/// <summary>
/// Setup extended tagger that includes POS, lemma and entity analysis
/// </summary>
private void SetupExtendedTagger()
{
PerformanceTester.StartMET("NLP");
// Get path to Stanford NLP models
var jarRoot = Path.Combine(Utility.GetResourcesFolder(), @"stanford-corenlp-3.9.2-models");
// Turn off logging
RedwoodConfiguration.current().clear().apply();
var props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner");
// Makes Named Entity Recognition work in the library
props.setProperty("ner.useSUTime", "0");
props.put("ner.applyFineGrained", "0");
props.put("ner.fine.regexner.mapping", jarRoot + @"\edu\stanford\nlp\models\kbp\english\");
// Set current directory
var curDir = Environment.CurrentDirectory;
var modelsDirectory = curDir + "\\" + jarRoot + @"\edu\stanford\nlp\models";
Directory.SetCurrentDirectory(jarRoot);
// Load Stanford NLP
Tagger = new StanfordCoreNLP(props);
PerformanceTester.StopMET("NLP");
}
/// <summary>
///
/// </summary>
/// <param name="jarRootPath">Path to the folder with models extracted from 'stanford-corenlp-3.5.2-models.jar'</param>
public StanfordLemmatizer(string jarRootPath)
{
if (!Directory.Exists(jarRootPath))
{
string fullPath = Path.GetFullPath(jarRootPath);
throw new DirectoryNotFoundException("Folder(s) extracted from 'stanford-corenlp-3.5.2-models.jar' was not found in path: . " +
"-->" + fullPath + "<--. " +
"Please make sure correct path is listed in .config file.");
}
// Set properties required for lemma
java.util.Properties props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma");
props.setProperty("ner.useSUTime", "0");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
string curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(jarRootPath);
_pipeLine = new StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
// Instantiate annotation
_sentencesAnnotation = new CoreAnnotations.SentencesAnnotation();
_tokensAnnotation = new CoreAnnotations.TokensAnnotation();
_lemmaAnnotation = new CoreAnnotations.LemmaAnnotation();
}
public Task SendEMail()
{
// Z:\jsc.svn\examples\java\hybrid\ubuntu\UbuntuCommonsEmail\Program.cs
// https://developers.google.com/appengine/docs/java/mail/usingjavamail
Properties props = new Properties();
Session session = Session.getDefaultInstance(props, null);
try
{
Message msg = new MimeMessage(session);
//msg.setFrom(new InternetAddress("*****@*****.**", "Example.com Admin"));
msg.setFrom(new InternetAddress(FromAddress, FromName));
//msg.addRecipient(Message.RecipientType.TO, new InternetAddress("*****@*****.**", "Mr. User"));
msg.addRecipient(Message.RecipientType.TO, new InternetAddress(ToAddress, ToName));
//msg.setSubject("Your Example.com account has been activated");
msg.setSubject(Subject);
//msg.setText(msgBody);
msg.setText(MessageString);
Transport.send(msg);
}
catch
{
Console.WriteLine("fail!");
}
return Task.FromResult(default(object));
}
static void Main(string[] args)
{
var host = "192.168.33.12:9092";
var topic = "test2";
var count = 50000000;
var size = 100;
var prop = new Properties();
prop.setProperty("bootstrap.servers", "192.168.33.12:9092");
prop.setProperty("acks", "1");
prop.setProperty("buffer.memory", "67108864");
prop.setProperty("batch.size", "8196");
var producer = new KafkaProducer(prop, new ByteArraySerializer(), new ByteArraySerializer());
var payload = new byte[size];
for (int i = 0; i < size; i++)
payload[i] = (byte)'a';
var record = new ProducerRecord(topic, payload);
var stats = new Stats(count, 5000, Console.WriteLine);
for (int i = 0; i < count; i++)
{
//var payload = Encoding.UTF8.GetBytes(i.ToString());
//var record = new ProducerRecord(topic, payload);
var sendStart = DateTimeExtensions.CurrentTimeMillis();
var cb = new StatsCallback { Action = stats.NextCompletion(sendStart, payload.Length, stats) };
producer.send(record, cb);
}
producer.close();
