 for i in range(2,20)], 'r-')\n",
+      "plt.plot([i for i in range(2,20)], [-(i-2)*1.4 for i in range(2,20)], 'r^-')\n",
       "plt.ylabel(\"Log probability of word\")\n",
       "plt.xlabel(\"Word length\")\n",
       "plt.show()"
       {
        "metadata": {},
        "output_type": "display_data",
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X19fowdHRCQWNgl8TuMusI6OjorprytXrjRaQERE5iA2dijc3ObXO/a8SWCoSBGJg0umiYiUqC1O\nJycvqNMkMNxii9a60ngxXV2dO3eutzmQqXF2ExGR9nT53alyJNGqVSuVezk8ePBAu8iIiMgi6TSS\nEBtHEkRE2jPKOgkiImq8mCSIiEglJgkiIlKJU2CJiIzI0psEMkkQERmJsiaBpaXPF+hZSqLg7SYi\nIiOxhiaBTBJEREZiDU0CmSSIiIzEGpoEMkkQERmJNTQJ5IprIiIj2rPnMJKTD9RpEhgqWtHaKNuX\nmiMmCSIi7bEtBxERGZQoSWL27Nno3r07fH19ERUVpdj1rqysDM2bN4dMJoNMJsPUqVPFCI+IiP5H\nlNtNBw4cQEhICGxsbDBnzhwAwPLly1FWVoaIiAgUFRW99Od5u4mISHsWc7spNDQUNjbPLx0QEICr\nV6+KEQYREakhek1i/fr1GDZsmOL55cuXIZPJIJfLceTIEREjIyIio/VuCg0NRWVlZYPjS5cuRURE\nBABgyZIlaNKkCcaNGwcA6NSpE8rLy9GmTRucOnUKI0eOxLlz5+Dg4NDgPPHx8YrHcrkccrncKP8d\nRESWKicnBzk5OXqdQ7QpsGlpaVi3bh0OHjyIZs2aKX1NcHAwVq5cCX9//3rHWZMgItKexdQksrKy\n8OWXXyIzM7Negrh58yZqap4vV7906RIuXryIrl27ihEiERFBpJGEh4cHqqur8eqrrwIAgoKCkJKS\ngh07dmDhwoWwt7eHjY0NFi1ahOHDhzcMmiMJImpEDLUnBVdcExFZGWV7Uri5zUdiYpjWicJibjcR\nEZFmxN6TgkmCiMiMib0nBZMEEZEZE3tPCiYJIiIzJvaeFCxcExGZOUPtScHZTUREpBJnNxERkUEx\nSRARkUpMEkREpBKTBBERqcQkQUREKjFJEBGRSkwSRESkEpMEERGpxCRBREQqMUkQEZFKTBJERKQS\nkwQREanEJEFERCoxSRARkUpMEkREpBKTBBERqcQkQUREKjFJEBGRSkwSRESkEpMEERGpxCRBREQq\nMUkQEZFKoiSJBQsWwNfXF35+fggJCUF5ebnie8uWLYOHhwe8vLyQnZ0tRniNTk5OjtghWBW+n4bF\n91NcoiSJTz/9FKdPn0ZhYSFGjhyJhIQEAEBxcTHS09NRXFyMrKwsTJ06Fc+ePRMjxEaF/wgNi++n\nYfH9FJcoScLBwUHx+N69e2jXrh0AIDMzE2PHjoW9vT1cXV3h7u6O/Px8MUIkIiIAdmJdeP78+di0\naROaN2+CIL0NAAAIa0lEQVSuSATXrl1DYGCg4jUuLi6oqKgQK0QiokZPIgiCYIwTh4aGorKyssHx\npUuXIiIiQvF8+fLluHDhAjZs2IAZM2YgMDAQf/zjHwEAH3zwAYYNG4aoqKj6QUskxgiZiMjqafsr\n32gjiQMHDmj0unHjxmHYsGEAAGdn53pF7KtXr8LZ2bnBzxgprxER0QtEqUlcvHhR8TgzMxMymQwA\nEBkZiW3btqG6uhqXL1/GxYsX0bdvXzFCJCIiiFSTmDt3Li5cuABbW1u4ublh7dq1AABvb2+MGjUK\n3t7esLOzQ0pKCm8tERGJSbAw+/btEzw9PQV3d3dh+fLlYodj8f7whz8IUqlU8PPzE/r06SN2OBZl\nwoQJQocOHYSePXsqjt26dUsYMmSI4OHhIYSGhgq//fabiBFaFmXv58KFCwVnZ2fBz89P8PPzE/bt\n2ydihJblypUrglwuF7y9vYUePXoIiYmJgiBo/xm1qBXXNTU1mD59OrKyslBcXIytW7fi/PnzYodl\n0SQSCXJyclBQUMDpxlqaMGECsrKy6h1bvnw5QkND8c9//hMhISFYvny5SNFZHmXvp0QiQVxcHAoK\nClBQUIDw8HCRorM89vb2WL16Nc6dO4fjx4/j66+/xvnz57X+jFpUksjPz4e7uztcXV1hb2+PMWPG\nIDMzU+ywLJ7AiQA6GTBgANq0aVPv2A8//IDx48cDAMaPH4/vv/9ejNAskrL3E+DnU1evvfYa/Pz8\nAACtWrVC9+7dUVFRofVn1KKSREVFBTp37qx4znUU+pNIJBgyZAh69+6NdevWiR2Oxbtx4wacnJwA\nAE5OTrhx44bIEVm+5ORk+Pr6IiYmBlVVVWKHY5HKyspQUFCAgIAArT+jFpUkWMQ2vKNHj6KgoAD7\n9u3D119/jdzcXLFDshoSiYSfWT1NmTIFly9fRmFhITp27IhZs2aJHZLFuXfvHt5++20kJibW63YB\naPYZtagk8eI6ivLycri4uIgYkeXr2LEjAKB9+/Z46623WJfQk5OTk2IR6fXr19GhQweRI7JsHTp0\nUPwi++CDD/j51NKTJ0/w9ttv47333sPIkSMBaP8Ztagk0bt3b1y8eBFlZWWorq5Geno6IiMjxQ7L\nYj148AB3794FANy/fx/Z2dmQSqUiR2XZIiMjsXHjRgDAxo0bFf8wSTfXr19XPM7IyODnUwuCICAm\nJgbe3t74+OOPFce1/owafR6Wge3du1fo1q2b4ObmJixdulTscCzapUuXBF9fX8HX11fo0aMH308t\njRkzRujYsaNgb28vuLi4COvXrxdu3bolhISEcAqsDl58P1NTU4X33ntPkEqlgo+PjzBixAihsrJS\n7DAtRm5uriCRSARfX996U4i1/YwarXcTERFZPou63URERKbFJEFERCoxSRARkUpMEkREpBKTBFmt\nmTNnIjExUfE8LCwMEydOVDyfNWsWVq9erdO5c3Jy6m2epe64vjIzM+v1KZPL5Th58qTBr0P0IiYJ\nslr9+/fHsWPHAADPnj3DrVu3UFxcrPh+Xl4eXn/9dY3O9ezZM6PEqKmMjIx6sXMlN5kKkwRZraCg\nIOTl5QEAzp07h549e8LBwQFVVVV4/Pgxzp8/D39/fxw8eBD+/v7w8fFBTEwMqqurAQCurq6YM2cO\nevXqhe3btyMrKwvdu3dHr169kJGRofb69+/fR3R0NAICAuDv748ffvgBAJCWloaoqCi88cYb6Nat\nGz777DPFz6SmpsLT0xMBAQH48MMPMWPGDOTl5WHXrl2YPXs2/P39cenSJQDA9u3bERAQAE9PTxw5\ncsTQbx8RAJE2HSIyhU6dOsHOzg7l5eXIy8tDUFAQKioqkJeXh1deeQU+Pj6oqanBhAkTcOjQIbi7\nu2P8+PFYu3YtPvroI0gkErRr1w4nT57Eo0eP0K1bN/z4449wc3PD6NGj1f41v2TJEoSEhGD9+vWo\nqqpCQEAAhgwZAgA4ffo0CgsL0aRJE3h6eiI2NhYSiQSLFy9GQUEBWrVqhcGDB8PPzw9BQUGIjIxE\nREREvf3ea2pq8PPPP2Pfvn1ISEjQeMtgIm1wJEFWrV+/fjh27BiOHTuGoKAgBAUF4dixY4pbTRcu\nXECXLl3g7u4O4Hnr5MOHDyt+fvTo0QCAkpISdOnSBW5ubgCAd999V20L6+zsbCxfvhwymQzBwcF4\n/Pgxrly5AolEgpCQEDg4OKBp06bw9vZGWVkZ8vPzMWjQILRu3Rp2dnZ455136l3jxevVJgx/f3+U\nlZXp/V4RKcORBFm1119/HUePHkVRURGkUik6d+6Mr776Co6OjoiOjm7wekEQ6o0QWrZsqfS8mjYq\n2LlzJzw8POod+/nnn9G0aVPFc1tbWzx9+rTByOTFa7z4/dpz1P48kTFwJEFWrV+/fti9ezfatm0L\niUSCNm3aoKqqCnl5eejXrx+6deuGsrIylJaWAgA2bdqEQYMGNTiPl5cXysrKFPWArVu3qr12WFgY\nkpKSFM8LCgoAKE8wEokEffr0wU8//YSqqio8ffoUO3bsUCQGBwcH3LlzR/s3gEhPTBJk1Xr27Ilb\nt24hMDBQcczHxwetW7fGq