Extracting Nouns and Verbs from Text

Strictly speaking it's not possible without detailed syntactic analysis of the text, which has the same level of complexity as automatic translation. Oh, what am I even talking about?! There are cases when it is theoretically impossible to tell — the same text can allow more than one interpretation.

In English, it is especially easy to construct examples like that. What language do you want to use?

In some languages, such task cannot not be even formulated as they don't have nouns and verbs.

—SA

Well the i have google alot for extracting them separately and finally i got an idea .
If you are using sharp NLP Than Apply pos tagging and Apply if condition to retrieve specific tags like noun and verbs.And i am getting only NNP tags.
Here is a little effort.

richTextBox1.Show();
            StringBuilder output = new StringBuilder();

            string[] sentences = SplitSentences(rt2.Text);


            foreach (string sentence in sentences)
            {
                string[] tokens = TokenizeSentence(sentence);
                string[] tags = PosTagTokens(tokens);

                for (int currentTag = 0; currentTag < tags.Length; currentTag++)
                {
                  //  output.Append(tokens[currentTag]).Append("/").Append(tags[currentTag]).Append("  ");
                    
                    if (tags[currentTag] == "NNP")
                    {
                        output.Append(tokens[currentTag]).Append("/").Append(tags[currentTag]).Append("  ");
                    }
                }
                
                output.Append("\r\n\r\n");
            }

            richTextBox1.Text = output.ToString();
        }