stats.PrintTotal();
}
static void Main()
{
// Path to the folder with models extracted from `stanford-corenlp-3.7.0-models.jar`
var jarRoot = @"..\..\..\..\paket-files\nlp.stanford.edu\stanford-corenlp-full-2016-10-31\models";
// Text for processing
var text = "Kosgi Santosh sent an email to Stanford University. He didn't get a reply.";
// Annotation pipeline configuration
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, parse, ner,dcoref");
props.setProperty("ner.useSUTime", "0");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
var curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(jarRoot);
var pipeline = new StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
// Annotation
var annotation = new Annotation(text);
pipeline.annotate(annotation);
// Result - Pretty Print
using (var stream = new ByteArrayOutputStream())
{
pipeline.prettyPrint(annotation, new PrintWriter(stream));
Console.WriteLine(stream.toString());
stream.close();
}
}
public void StanfordCoreNlpDemoThatChangeCurrentDirectory()
{
const string Text = "Kosgi Santosh sent an email to Stanford University. He didn't get a reply.";
// Annotation pipeline configuration
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("sutime.binders", "0");
// we should change current directory so StanfordCoreNLP could find all the model files
var curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(Config.JarRoot);
var pipeline = new edu.stanford.nlp.pipeline.StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
// Annotation
var annotation = new Annotation(Text);
pipeline.annotate(annotation);
// Result - Pretty Print
using (var stream = new ByteArrayOutputStream())
{
pipeline.prettyPrint(annotation, new PrintWriter(stream));
Console.WriteLine(stream.toString());
}
this.CustomAnnotationPrint(annotation);
}
static void Main()
{
// Path to the folder with models
var segmenterData = @"..\..\..\..\paket-files\nlp.stanford.edu\stanford-segmenter-2015-12-09\data";
var sampleData = @"..\..\..\..\paket-files\nlp.stanford.edu\stanford-segmenter-2015-12-09\test.simp.utf8";
// `test.simple.utf8` contains following text:
// 面对新世纪，世界各国人民的共同愿望是：继续发展人类以往创造的一切文明成果，克服20世纪困扰着人类的战争和贫
// 困问题，推进和平与发展的崇高事业，创造一个美好的世界。
// This is a very simple demo of calling the Chinese Word Segmenter programmatically.
// It assumes an input file in UTF8. This will run correctly in the distribution home
// directory. To run in general, the properties for where to find dictionaries or
// normalizations have to be set.
// @author Christopher Manning
// Setup Segmenter loading properties
var props = new Properties();
props.setProperty("sighanCorporaDict", segmenterData);
// Lines below are needed because CTBSegDocumentIteratorFactory accesses it
props.setProperty("serDictionary", segmenterData + @"\dict-chris6.ser.gz");
props.setProperty("testFile", sampleData);
props.setProperty("inputEncoding", "UTF-8");
props.setProperty("sighanPostProcessing", "true");
// Load Word Segmenter
var segmenter = new CRFClassifier(props);
segmenter.loadClassifierNoExceptions(segmenterData + @"\ctb.gz", props);
segmenter.classifyAndWriteAnswers(sampleData);
}
public Generator(Properties properties, PrintWriter writer)
{
base.\u002Ector();
Generator generator = this;
this.properties = properties;
this.file = (File) null;
this.writer = writer;
}
public Generator(Properties properties, File file)
{
base.\u002Ector();
Generator generator = this;
this.properties = properties;
this.file = file;
this.writer = (PrintWriter) null;
}
/// <summary>
/// Annotation pipeline configuration. You can easily add more annotators here.
/// </summary>
/// <returns></returns>
private Properties GetPipelineProperties()
{
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, parse, ner, entitymentions, sentiment");
props.setProperty("ner.useSUTime", "0"); //Turns off NER's SUTime component.
