Adding the API and all required files!

Author: mohsenim

README.md

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+## Persianp Processing Toolbox
+
+Persianp is a text processing tool developed in Java to accomplish preprocessing tasks in Persian texts. The toolbox accomplishes following task:
+* Character-level normalization
+* Tokenization
+* Lemmatization
+* POS tagging
+* Stopword detection
+* Noun phrase chunking
+
+### Using Persianp from the command line
+Be sure folder 'res' is next to the 'jar' file.
+
+'''bash
+$ java -cp persianp-toolbox-1.0.jar com.persianp.nlp.process.Process -input inputfile.txt -output outputfile.txt -task (tokenize|tag|lemmatize|taglemmatize) [-nostopword] [-prop propertyFile.properties]
+'''
+
+At the moment NP chunking is not supported from the comand line.
+
+### Using the Persianp API
+Add the API to libraries of your program. The following example shows how to use the toolbox.
+
+'''
+public class TestPersianp { 
+
+    public static void main(String[] args) { 
+        TestPersianp testPersianp = new TestPersianp(); 
+        testPersianp.process(); 
+    } 
+
+    private void process() { 
+        try { 
+            Properties properties = new Properties(); 
+            properties.load(this.getClass().getClassLoader().getResourceAsStream("persianp.properties"));
+            Process process = new Process(properties); 
+            InputStream in = this.getClass().getClassLoader().getResourceAsStream("testText.txt");
+            BufferedReader br = new BufferedReader(new InputStreamReader(in, "UTF-8"));
+            String line; 
+            while ((line = br.readLine()) != null) { 
+                process.process(line); 
+
+                System.out.println(process.getText()); 
+//                process.getTokens(); 
+//                process.getTokensText(); 
+//                process.getTags(); 
+//                process.getChunkTag(); 
+//                process.getLemmas(); 
+//                process.getNonStopwordTokens(); 
+
+                int sentenceSize = process.getSentencesSize(); 
+                for (int j = 0; j < sentenceSize; ++j) { 
+//                    List tokensText = process.getTokensTextInSentence(j); 
+//                    List tags = process.getTagsInSentence(j); 
+//                    List lemmas = process.getLemmasInSentence(j); 
+                    List tokens = process.getTokensInSentence(j); 
+                    for (int k = 0; k < tokens.size(); ++k) { 
+                        System.out.println(tokens.get(k).getText() + "\t\t\t" + tokens.get(k).getLemma() + "\t\t\t" + tokens.get(k).getTag());
+                    } 
+                } 
+            } 
+            in.close(); 
+            br.close(); 
+        } catch (Exception e){ 
+            e.printStackTrace(); 
+        } 
+    } 
+} 
+
+'''
+
+### More Information / Citing This Toolbox
+Please cite the paper below if you use the Persianp toolbox in your research. It also provides more information about the toolbox.
+
+> Mahdi Mohseni, Javad Ghofrani, Heshaam Faili
+> Persianp: A Persian Text Processing Toolbox
+> International Conference on Intelligent Text Processing and Computational Linguistics
+CICLing 2016: Computational Linguistics and Intelligent Text Processing pp 75-87
+
+Bibtex citation:
+
+'''
+@InProceedings{Persianp2016,
+author="Mohseni, Mahdi
+and Ghofrani, Javad
+and Faili, Heshaam",
+title="Persianp: A Persian Text Processing Toolbox",
+booktitle="Computational Linguistics and Intelligent Text Processing",
+year="2018",
+publisher="Springer International Publishing",
+pages="75--87",
+isbn="978-3-319-75477-2"
+}
+'''
+

persianp-public-1.0-SNAPSHOT.jar

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res/c.m

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res/fi.t

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