Markov chain text generator: Difference between revisions

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=={{header|J}}==

This seems to be reasonably close to the specification:

<lang J>require'web/gethttp'

setstats=:dyad define
'plen slen limit'=: x
txt=. gethttp y
letters=. (tolower~:toupper)txt
NB. apostrophes have letters on both sides
apostrophes=. (_1 |.!.0 letters)*(1 |.!.0 letters)*''''=txt
parsed=. <;._1 ' ',deb ' ' (I.-.letters+apostrophes)} tolower txt
words=: ~.parsed
corpus=: words i.parsed
prefixes=: ~.plen]\corpus
suffixes=: ~.slen]\corpus
ngrams=. (plen+slen)]\corpus
pairs=. (prefixes i. plen{."1 ngrams),. suffixes i. plen}."1 ngrams
stats=: (#/.~pairs) (<"1~.pairs)} (prefixes ,&# suffixes)$0
i.0 0
)

genphrase=:3 :0
pren=. #prefixes
sufn=. #suffixes
phrase=. (?pren) { prefixes
weights=. +/\"1 stats
totals=. (+/"1 stats),0
while. limit > #limit do.
p=. prefixes i. (-plen) {. phrase
t=. p { totals
if. 0=t do. break.end. NB. no valid matching suffix
s=. (p { weights) I. ?t
phrase=. phrase, s { suffixes
end.
;:inv phrase { words
)</lang>

{{out}}<lang J> 2 1 50 setstats 'http://paulo-jorente.de/text/alice_oz.txt'
genphrase''
got in as alice alice
genphrase''
perhaps even alice
genphrase''
pretty milkmaid alice
genphrase''
all made of china alice
genphrase''
suit them alice was not much hurt alice
genphrase''
throat and alice looked all round alice alice
genphrase''
often the alice
genphrase''
head clean alice
genphrase''
and enjoyed alice</lang>


=={{header|Lua}}==
=={{header|Lua}}==

Revision as of 07:30, 28 September 2016

Markov chain text generator is a draft programming task. It is not yet considered ready to be promoted as a complete task, for reasons that should be found in its talk page.

This task is about coding a Text Generator using Markov Chain algorithm.

A Markov chain algorithm basically determines the next most probable suffix word for a given prefix.

To do this, a Markov chain program typically breaks an input text (training text) into a series of words, then by sliding along them in some fixed sized window, storing the first N words as a prefix and then the N + 1 word as a member of a set to choose from randomly for the suffix.

As an example, take this text with N = 2:

now he is gone she said he is gone for good

this would build the following table:

PREFIX               SUFFIX
now he               is
he is                gone, gone
is gone              she, for
gone she             said
she said             he
said he              is
gone for             good
for good             (empty) if we get at this point, the program stops generating text

To generate the final text choose a random PREFIX, if it has more than one SUFFIX, get one at random, create the new PREFIX and repeat until you have completed the text.

Following our simple example, N = 2, 8 words:

random prefix: gone she
suffix: said
new prefix: she + said
new suffix: he
new prefix: said + he
new suffix: is
... and so on

gone she said he is gone she said

The bigger the training text, the better the results. You can try this text here: alice_oz.txt

Create a program that is able to handle keys of any size (I guess keys smaller than 2 words would be pretty random text but...) and create output text also in any length. Probably you want to call your program passing those numbers as parameters. Something like: markov( "text.txt", 3, 300 )




C++

In this implementation there is no repeated suffixes!

<lang cpp>

  1. include <ctime>
  2. include <iostream>
  3. include <algorithm>
  4. include <fstream>
  5. include <string>
  6. include <vector>
  7. include <map>

class markov { public:

   void create( std::string& file, int keyLen, int words ) {
       std::ifstream f( file.c_str(), std::ios_base::in );
       fileBuffer = std::string( ( std::istreambuf_iterator<char>( f ) ), std::istreambuf_iterator<char>() );
       f.close();
       if( fileBuffer.length() < 1 ) return;
       createDictionary( keyLen );
       createText( words - keyLen );
   }

private:

   void createText( int w ) {
       std::string key, first, second;
       size_t next, pos;
       std::map<std::string, std::vector<std::string> >::iterator it = dictionary.begin();
       std::advance( it, rand() % dictionary.size() );
       key = ( *it ).first;
       std::cout << key;
       while( true ) {
           std::vector<std::string> d = dictionary[key];
           if( d.size() < 1 ) break;
           second = d[rand() % d.size()];
           if( second.length() < 1 ) break;
           std::cout << " " << second;
           if( --w < 0 ) break;
           next = key.find_first_of( 32, 0 );
           first = key.substr( next + 1 );
           key = first + " " + second;
       }
       std::cout << "\n";
   }
   void createDictionary( int kl ) {
       std::string w1, key;
       size_t wc = 0, pos, textPos, next;
       next = fileBuffer.find_first_not_of( 32, 0 );
       if( next == -1 ) return;
       while( wc < kl ) {
           pos = fileBuffer.find_first_of( ' ', next );
           w1 = fileBuffer.substr( next, pos - next );
           key += w1 + " ";
           next = fileBuffer.find_first_not_of( 32, pos + 1 );
           if( next == -1 ) return;
           wc++;
       }
       key = key.substr( 0, key.size() - 1 );
       while( true ) {
           next = fileBuffer.find_first_not_of( 32, pos + 1 );
           if( next == -1 ) return;
           pos = fileBuffer.find_first_of( 32, next );
           w1 = fileBuffer.substr( next, pos - next );
           if( w1.size() < 1 ) break;
           if( std::find( dictionary[key].begin(), dictionary[key].end(), w1 ) == dictionary[key].end() ) 
               dictionary[key].push_back( w1 );
           key = key.substr( key.find_first_of( 32 ) + 1 ) + " " + w1;
       }
   }
   std::string fileBuffer;
   std::map<std::string, std::vector<std::string> > dictionary;

}; int main( int argc, char* argv[] ) {

   srand( unsigned( time( 0 ) ) );
   markov m;
   m.create( std::string( "alice_oz.txt" ), 3, 200 );
   return 0;

} </lang>

Output:
March Hare had just upset the milk-jug into his plate. Alice did not dare to 
disobey, though she felt sure it would all come wrong, and she went on. Her 
listeners were perfectly quiet till she got to the part about her repeating 
'You are old, Father William,' said the Caterpillar. 'Well, I've tried to say 
How doth the little crocodile Improve his shining tail, And pour the waters of 
the Nile On every golden scale! 'How cheerfully he seems to grin, How neatly 
spread his claws, And welcome little fishes in With gently smiling jaws!' 
'I'm sure those are not the right words,' said poor Alice, and her eyes filled 
with tears again as she went slowly after it: 'I never was so small as this before, 
never! And I declare it's too bad, that it is!' As she said this she looked 
down into its face in some alarm. This time there were three gardeners at it, 
busily painting them red. Alice thought this a very difficult game indeed. 
The players all played at once without waiting for the end of me. But the 
tinsmith happened to come along, and he made me a body of tin, fastening my 
tin arms and


J

This seems to be reasonably close to the specification:

<lang J>require'web/gethttp'

setstats=:dyad define

 'plen slen limit'=: x
 txt=. gethttp y
 letters=. (tolower~:toupper)txt
 NB. apostrophes have letters on both sides
 apostrophes=. (_1 |.!.0 letters)*(1 |.!.0 letters)*'=txt
 parsed=. <;._1 ' ',deb ' ' (I.-.letters+apostrophes)} tolower txt
 words=: ~.parsed
 corpus=: words i.parsed
 prefixes=: ~.plen]\corpus
 suffixes=: ~.slen]\corpus
 ngrams=. (plen+slen)]\corpus
 pairs=. (prefixes i. plen{."1 ngrams),. suffixes i. plen}."1 ngrams
 stats=: (#/.~pairs) (<"1~.pairs)} (prefixes ,&# suffixes)$0
 i.0 0

)

genphrase=:3 :0

 pren=. #prefixes
 sufn=. #suffixes
 phrase=. (?pren) { prefixes
 weights=. +/\"1 stats
 totals=. (+/"1 stats),0 
 while. limit > #limit do.
   p=. prefixes i. (-plen) {. phrase
   t=. p { totals
   if. 0=t do. break.end. NB. no valid matching suffix
   s=. (p { weights) I. ?t
   phrase=. phrase, s { suffixes
 end.
 ;:inv phrase { words