return props;
}
public void InitializeNLP()
{
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
Directory.SetCurrentDirectory(jarRoot);
string curDir = Environment.CurrentDirectory;
// Annotation pipeline configuration
java.util.Properties props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
props.setProperty("ner.useSUTime", "0");
pipeline = new StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
}
private Annotation PrepareAnnotation()
{
var props = new Properties();
props.put("pos.model", modelsDir + "pos-tagger/english-left3words/english-left3words-distsim.tagger");
props.put("ner.model", modelsDir + "ner/english.conll.4class.distsim.crf.ser.gz");
props.put("parse.model", modelsDir + "lexparser/englishPCFG.ser.gz");
props.put("sutime.rules", modelsDir + "sutime/defs.sutime.txt, " + modelsDir + "sutime/english.sutime.txt");
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse");
props.setProperty("sutime.binders", "0");
props.setProperty("ner.useSUTime", "0");
var pipeline = new StanfordCoreNLP(props);
var annotatedText = new Annotation(text);
pipeline.annotate(annotatedText);
return annotatedText;
}
private static void Main()
{
// Path to the folder with models extracted from `stanford-corenlp-3.6.0-models.jar`
var jarRoot = @"..\..\..\..\paket-files\nlp.stanford.edu\stanford-corenlp-full-2015-12-09\models";
var modelsDirectory = jarRoot + @"\edu\stanford\nlp\models";
// Annotation pipeline configuration
var pipeline = new AnnotationPipeline();
pipeline.addAnnotator(new TokenizerAnnotator(false));
pipeline.addAnnotator(new WordsToSentencesAnnotator(false));
// Loading POS Tagger and including them into pipeline
var tagger = new MaxentTagger(modelsDirectory +
@"\pos-tagger\english-bidirectional\english-bidirectional-distsim.tagger");
pipeline.addAnnotator(new POSTaggerAnnotator(tagger));
// SUTime configuration
var sutimeRules = modelsDirectory + @"\sutime\defs.sutime.txt,"
+ modelsDirectory + @"\sutime\english.holidays.sutime.txt,"
+ modelsDirectory + @"\sutime\english.sutime.txt";
var props = new Properties();
props.setProperty("sutime.rules", sutimeRules);
props.setProperty("sutime.binders", "0");
pipeline.addAnnotator(new TimeAnnotator("sutime", props));
// Sample text for time expression extraction
var text = "Three interesting dates are 18 Feb 1997, the 20th of july and 4 days from today.";
var annotation = new Annotation(text);
annotation.set(new CoreAnnotations.DocDateAnnotation().getClass(), "2013-07-14");
pipeline.annotate(annotation);
Console.WriteLine("{0}\n", annotation.get(new CoreAnnotations.TextAnnotation().getClass()));
var timexAnnsAll = annotation.get(new TimeAnnotations.TimexAnnotations().getClass()) as ArrayList;
foreach (CoreMap cm in timexAnnsAll)
{
var tokens = cm.get(new CoreAnnotations.TokensAnnotation().getClass()) as List;
var first = tokens.get(0);
var last = tokens.get(tokens.size() - 1);
var time = cm.get(new TimeExpression.Annotation().getClass()) as TimeExpression;
Console.WriteLine("{0} [from char offset {1} to {2}] --> {3}", cm, first, last, time.getTemporal());
}
}
private void ApplyGlobalConfig()
{
var config = Path.Combine(PreferencesFactory.get().getProperty("application.support.path"),
"default.properties");
if (File.Exists(config))
{
try
{
var properties = new java.util.Properties();
properties.load(new FileInputStream(config));
defaults.putAll(properties);
}
catch (Exception e)
{
Log.warn($"Failure while reading {config}", e);
}
}
}
public StanfordLemmatizer()
{
// Path to the folder with models extracted from `stanford-corenlp-3.6.0-models.jar`
var jarRoot = @"C:\Work\NLP\Stanford\stanford-corenlp-full-2015-12-09\stanford-corenlp-3.6.0-models";
_separator = Guid.NewGuid().ToString();
// Text for processing
// Annotation pipeline configuration
var props = new Properties();
//props.setProperty("annotators", "tokenize, ssplit, pos, lemma, parse, ner,dcoref");
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, parse, ner");
props.setProperty("ner.useSUTime", "0");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
var curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(jarRoot);
_pipeline = new StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
}