6++imbNmmHDhg1455134OPjAzs7O0yePBlA/b/cmzVrhr/+9a8YPnw4\nevXqBScnJ6U1ibr9+RcsWIAnT57Ax8cHPXv2xMKFCxu8pq5OnTph3rx56Nu3L/r3748uXbrA0dER\nADBmzBh8+eWX6NWrlyJRvXhdImNggz8iM3L//n20bNkST58+RVRUFGJiYjBixAixw6JGjCMJIjMS\nHx8PmUwGqVSKrl27MkGQ6DiSICIilTiSICIilZgkiIhIJSYJIiJSiUmCiIhUYpIgIiKVmCSIiEil\n/w+H/CoI41pxawAAAABJRU5ErkJggg==\n",
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pj1HCJs0odznVxRF616UH/4OEvF4bmbKCRKv+nIhP1OQkMpj1SoYMgT++18YPZrkM2dI6dvXJuRd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\nRK5CYII=\n",
        "text": [
-        "<matplotlib.figure.Figure at 0x7fbd541147d0>"
+        "<matplotlib.figure.Figure at 0x7f9d31d314a8>"
        ]
       }
      ],
-     "prompt_number": 5
+     "prompt_number": 6
     },
     {
      "cell_type": "code",
      "collapsed": false,
      "input": [
-      "plt.plot([log10(f) for f in fractions], 'bo')\n",
-      "plt.plot([i for i in range(2,20)], [-(i-2) for i in range(2,20)], 'g-')\n",
-      "plt.plot([i for i in range(2,20)], [-(i-3)*1.5 for i in range(2,20)], 'r-')\n",
-      "plt.plot([i for i in range(2,20)], [-(i-2)*1.4 for i in range(2,20)], 'r^-')\n",
-      "plt.ylabel(\"Log probability of word\")\n",
-      "plt.xlabel(\"Word length\")\n",
-      "plt.show()"
+      "' '.join(segment(sanitise('HELMU TSCOU SINSA REISU PPOSE KINDI NTHEI ROWNW AYBUT THERE ISLIT TLEWA RMTHI NTHEK INDNE SSIRE CEIVE ')))\n"
      ],
      "language": "python",
      "metadata": {},
      "outputs": [
       {
        "metadata": {},
-       "output_type": "display_data",
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ESOoVq1atp8lJSVRs2ZNM6Uv02TuJlFqxMXBzJmGFfD8/QmtXp2wCRPoHxiIdtiwf9avOHIEFi82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\n",
+       "output_type": "pyout",
+       "prompt_number": 9,
        "text": [
-        "<matplotlib.figure.Figure at 0x7fbd414c8910>"
+        "'helmut s cousins are i suppose kind in their own way but there is little warmth in the kindness i receive'"
        ]
       }
      ],
      "input": [],
      "language": "python",
      "metadata": {},
-     "outputs": [],
-     "prompt_number": 6
+     "outputs": []
     }
    ],
    "metadata": {}