)</lang>

Output:

<lang J> 2 1 50 setstats 'http://paulo-jorente.de/text/alice_oz.txt'

  genphrase

got in as alice alice

  genphrase

perhaps even alice

  genphrase

pretty milkmaid alice

  genphrase

all made of china alice

  genphrase

suit them alice was not much hurt alice

  genphrase

throat and alice looked all round alice alice

  genphrase

often the alice

  genphrase

head clean alice

  genphrase

and enjoyed alice</lang>

Lua

Not sure whether this is correct, but I am sure it is quite inefficient. Also not written very nicely.

Computes keys of all lengths <= N. During text generation, if a key does not exist in the dictionary, the last (least recent) word is removed, until a key is found (if no key at all is found, program terminates).

<lang Lua>local function pick(t)

 local i = math.ceil(math.random() * #t)
 return t[i]

end

local n_prevs = tonumber(arg[1]) or 2 local n_words = tonumber(arg[2]) or 8

local dict, wordset = {}, {} local prevs, pidx = {}, 1

local function add(word) -- add new word to dictionary

 local prev = 
 local i, len = pidx, #prevs
 for _ = 1, len do
   i = i - 1
   if i == 0 then i = len end
   if prev ~=  then prev = ' ' .. prev end
   prev = prevs[i] .. prev
   local t = dict[prev]
   if not t then
     t = {}
     dict[prev] = t
   end
   t[#t+1] = word
 end

end

for line in io.lines() do

 for word in line:gmatch("%S+") do
   wordset[word] = true
   add(word)
   prevs[pidx] = word
   pidx = pidx + 1; if pidx > n_prevs then pidx = 1 end
 end

end add()

local wordlist = {} for word in pairs(wordset) do

 wordlist[#wordlist+1] = word

end wordset = nil

math.randomseed(os.time()) math.randomseed(os.time() * math.random()) local word = pick(wordlist) local prevs, cnt = , 0

--[[ print the dictionary for prevs, nexts in pairs(dict) do

 io.write(prevs, ': ')
 for _,word in ipairs(nexts) do
   io.write(word, ' ')
 end
 io.write('\n')

end ]]

for i = 1, n_words do

 io.write(word, ' ')
 if cnt < n_prevs then
   cnt = cnt + 1
 else
   local i = prevs:find(' ')
   if i then prevs = prevs:sub(i+1) end
 end
 if prevs ~=  then prevs = prevs .. ' ' end
 prevs = prevs .. word
 local cprevs = ' ' .. prevs
 local nxt_words
 repeat
   local i = cprevs:find(' ')
   if not i then break end
   cprevs = cprevs:sub(i+1)
   if DBG then io.write('\x1b[2m', cprevs, '\x1b[m ') end
   nxt_words = dict[cprevs]
 until nxt_words
 if not nxt_words then break end
 word = pick(nxt_words)

end io.write('\n') </lang>

Output:
> ./markov.lua <alice_oz.txt 3 200
hugged the soft, stuffed body of the Scarecrow in her arms instead of kissing his
painted face, and found she was crying herself at this sorrowful parting from her
loving comrades. Glinda the Good stepped down from her ruby throne to give the
prizes?' quite a chorus of voices asked. 'Why, she, of course,' said the Dodo,
pointing to Alice with one finger; and the whole party look so grave and
anxious.) Alice could think of nothing else to do, and perhaps after all it might
tell her something worth hearing. For some minutes it puffed away without
speaking, but at last it sat down a good way off, panting, with its tongue
hanging out of its mouth again, and said, 'So you think you're changed, do you?'
'I'm afraid I don't know one,' said Alice, rather alarmed at the proposal. 'Then
the Dormouse shall!' they both cried. 'Wake up, Dormouse!' And they pinched it
on both sides at once. The Dormouse slowly opened his eyes. 'I wasn't asleep,' he
said in a low voice, 'Why the fact is, you see, Miss, we're doing our best, afore
she comes, to-' At this moment Five, who had been greatly interested in