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@ -1125,13 +1125,15 @@
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:else (recur (butlast lookup))))))
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(defn trie-frequencies [node]
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(->> node
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trie/children
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(map #(second (get % [])))
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frequencies
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vec
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(sort-by first)
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(into (sorted-map))))
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(if (nil? node)
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nil
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(->> node
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trie/children
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(map #(second (get % [])))
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frequencies
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vec
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(sort-by first)
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(into (sorted-map)))))
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(comment
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(time (trie-frequencies (trie/lookup markov-tight-trie [107])))
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@ -1140,7 +1142,7 @@
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(defn perplexity
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"TODO:
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- Tests
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- Katz back-off
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- *** Katz back-off
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- Performance
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"
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[rank model n-gram]
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@ -1163,13 +1165,42 @@
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(perplexity 2 markov-tight-trie [1 1 7 90]);; => -14.360605720470575
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(perplexity 2 markov-tight-trie [1 1 7 89]);; => -12.98036901624079
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(perplexity 2 markov-tight-trie [1 1 7 174]);; => -11.84336736411312
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(perplexity 4 markov-tight-trie [22 22 22 22 34 34 18])
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(trie/lookup markov-tight-trie [1 1 7 90])
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(trie/lookup markov-tight-trie [1 1 7 89])
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(map database [1 1 7])
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)
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(defn perplexity-add-one
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"If you're only using perplexity to compare phrases generated using
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the same model, this might be a reasonable and simple alternative
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to Katz Back-Off.
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Just give everything with 0 frequencies a freq of 1."
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[rank model n-gram]
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(loop [i 1
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n-gram n-gram
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log-prob 0]
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(if (> i (count n-gram))
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log-prob
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(recur (min (inc i) rank)
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(if (= i rank) (rest n-gram) n-gram)
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(let [words (take i n-gram)
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child (trie/lookup model words)
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parent (trie/lookup model (butlast words))
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w1-freq (second (get child [] [nil 1]))
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freqs (trie-frequencies parent)
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sgt (math/frequencies->simple-good-turing-probabilities freqs)]
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(+ log-prob (Math/log (sgt w1-freq))))))))
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(comment
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(perplexity-add-one 2 markov-tight-trie [1 1 7 90]);; => -14.360605720470575
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(perplexity-add-one 4 markov-tight-trie [22 22 22 22 34 34 18])
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(trie/lookup markov-tight-trie [1 1 7 90])
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(trie/lookup markov-tight-trie [1 1 7 89])
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(map database [1 1 7])
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)
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;;;; WGU
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(defn gen-rhyme-tree
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