More markov generation

main
Eric Ihli 3 years ago
parent 1c423f49e9
commit cd2c4268b7

@ -493,7 +493,6 @@
(loop [target-rhyme target-rhyme
result []]
(let [choices (rhyme-choices trie target-rhyme)]
(println target-rhyme choices result)
(if (or (empty? target-rhyme) (prhyme/last-primary-stress? (reverse target-rhyme)))
(into result choices)
(recur (butlast target-rhyme)
@ -518,72 +517,131 @@
)
(defn get-next-markov
[{:keys [trie database] :as context} seed]
"Weighted selection from markov model with backoff.
Expects markov key/values to be [k1 k2 k3] [<value> freq]."
[markov-trie seed]
(let [seed (take-last 3 seed)
node (trie/lookup trie seed)
node (trie/lookup markov-trie seed)
children (and node
(->> node
trie/children
(map (fn [^com.owoga.trie.ITrie child]
; Get key and frequency of each child
[(.key child)
(get child [])]))
(remove (comp nil? second))
(remove
(fn [[k v]]
(#{1 38} k)))))]
(remove (comp nil? second))))]
(cond
(nil? node) (recur context (rest seed))
; If we've never seen this n-gram, fallback to n-1-gram
(nil? node) (recur markov-trie (rest seed))
(seq children)
(if (< (rand) (/ (apply max (map (comp second second) children))
(apply + (map (comp second second) children))))
(recur context (rest seed))
(recur markov-trie (rest seed))
(first (math/weighted-selection (comp second second) children)))
(> (count seed) 0)
(recur context (rest seed))
(recur markov-trie (rest seed))
; If we have a node but no children, or if we don't have a seed,
; we don't know how to handle that situation.
:else (throw (Exception. "Error")))))
(defn get-next-markov-from-phrase-backwards
[{:keys [database trie] :as context} phrase n]
(let [word-ids (->> phrase
(#(string/split % #" "))
(take n)
(reverse)
(map database))]
(database (get-next-markov context word-ids))))
(defn normalized-frequencies
[coll]
(let [freqs (frequencies coll)
total (apply + (vals freqs))]
(reduce
(fn [freqs [k v]]
(assoc freqs k (float (/ v total))))
{}
freqs)))
(comment
(let [markov-trie (trie/make-trie ["see" "dog" "run"] [["see" "dog" "run"] 1]
["see" "cat" "eat"] [["see" "cat" "eat"] 1]
["see" "dog"] [["see" "dog"] 1]
["dog" "eat"] [["dog" "eat"] 1]
["see" "cat"] [["see" "cat"] 1]
["cat" "eat"] [["cat" "eat"] 1]
["see"] [["see"] 2]
["dog"] [["dog"] 1]
["run"] [["run"] 1]
["cat"] [["cat"] 1]
["eat"] [["eat"] 1])
seed ["see"]
node (trie/lookup markov-trie seed)]
[(normalized-frequencies
(repeatedly 1000 #(get-next-markov markov-trie ["see"])))
(normalized-frequencies
(repeatedly 1000 #(get-next-markov markov-trie ["see dog"])))])
;; => [{"cat" 0.336, "dog" 0.308, "eat" 0.088, "see" 0.178, "run" 0.09}
;; {"cat" 0.141, "dog" 0.176, "see" 0.32, "eat" 0.187, "run" 0.176}]
)
(defn generate-n-syllable-sentence-rhyming-with
[context target-phrase n-gram-rank target-rhyme-syllable-count target-sentence-syllable-count]
(if (string? target-phrase)
(let [target-phrase-words (string/split target-phrase #" ")
reversed-target-phrase (string/join " " (reverse target-phrase-words))
[markov-trie
rhyme-trie
target-rhyme
(->> (prhyme/take-words-amounting-to-at-least-n-syllables
reversed-target-phrase
target-rhyme-syllable-count)
(#(string/split % #" "))
reverse
(string/join " "))
rhyming-n-gram (->> (rhyming-n-gram-choices context target-rhyme)
(weighted-selection-from-choices)
(choice->n-gram context)
(string/join " "))]
(loop [phrase rhyming-n-gram]
(if (<= target-sentence-syllable-count (prhyme/count-syllables-of-phrase phrase))
n-gram-rank
target-rhyme-syllable-count
target-sentence-syllable-count]
(let [rhyme (->> (rhyme-choices-walking-target-rhyme rhyme-trie target-rhyme)
rand-nth
((fn [[phones words]]
[[phones] (rand-nth (vec words))])))]
(loop [phrase [rhyme]]
(if (<= target-sentence-syllable-count
(prhyme/count-syllables-of-phrase
(string/join " " (map second phrase))))
phrase
(recur
(str (get-next-markov-from-phrase-backwards context phrase n-gram-rank)
" "
phrase)))))
(let [target-rhyme
(->> (prhyme/take-n-syllables target-phrase target-rhyme-syllable-count))
rhyming-n-gram (->> (rhyming-n-gram-choices context target-rhyme)
(weighted-selection-from-choices)
(choice->n-gram context)
(string/join " "))]
(loop [phrase rhyming-n-gram]
(if (<= target-sentence-syllable-count (prhyme/count-syllables-of-phrase phrase))
(conj
phrase
(recur
(str (get-next-markov-from-phrase-backwards context phrase n-gram-rank)
" "
phrase)))))))
(let [word (get-next-markov markov-trie (map second phrase))]
[(phonetics/get-phones word) word])))))))
(comment
(let [words [["see" "dog" "run"] [["see" "dog" "run"] 1]
["see" "cat" "eat"] [["see" "cat" "eat"] 1]
["dog" "has" "fun"] [["dog" "has" "fun"] 1]
["see" "dog"] [["see" "dog"] 1]
["dog" "eat"] [["dog" "eat"] 1]
["see" "cat"] [["see" "cat"] 1]
["cat" "eat"] [["cat" "eat"] 1]
["has" "fun"] [["has" "fun"] 1]
["see"] [["see"] 2]
["dog"] [["dog"] 2]
["run"] [["run"] 1]
["cat"] [["cat"] 1]
["eat"] [["eat"] 1]
["has"] [["has"] 1]
["fun"] [["fun"] 1]]
words (map
(fn [[k [v f]]]
[(reverse k) [(reverse v) f]])
(partition 2 words))
markov-trie (into (trie/make-trie) words)
words ["see" "dog" "run" "cat" "eat" "has" "fun"]
rhyme-trie (prhyme/words->rhyme-trie
prhyme/phrase->all-flex-rhyme-tailing-consonants-phones
words)
target-rhyme ["N" "AH1" "F"]]
(sort-by
(comp - second)
(normalized-frequencies
(repeatedly
1000
#(map
second
(generate-n-syllable-sentence-rhyming-with
markov-trie
rhyme-trie
target-rhyme
3
1
3))))))
;; => ([("fun" "see" "see") 0.027]
;; [("fun" "dog" "see") 0.026]
;; [("fun" "see" "dog") 0.026]
;; ,,,
;; [("fun" "run" "has") 0.001])
)

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