Hi,
Your data is bad-formatted. Only one space between columns is
required. As I have repeatedly mentioned, the chunker takes the CoNLL
2000 format, which I assume you have not checked.
If you just separate the columns by a single space, the training will
be successfully completed, although it will not be of much use with
only one or two sentences in the training data.
bin/opennlp ChunkerTrainerME -params
lang/ml/PerceptronTrainerParams.txt -lang en -model vietnamese.bin
-data ~/vietnamese.txt
Indexing events using cutoff of 0
Computing event counts... done. 27 events
Indexing... done.
Collecting events... Done indexing.
Incorporating indexed data for training...
done.
Number of Event Tokens: 27
Number of Outcomes: 10
Number of Predicates: 944
Computing model parameters...
Performing 300 iterations.
1: . (8/27) 0.2962962962962963
2: . (24/27) 0.8888888888888888
3: . (27/27) 1.0
4: . (27/27) 1.0
5: . (27/27) 1.0
6: . (27/27) 1.0
Stopping: change in training set accuracy less than 1.0E-5
Stats: (27/27) 1.0
...done.
Writing chunker model ... Compressed 944 parameters to 805
39 outcome patterns
done (0.103s)
Wrote chunker model to
path: vietnamese.bin
HTH,
Rodrigo
On Tue, Jun 7, 2016 at 3:57 PM, [email protected]
<[email protected]> wrote:
> Dear Apache OpenNLP Project Team,
>
> Here are two test file for Chunker Training which we trained:
> https://www.fshare.vn/folder/WNDJBN38LYV7
>
> Would you please try to test these files for us?
>
> Thank you so much for your help.
>
> Best regards.
>
> Trung Tran.
>
>
>
> On 06/04/2016 04:30 AM, [email protected] wrote:
>>
>> Dear Apache OpenNLP Project Team,
>>
>> We really appreciate that you provides the wonderful tools OpenNLG and we
>> already successfully trained with most (Tokenizer, POS Tagger).
>>
>> There is only one small problem (we really believe this) that I described
>> below when training with Chunker.
>>
>> I hope that you will re-test and give us some information soon so that we
>> can fix this critical point.
>>
>> By the way, you are always amazing team :)
>>
>> Thank you so much for your help.
>>
>> Best regards,
>>
>> Trung Tran.
>>
>>
>> On 05/27/2016 08:23 AM, [email protected] wrote:
>>>
>>> Dear Apache OpenNLP Project Team,
>>>
>>> To help you reproduce the situation, I describe the experiment step by
>>> step here:
>>>
>>> - Firstly, I read carefully the instruction on the site
>>> (https://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.chunker.training):
>>>
>>> " The training data can be converted to the OpenNLP chunker training
>>> format, that is based onCoNLL2000
>>> <http://www.cnts.ua.ac.be/conll2000/chunking>. Other formats may also be
>>> available. The train data consist of three columns separated by spaces. Each
>>> word has been put on a separate line and there is an empty line after each
>>> sentence. The first column contains the current word, the second its
>>> part-of-speech tag and the third its chunk tag. The chunk tags contain the
>>> name of the chunk type, for example I-NP for noun phrase words and I-VP for
>>> verb phrase words. Most chunk types have two types of chunk tags, B-CHUNK
>>> for the first word of the chunk and I-CHUNK for each other word in the
>>> chunk. Here is an example of the file format:"
>>>
>>> - Secondly, I created two tested file ".txt". The first file contains
>>> only one sample sentence on the site:
>>>
>>> He PRP B-NP
>>> reckons VBZ B-VP
>>> the DT B-NP
>>> current JJ I-NP
>>> account NN I-NP
>>> deficit NN I-NP
>>> will MD B-VP
>>> narrow VB I-VP
>>> to TO B-PP
>>> only RB B-NP
>>> # # I-NP
>>> 1.8 CD I-NP
>>> billion CD I-NP
>>> in IN B-PP
>>> September NNP B-NP
>>> . . O
>>>
>>> - The second tested file contains 300 Vietnamese sentences. As
>>> described on the site: Each word has been put on a separate line and there
>>> is an empty line after each sentence..
