Ejemplo n.º 1
0
        static void Phase1()
        {
            List <Word> words2 = ParsingTools.GetListOfWords(ParsingTools.ProjectDirectory + "training_dataset.txt");

            words2.AddRange(ParsingTools.GetListOfWords(ParsingTools.ProjectDirectory + "testing_dataset.txt"));


            loadTests(words2);

            // while (true)
            // {
            Console.WriteLine("Enter a seed word:");
            string searchNext = Console.ReadLine();

            Console.WriteLine("Enter how many words to generate:");
            int genNum = Convert.ToInt32(Console.ReadLine());

            Console.WriteLine();
            for (int n = 0; n < genNum; n++)
            {
                WordAndPercentage answer = predictNextWord(searchNext);
                searchNext = answer.word;
                Console.Write(searchNext + " ");
            }
        }
Ejemplo n.º 2
0
        /*
         * static WordAndPercentage predictNextWord(string word)
         * {
         *  if (wordAndNextWords.ContainsKey(word))
         *  {
         *      string topWord = "";
         *      int times = 0;
         *      int total = 0;
         *      foreach(KeyValuePair<string, int> pair in wordAndNextWords[word])
         *      {
         *          if(pair.Value > times)
         *          {
         *              topWord = pair.Key;
         *              times = pair.Value;
         *          }
         *          total++;
         *      }
         *      double percent = (double)times / (double)total;
         *      return new WordAndPercentage(topWord, percent);
         *  }
         *  return new WordAndPercentage("word isn't in database", 100);
         * }
         */

        static WordAndPercentage predictNextWord(string word)
        {
            WordAndPercentage w = getTopWord(word);

            if (w == null)
            {
                return(new WordAndPercentage("Word does not exist", 0));
            }
            return(w);
        }
Ejemplo n.º 3
0
        public static void printWordPredictorMatrix(Dictionary <string, List <WordAndPercentage> > model, List <string> myDictionary)
        {
            StringBuilder output = new StringBuilder();



            int max = 50;


            for (int row = 0; row < myDictionary.Count; row++)
            {
                string from = myDictionary[row];
                output.Append(from.escape() + ",");

                for (int col = 0; col < myDictionary.Count; col++)
                {
                    string            to   = myDictionary[col];
                    WordAndPercentage wpTo = null;
                    if (!model.ContainsKey(from) || (wpTo = model[from].find(to)) == null)
                    {
                        ;
                    }
                    else
                    {
                        output.Append((wpTo.word + "---" + wpTo.percent.ToString()).escape() + ",");
                    }

                    if (col > max)
                    {
                        break;
                    }
                }

                output.AppendLine();
                //System.IO.File.AppendAllText("predictor.csv", output.ToString());
                //output.Clear();
                if (row > max)
                {
                    break;
                }
            }

            System.IO.File.WriteAllText("predictor.csv", output.ToString());
        }