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courses:rg:2012:longdtreport [2012/03/12 22:39] longdt |
courses:rg:2012:longdtreport [2012/03/12 22:41] longdt |
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==== Encoding ==== | ==== Encoding ==== | ||
- | I. Encoding the count | + | **I. Encoding the count** |
In web1T corpus, the most frequent n-gram is 95 billion times, but contain only 770 000 unique count. | In web1T corpus, the most frequent n-gram is 95 billion times, but contain only 770 000 unique count. | ||
=> Maintain value rank array is a good way to encode count | => Maintain value rank array is a good way to encode count | ||
- | II. Encoding the n-gram | + | **II. Encoding the n-gram** |
- | **Idea** | + | //Idea// |
+ | encode W1,W2....Wn = c(W1, | ||
+ | c is offset function, so call context encoding | ||
+ | // | ||
+ | - Sorted Array | ||
+ | + Use n array for n-gram model (array i-th is used for i-gram) | ||
+ | + Each element in array in pair (w,c) | ||
+ | + w : index of that word in unigram array | ||
+ | + c : offset pointer | ||
+ | |||
+ | | ||
Most of the attendants apparently understood the talk and the paper well, and a | Most of the attendants apparently understood the talk and the paper well, and a | ||
lively discussion followed. One of our first topics of debate was the notion of | lively discussion followed. One of our first topics of debate was the notion of |