part 11 paragraph


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DATE: June 1, 2013, 2:56 a.m.

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  1. --U--
  2. There are four pointers associated with each word
  3. stored in table (I). Pointer D specifies the location in
  4. table (4) where the list of dependents associated with
  5. the word is stored. A countez is used to specify the
  6. number of words and semantic classes in the list. A
  7. semantic class in the original data is prefixed by a C
  8. (CI identifies senmntic class I). In table (4) all the
  9. counters and semantic classes (the numerical values) are
  10. stored as negative values so that the positive values
  11. (i.e. word numbers) can be conveniently changed to pointers
  12. at a later stage. In our example the pointer D is 130
  13. and the words 726 and 4594, and also the semantic classes
  14. CI, C2 and C16, are in the dependent list associated with
  15. word 2466. The value which identifies a semantic class in
  16. table (4) is actually a pointer to a table which contains
  17. the starting locations of the lists of words in all senmr~-
  18. tic classes. This is illustrated in Fig. I by the links
  19. from table (4) through table (8) to table (3).
  20. The set of governing probabilities associated with
  21. word 2466 is stored in table (7). Pointer P specifies the
  22. starting location where the probability values are stored.
  23. In the example, P is set to 142. Notice that no spaces
  24. are reserved for adjectives and adverbs bocauae they do
  25. not have governing probabilities.
  26. The pointer H associated with a word in table (I)
  27. specifies the location in table (5) where a counter and

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