>>>
>>> - Thirdly, I ran the program 2 times to train these two files. With
>>> both times, I had the same error, right after reading the first sentence.
>>>
>>> Would you please point out that I misses something?
>>>
>>> PS: I trained Tokenizer and POS Tagger successfully according to the
>>> instruction on this site :)
>>>
>>> Thank you so much for helping me.
>>>
>>> Best regards,
>>>
>>> Trung Tran.
>>>
>>>
>>> On 05/26/2016 07:49 PM, [email protected] wrote:
>>>>
>>>> Dear Apache OpenNLP Project Team,
>>>
>>>
>>>> I have re-tested with sample sentence in the site
>>>> (https://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.chunker.training)
>>>> :
>>>>
>>>> He PRP B-NP
>>>> reckons VBZ B-VP
>>>> the DT B-NP
>>>> current JJ I-NP
>>>> account NN I-NP
>>>> deficit NN I-NP
>>>> will MD B-VP
>>>> narrow VB I-VP
>>>> to TO B-PP
>>>> only RB B-NP
>>>> # # I-NP
>>>> 1.8 CD I-NP
>>>> billion CD I-NP
>>>> in IN B-PP
>>>> September NNP B-NP
>>>> . . O
>>>> And I still receive the same error:
>>>>
>>>> Skipping corrupt line: He PRP B-NPreckons VBZ B-VPthe DT
>>>> B-NPcurrent JJ I-NPaccount NN I-NPdeficit NN I-NPwill MD
>>>> B-VPnarrow VB I-VPto TO B-PPonly RB B-NP# #
>>>> I-NP1.8 CD I-NPbillion CD I-NPin IN B-PPSeptember NNP
>>>> B-NP. . O
>>>> Exception in thread "AWT-EventQueue-0"
>>>> java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
>>>> at java.util.ArrayList.rangeCheck(ArrayList.java:653)
>>>> at java.util.ArrayList.get(ArrayList.java:429)
>>>> at
>>>> opennlp.tools.ml.model.AbstractDataIndexer.sortAndMerge(AbstractDataIndexer.java:89)
>>>> at
>>>> opennlp.tools.ml.model.TwoPassDataIndexer.<init>(TwoPassDataIndexer.java:105)
>>>> at
>>>> opennlp.tools.ml.AbstractEventTrainer.getDataIndexer(AbstractEventTrainer.java:74)
>>>> at
>>>> opennlp.tools.ml.AbstractEventTrainer.train(AbstractEventTrainer.java:91)
>>>> at opennlp.tools.chunker.ChunkerME.train(ChunkerME.java:217)
>>>> at
>>>> form.UtilitiesForm.handleTrainingTreebankWithApacheChunker(UtilitiesForm.java:2989)
>>>> at
>>>> form.UtilitiesForm.jmnitLoadTreebankActionPerformed(UtilitiesForm.java:1166)
>>>> at form.UtilitiesForm.access$1400(UtilitiesForm.java:108)
>>>> at form.UtilitiesForm$17.actionPerformed(UtilitiesForm.java:901)
>>>> at
>>>> javax.swing.AbstractButton.fireActionPerformed(AbstractButton.java:2022)
>>>> at
>>>> javax.swing.AbstractButton$Handler.actionPerformed(AbstractButton.java:2348)
>>>> at
>>>> javax.swing.DefaultButtonModel.fireActionPerformed(DefaultButtonModel.java:402)
>>>> at
>>>> javax.swing.DefaultButtonModel.setPressed(DefaultButtonModel.java:259)
>>>> at javax.swing.AbstractButton.doClick(AbstractButton.java:376)
>>>> at
>>>> javax.swing.plaf.basic.BasicMenuItemUI.doClick(BasicMenuItemUI.java:833)
>>>> at
>>>> javax.swing.plaf.basic.BasicMenuItemUI$Handler.mouseReleased(BasicMenuItemUI.java:877)
>>>> at java.awt.Component.processMouseEvent(Component.java:6535)
>>>> at javax.swing.JComponent.processMouseEvent(JComponent.java:3324)
>>>> at java.awt.Component.processEvent(Component.java:6300)
>>>> at java.awt.Container.processEvent(Container.java:2236)
>>>> at java.awt.Component.dispatchEventImpl(Component.java:4891)
>>>> at java.awt.Container.dispatchEventImpl(Container.java:2294)
