Prototype machine translator

From dandi08

This code creates the 2nd line of an IGT for a Latin phrase.

It will crash if any input is not found in the dictionary.

Also, we need to find a way to differentiate between endings that occur in more than one grammatical case.

Please ignore the blue boxes. This is a subtlety of wiki formatting I have yet to grasp. If you copy and past the entire code below into the Python editor, it should run.

---

VerbBaseDict = {"vid":"\"see\"", "or":"\"pray\"","ven":"\"come\"", "dic":"\"say\""}

VerbGramDict = {"o":"1P SG", "eo":"1P SG", "io":"1P SG", "as":"2P SING", "es":"2P SG", "is":"2P SG", "at":"3P SING", "et":"3P SG", "it":"3P SG", "amus":"1P PL", "emus":"1P PL", "imus":"1P PL", "atis":"2P PL", "etis":"2P PL", "itis":"2P PL", "ant":"3P PL", "ent":"3P PL", "unt":"3P PL", "iunt":"3P PL"}

NounBaseDict = {"puell":"\"girl\"","mens":"\"table\"", "terr":"\"earth\"", "agricol":"\"farmer\"", "stell":"\"star\"", "mund":"\"world\"", "ocul":"\"eye\"", "cibus":"\"food\"", "vin":"\"wine\"", "tect":"\"roof\"","multitud":"\"crowd\"", "di":"\"day\""}

NounGramDict = {"a":"NOM SG or NOM PL or ACC PL", "ae":"NOM PL", "am":"ACC SG", "as":"ACC SG", "us":"NOM SG", "i":"NOM PL", "um":"ACC SG", "os":"ACC PL", "er":"NOM SG","es":"NOM SG or NOM PL or ACC PL", "em":"ACC SG"}

def Morphemizer(word,wordlen,phrase):

   sentry = True
   while sentry:
       for x in range(wordlen+1):
           s = (wordlen-(wordlen-x))
           substring = word[:s]

           if substring in NounBaseDict:
               root = substring
               affix = word [s:]
               entries = NounBaseDict[root]+NounGramDict[affix]+" "
               sentry = False
           
           if substring in VerbBaseDict:
               root = substring
               affix = word [s:]
               entries = VerbBaseDict[root]+VerbGramDict[affix]+" "
               sentry = False

           else:
               sentry = False
              
   return entries

def main():

   phrase = raw_input("type your Latin phrase here: ")

   words = phrase.split()

   line2 =""
   for word in words:
       wordlen = len(word)
       entries = Morphemizer(word,wordlen,phrase)
       line2 = line2 + entries
   print phrase
   
   print line2
       

main()