commit 4d8fe0fada82e13f9a9b7c1abcebab9a00774f0f
Author: Wesley Kerfoot <wjak56@gmail.com>
Date:   Thu Jan 24 21:20:03 2013 -0500

    first commit

diff --git a/README.md b/README.md
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index 0000000..e69de29
diff --git a/approximate.hs b/approximate.hs
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+++ b/approximate.hs
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+import qualified Control.Monad.Random as MR
+import Text.JSON
+import qualified Data.Map as Dm
+
+fromJSRational (s, (JSRational _ r)) = (s,fromRational r)
+
+ngramp ngJSON = let (Ok (JSObject result)) = decode ngJSON :: Result JSValue
+                    in Dm.fromList $ map fromJSRational $ fromJSObject $ result
+
+frequencyMap [] ngmap = ngmap
+frequencyMap ((ng, p):ngs) ngmap = case Dm.lookup (head ng) ngmap of
+                                Nothing -> frequencyMap ngs (Dm.insert (head ng) [(ng, p)] ngmap)
+                                Just xs -> frequencyMap ngs (Dm.insert (head ng) ((ng, p) : xs) ngmap)
+
+
+generateText n acc cur freqmap = do
+                        let (Just probabilities) = Dm.lookup cur freqmap
+                        choice <- MR.fromList probabilities
+                        let next = (head $ tail choice)
+                        case n of 
+                            0 -> return acc
+                            _ -> generateText (n-1) (acc++([head choice])) next freqmap
+
+gibberish n = do
+        js <- readFile "./ngrams.json"
+        let pmap = ngramp js
+        result <- generateText n [] 't' (frequencyMap (Dm.toList pmap) (Dm.singleton '' []))
+        return result
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diff --git a/tokenize.hs b/tokenize.hs
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+++ b/tokenize.hs
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+import Data.List.Split
+import Data.Char
+import qualified Data.Map as Dm
+import Control.Applicative
+import Control.Monad
+
+ngrams' n len xs = let next = (take n xs)
+                in case len == n of
+                    False -> (toLower <$> next) : (ngrams' n (len - 1) $ drop 1 xs)
+                    _     -> return xs
+ngrams n xs = ngrams' n (length xs) xs
+
+digrams = ngrams 2
+trigrams = ngrams 3
+-- start out by choosing a random unigram
+
+-- then choose another letter with the conditional probability that it follows the first one
+-- will have to calculate the conditional probability that any letter follows any other letter
+
+-- see how many digrams start with that letter
+startsP' :: Char -> [String] -> (Int, Int)
+startsP' letter dgs = foldr check (0, 0) dgs where
+    check (first:second:[]) (a, n) = case (first == letter) of
+                                True -> (a + 1, n + 1)
+                                _    -> (a, n + 1)
+    check (first:[]) (a, n) = (a, n + 1)
+
+startsP letter dgs = let (n, k) = startsP' letter (digrams dgs) 
+                        in (fromIntegral n) / (fromIntegral k)
+
+
+select [] = []
+select (x : xs) = (x, xs) : map (fmap (x :)) (select xs)
+
+perm2 ks = [[x,y] | (x, ys) <- select ks, y <- ys]
+
+permute 2 xs = perm2 xs
+permute n xs = join [[x : p | p <- (permute (n-1) ys)] | (x,ys) <- select xs]
+
+alphabet = ((map return ".,\" :;?![]()") ++ (map return ['a'..'z'])) ++ (map (\x -> [x,x]) ['a'..'z'])
+
+englishDigrams = permute 2 alphabet
+
+englishTrigrams = permute 3 alphabet
+
+out fname n (d, k) = appendFile fname $ (show d) ++ ":" ++ (show $ k/n) ++ ","
+
+digramProbs :: (Num a, Num t, Ord k) => t -> Dm.Map k a -> [k] -> (t, Dm.Map k a)
+-- first argument is tokenized digrams
+-- seconds argument is all possible digrams
+digramProbs n ds [] = (n, ds)
+digramProbs n digrams (d:ds) = case (Dm.lookup d digrams) of
+                                Nothing -> digramProbs n digrams ds
+                                (Just count) -> let digrams' = Dm.insert d (count+1) digrams
+                                                    in digramProbs (n+1) digrams' ds
+
+buildProbabilities :: (Fractional a, Ord k) => [k] -> Dm.Map k a
+buildProbabilities digrams = Dm.fromList [(digram, 0.0) | digram <- digrams]
+
+-- main = do
+    -- corpus <- readFile "./xab"
+    -- let (n, digramMap) = digramProbs 0 (buildProbabilities englishTrigrams) (trigrams corpus)
+    -- mapM_ (out "./test2.json" n) $ Dm.toList digramMap
+    
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