>>>> at java.awt.Component.dispatchEvent(Component.java:4713)
>>>> at
>>>> java.awt.LightweightDispatcher.retargetMouseEvent(Container.java:4888)
>>>> at
>>>> java.awt.LightweightDispatcher.processMouseEvent(Container.java:4525)
>>>> at java.awt.LightweightDispatcher.dispatchEvent(Container.java:4466)
>>>> at java.awt.Container.dispatchEventImpl(Container.java:2280)
>>>> at java.awt.Window.dispatchEventImpl(Window.java:2750)
>>>> at java.awt.Component.dispatchEvent(Component.java:4713)
>>>> at java.awt.EventQueue.dispatchEventImpl(EventQueue.java:758)
>>>> at java.awt.EventQueue.access$500(EventQueue.java:97)
>>>> at java.awt.EventQueue$3.run(EventQueue.java:709)
>>>> at java.awt.EventQueue$3.run(EventQueue.java:703)
>>>> at java.security.AccessController.doPrivileged(Native Method)
>>>> at
>>>> java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:76)
>>>> at
>>>> java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:86)
>>>> at java.awt.EventQueue$4.run(EventQueue.java:731)
>>>> at java.awt.EventQueue$4.run(EventQueue.java:729)
>>>> at java.security.AccessController.doPrivileged(Native Method)
>>>> at
>>>> java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:76)
>>>> at java.awt.EventQueue.dispatchEvent(EventQueue.java:728)
>>>> at
>>>> java.awt.EventDispatchThread.pumpOneEventForFilters(EventDispatchThread.java:201)
>>>> at
>>>> java.awt.EventDispatchThread.pumpEventsForFilter(EventDispatchThread.java:116)
>>>> at
>>>> java.awt.EventDispatchThread.pumpEventsForHierarchy(EventDispatchThread.java:105)
>>>> at
>>>> java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:101)
>>>> at
>>>> java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:93)
>>>> at java.awt.EventDispatchThread.run(EventDispatchThread.java:82)
>>>> Sorting and merging events...
>>>>
>>>> Here are whole java code:
>>>>
>>>> try {
>>>> Charset charset = Charset.forName("UTF-8");
>>>> File fileChunker = new File("trainApacheChunker.txt");
>>>> MarkableFileInputStreamFactory i = new
>>>> MarkableFileInputStreamFactory(fileChunker);
>>>> ObjectStream lineStream = new PlainTextByLineStream(i,
>>>> charset);
>>>> ObjectStream<ChunkSample> sampleStream = new
>>>> ChunkSampleStream(lineStream);
>>>>
>>>> chunkerModel = ChunkerME.train("en", sampleStream,
>>>> TrainingParameters.defaultParams(), new ChunkerFactory());
>>>>
>>>> modelApacheChunkerPath = "chunkerModel.bin";
>>>> OutputStream modelOut = new BufferedOutputStream(new
>>>> FileOutputStream(modelApacheChunkerPath));
>>>> chunkerModel.serialize(modelOut);
>>>> } catch (FileNotFoundException fe) {
>>>>
>>>> } catch (IOException ie) {
>>>>
>>>> }
>>>>
>>>> Would you please check this point for me?
>>>>
>>>> Thank you so much for your help.
>>>>
>>>> Best regards,
>>>>
>>>> Trung Tran.
>>>>
>>>>
>>>> On 05/18/2016 04:56 AM, [email protected] wrote:
>>>>>
>>>>> Dear Apache OpenNLP Project Team,
>>>>>
>>>>> Thank you so much for giving me very useful information about class (
>>>>>
>>>>> /opennlp-tools/src/main/java/opennlp/tools/chunker/ChunkSampleStream.java
>>>>> )
>>>>>
>>>>> It works very well.
>>>>>
>>>>> There is one more point: I have error when train Vietnamese sentences
>>>>> (more than 2 sentences in one training file).
>>>>>
>>>>> Here is 2 example sentences in file trainChunker.txt:
>>>>>
>>>>> buo^?i _T_C B-ADVP
>>>>> tru+a _T_C I-ADVP
>>>>> , , O
>>>>> cu+`u A_C B-NP
>>>>> cha.y IT_M B-VP
>>>>> theo IT_M I-VP
>>>>> me. H_C I-VP
>>>>> ra IT_M B-PP
>>>>> bo+` S_C I-PP
>>>>> suo^'i S_C I-PP
>>>>> . . O
>>>>>
>>>>> nó C_N_T B-NP
>>>>> tha^'y S_P B-VP
>>>>> ba^`y A_G B-NP
>>>>> hu+o+u A_C I-NP
>>>>> nai A_C I-NP
>>>>> ?ã ST_P_S B-CONJP
>>>>> o+? IT_P_C B-PP
>>>>> ?a^'y C_N_T I-PP
>>>>> ro^`i T_G I-PP
>>>>> . . O
>>>>>
>>>>> Here is the error right after train the first sentence:
>>>>>
>>>>> Skipping corrupt line: buo^?i _T_C B-ADVP
>>>>> Skipping corrupt line: tru+a _T_C I-ADVP
>>>>> Skipping corrupt line: , , O
>>>>> Skipping corrupt line: cu+`u A_C B-NP
>>>>> Skipping corrupt line: cha.y IT_M B-VP
>>>>> Skipping corrupt line: theo IT_M I-VP
>>>>> Skipping corrupt line: me. H_C I-VP
>>>>> Skipping corrupt line: ra IT_M B-PP
>>>>> Skipping corrupt line: bo+` S_C I-PP
>>>>> Skipping corrupt line: suo^'i S_C I-PP
>>>>> Skipping corrupt line: . . O
>>>>> Exception in thread "AWT-EventQueue-0"
>>>>> java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
>>>>> at java.util.ArrayList.rangeCheck(ArrayList.java:653)
>>>>> at java.util.ArrayList.get(ArrayList.java:429)
>>>>> at
>>>>> opennlp.tools.ml.model.AbstractDataIndexer.sortAndMerge(AbstractDataIndexer.java:89)
>>>>> at
>>>>> opennlp.tools.ml.model.TwoPassDataIndexer.<init>(TwoPassDataIndexer.java:105)
>>>>> at
>>>>> opennlp.tools.ml.AbstractEventTrainer.getDataIndexer(AbstractEventTrainer.java:74)
>>>>> at
>>>>> opennlp.tools.ml.AbstractEventTrainer.train(AbstractEventTrainer.java:91)
>>>>> at opennlp.tools.chunker.ChunkerME.train(ChunkerME.java:217)
>>>>> at
>>>>> form.UtilitiesForm.handleTrainingTreebankWithApacheChunker(UtilitiesForm.java:2939)
>>>>> at
>>>>> form.UtilitiesForm.jmnitLoadTreebankActionPerformed(UtilitiesForm.java:1136)
>>>>> at form.UtilitiesForm.access$1400(UtilitiesForm.java:108)
>>>>> at form.UtilitiesForm$17.actionPerformed(UtilitiesForm.java:901)
>>>>> at
>>>>> javax.swing.AbstractButton.fireActionPerformed(AbstractButton.java:2022)
>>>>> at
>>>>> javax.swing.AbstractButton$Handler.actionPerformed(AbstractButton.java:2348)
>>>>> at
>>>>> javax.swing.DefaultButtonModel.fireActionPerformed(DefaultButtonModel.java:402)
>>>>> at
>>>>> javax.swing.DefaultButtonModel.setPressed(DefaultButtonModel.java:259)
>>>>> at javax.swing.AbstractButton.doClick(AbstractButton.java:376)
>>>>> at
>>>>> javax.swing.plaf.basic.BasicMenuItemUI.doClick(BasicMenuItemUI.java:833)
>>>>> at
>>>>> javax.swing.plaf.basic.BasicMenuItemUI$Handler.mouseReleased(BasicMenuItemUI.java:877)
>>>>> Sorting and merging events... at
>>>>> java.awt.Component.processMouseEvent(Component.java:6535)
>>>>> at javax.swing.JComponent.processMouseEvent(JComponent.java:3324)
>>>>> at java.awt.Component.processEvent(Component.java:6300)
>>>>> at java.awt.Container.processEvent(Container.java:2236)
>>>>> at java.awt.Component.dispatchEventImpl(Component.java:4891)
>>>>> at java.awt.Container.dispatchEventImpl(Container.java:2294)
>>>>> at java.awt.Component.dispatchEvent(Component.java:4713)
>>>>> at
>>>>> java.awt.LightweightDispatcher.retargetMouseEvent(Container.java:4888)
>>>>> at
>>>>> java.awt.LightweightDispatcher.processMouseEvent(Container.java:4525)
>>>>> at
>>>>> java.awt.LightweightDispatcher.dispatchEvent(Container.java:4466)
>>>>> at java.awt.Container.dispatchEventImpl(Container.java:2280)
>>>>> at java.awt.Window.dispatchEventImpl(Window.java:2750)
>>>>> at java.awt.Component.dispatchEvent(Component.java:4713)
>>>>> at java.awt.EventQueue.dispatchEventImpl(EventQueue.java:758)
>>>>> at java.awt.EventQueue.access$500(EventQueue.java:97)
>>>>> at java.awt.EventQueue$3.run(EventQueue.java:709)
>>>>> at java.awt.EventQueue$3.run(EventQueue.java:703)
>>>>> at java.security.AccessController.doPrivileged(Native Method)
>>>>> at
>>>>> java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:76)
>>>>> at
>>>>> java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:86)
>>>>> at java.awt.EventQueue$4.run(EventQueue.java:731)
>>>>> at java.awt.EventQueue$4.run(EventQueue.java:729)
>>>>> at java.security.AccessController.doPrivileged(Native Method)
>>>>> at
>>>>> java.security.ProtectionDomain$JavaSecurityAccessImpl.doIntersectionPrivilege(ProtectionDomain.java:76)
>>>>> at java.awt.EventQueue.dispatchEvent(EventQueue.java:728)
>>>>> at
>>>>> java.awt.EventDispatchThread.pumpOneEventForFilters(EventDispatchThread.java:201)
>>>>> at
>>>>> java.awt.EventDispatchThread.pumpEventsForFilter(EventDispatchThread.java:116)
>>>>> at
>>>>> java.awt.EventDispatchThread.pumpEventsForHierarchy(EventDispatchThread.java:105)
>>>>> at
>>>>> java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:101)
>>>>> at
>>>>> java.awt.EventDispatchThread.pumpEvents(EventDispatchThread.java:93)
>>>>> at java.awt.EventDispatchThread.run(EventDispatchThread.java:82)
>>>>>
>>>>> Would you please check these points for me?
>>>>>
>>>>> Thank you so much for your help.
>>>>>
>>>>> Best regards,
>>>>>
>>>>> Trung Tran.
>>>>>
>>>>> On 05/17/2016 08:15 PM, [email protected] wrote:
>>>>>>
>>>>>> Dear Apache OpenNLP Project Team,
>>>>>>
>>>>>> I have another error with command line tool:
>>>>>>
>>>>>> - I did exactly as information in site
>>>>>> (https://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.chunker.training.tool):
>>>>>>
>>>>>> E:\test\apache-opennlp-1.5.3\bin>opennlp.bat ChunkerTrainerME -model
>>>>>> E:\test\en-chunker.bin -lang en -data E:\test\tmp.txt -encoding UTF-8
>>>>>>
>>>>>> File test only contains sample sentence as in the site :
>>>>>>
>>>>>> He PRP B-NP
>>>>>> reckons VBZ B-VP
>>>>>> the DT B-NP
>>>>>> current JJ I-NP
>>>>>> account NN I-NP
>>>>>> deficit NN I-NP
>>>>>> will MD B-VP
>>>>>> narrow VB I-VP
>>>>>> to TO B-PP
>>>>>> only RB B-NP
>>>>>> # # I-NP
>>>>>> 1.8 CD I-NP
>>>>>> billion CD I-NP
>>>>>> in IN B-PP
>>>>>> September NNP B-NP
>>>>>> . . O
>>>>>> And here is the error:
>>>>>>
>>>>>> Computing event counts... done. 0 events
>>>>>> Indexing... done.
>>>>>> Sorting and merging events... Done indexing.
>>>>>> Incorporating indexed data for training...
>>>>>> Exception in thread "main" java.lang.NullPointerException
>>>>>> at opennlp.maxent.GISTrainer.trainModel(GISTrainer.java:263)
>>>>>> at opennlp.maxent.GIS.trainModel(GIS.java:256)
>>>>>> at opennlp.model.TrainUtil.train(TrainUtil.java:184)
>>>>>> at opennlp.tools.chunker.ChunkerME.train(ChunkerME.java:214)
>>>>>> at
>>>>>> opennlp.tools.cmdline.chunker.ChunkerTrainerTool.run(ChunkerTrainerTo
>>>>>> ol.java:68)
>>>>>> at opennlp.tools.cmdline.CLI.main(CLI.java:222)
>>>>>>
>>>>>>
>>>>>> Another point: The function cannot read more than 2 sentence in one
>>>>>> train file.
>>>>>>
>>>>>> Would you please check these points for me?
>>>>>>
>>>>>> Thank you so much for your help.
>>>>>>
>>>>>> Best regards,
>>>>>>
>>>>>> Trung Tran.
>>>>>>
>>>>>> On 05/17/2016 02:06 PM, [email protected] wrote:
>>>>>>>
>>>>>>> Dear Apache OpenNLP Project Team,
>>>>>>>
>>>>>>> I have an critical issue when training with Chunker tool in Java:
>>>>>>>
>>>>>>> - Firstly, the sample code in documentation site
>>>>>>> (https://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html#tools.chunker.training.api)
>>>>>>> is not work, both for version 1.5.3 and 1.6.0
>>>>>>>
>>>>>>> - Secondly, I have to edit the codes myself to (using version
>>>>>>> 1.5.3):
>>>>>>>
>>>>>>> try {
>>>>>>> Charset charset = Charset.forName("UTF-8");
>>>>>>> ObjectStream lineStream = new PlainTextByLineStream(new
>>>>>>> FileInputStream(fileChunker), charset);
>>>>>>> ObjectStream<ChunkSample> sampleStream = new
>>>>>>> ChunkSampleStream(lineStream);
>>>>>>>
>>>>>>> chunkerModel = ChunkerME.train("vn", sampleStream,
>>>>>>> TrainingParameters.defaultParams(), new ChunkerFactory());
>>>>>>>
>>>>>>> modelApacheChunkerPath =
>>>>>>> UtilityHelper.getTemporaryFilePathInsideDir("chunkerModel.bin");
>>>>>>> OutputStream modelOut = new BufferedOutputStream(new
>>>>>>> FileOutputStream(modelApacheChunkerPath));
>>>>>>> chunkerModel.serialize(modelOut);
>>>>>>> } catch (FileNotFoundException fe) {
>>>>>>>
>>>>>>> } catch (IOException ie) {
>>>>>>>
>>>>>>> }
>>>>>>>
>>>>>>> - Thirdly, I have the error "java.lang.String cannot be cast to
>>>>>>> opennlp.tools.parser.Parse". The reason is:
>>>>>>>
>>>>>>> + The constructor of class ChunkSampleStream requires
>>>>>>> parameter is "ObjectStream<Parse> in"
>>>>>>>
>>>>>>> + However, the second parameter of method ChunkerME.train
>>>>>>> is "ObjectStream<ChunkSample> in"
>>>>>>>
>>>>>>> I cannot find any way to work around this issue.
>>>>>>>
>>>>>>> Would you please check this point for me?
>>>>>>>
>>>>>>> Thank you so much for your help.
>>>>>>>
>>>>>>> Best regards,
>>>>>>>
>>>>>>> Trung Tran.
>>>>>>
>>>>>>
>>>>>
>>>>
>>>
>>
>