private void ApplyGlobalConfig()
{
var config = Path.Combine(SupportDirectoryFinderFactory.get().find().getAbsolute(),
"default.properties");
if (File.Exists(config))
{
try
{
var properties = new java.util.Properties();
properties.load(new FileInputStream(config));
this.setDefaults(properties);
}
catch (Exception e)
{
Log.warn($"Failure while reading {config}", e);
}
}
}
private Annotation PrepareAnnotation(string text, DateTime currentDate)
{
var pipeline = new AnnotationPipeline();
pipeline.addAnnotator(new TokenizerAnnotator(false));
pipeline.addAnnotator(new WordsToSentencesAnnotator(false));
var tagger = new MaxentTagger(modelsDir + @"pos-tagger\english-bidirectional\english-bidirectional-distsim.tagger");
pipeline.addAnnotator(new POSTaggerAnnotator(tagger));
var sutimeRules = modelsDir + @"\sutime\defs.sutime.txt,"
+ modelsDir + @"\sutime\english.holidays.sutime.txt,"
+ modelsDir + @"\sutime\english.sutime.txt";
var props = new Properties();
props.setProperty("sutime.rules", sutimeRules);
props.setProperty("sutime.binders", "0");
pipeline.addAnnotator(new TimeAnnotator("sutime", props));
var annotation = new Annotation(text);
annotation.set(new CoreAnnotations.DocDateAnnotation().getClass(), currentDate.ToString("yyyy-MM-dd"));
pipeline.annotate(annotation);
return annotation;
}
public void Initialize()
{
var props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
//if we're using an external sentence segmentation strategy, then this is how we're going to do it
//https://stackoverflow.com/a/28017131
if (!useBuiltInSentenceSplitter)
{
props.put("ssplit.isOneSentence", "true");
}
props.setProperty("sutime.binders", "0");
Directory.SetCurrentDirectory(jarRoot);
pipeline = new StanfordCoreNLP(props);
}
static void Main(string[] args)
{
var host = "192.168.33.12:9092";
var topic = "test2";
var count = 50000000;
var prop = new Properties();
prop.put("bootstrap.servers", host);
prop.put("group.id", "test3");
prop.put("auto.offset.reset", "earliest");
prop.put("enable.auto.commit", "true");
prop.put("auto.commit.interval.ms", "1000");
prop.put("socket.receive.buffer.bytes", (2*1024*1024).ToString());
prop.put("fetch.message.max.bytes", (1024*1024).ToString());
var c = new KafkaConsumer(prop, new ByteArrayDeserializer(), new ByteArrayDeserializer());
var topics = new ArrayList(1);
topics.add(topic);
var time = DateTime.UtcNow;
c.subscribe(topics);
var bytes = 0;
var i = count;
var recordCount = 0;
while (i > 0)
{
var r = c.poll(1000);
var records = r.records(topic);
for (var it = records.iterator(); it.hasNext() && i > 0; i--, recordCount++)
{
var rec = (ConsumerRecord)it.next();
var b = (byte[]) rec.value();
bytes += b.Length;
}
Console.WriteLine(recordCount);
}
var mb = bytes / 1024.0 / 1024.0;
var seconds = (DateTime.UtcNow - time).TotalSeconds;
Console.WriteLine($"{mb / seconds} MB/sec");
Console.WriteLine($"{count / seconds} Msg/sec");
}
//*************************************************/
// METHODS
//*************************************************/
#region Methods
/// <summary>
/// Setup tagger including POS
/// </summary>
private void SetupTagger()
{
PerformanceTester.StartMET("NLP");
// Get path to Stanford NLP models
var jarRoot = Path.Combine(Utility.GetResourcesFolder(), @"stanford-corenlp-3.9.2-models");
// Turn off logging
RedwoodConfiguration.current().clear().apply();
// Set properties
var props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, pos");
// Set current directory
var curDir = Environment.CurrentDirectory;
var modelsDirectory = curDir + "\\" + jarRoot + @"\edu\stanford\nlp\models";
Directory.SetCurrentDirectory(jarRoot);
// Load Stanford NLP
Tagger = new StanfordCoreNLP(props);
PerformanceTester.StopMET("NLP");
}
public static void appendProperty(Properties properties, string name, string separator, params string[] values)
{
if (values == null || values.Length == 0)
return;
string str1 = "";
string[] strArray = values;
int length = strArray.Length;
for (int index = 0; index < length; ++index)
{
string str2 = strArray[index];
if (str2 != null && String.instancehelper_length(str2) != 0)
{
if (String.instancehelper_length(str1) > 0 && !String.instancehelper_endsWith(str1, separator))
str1 = new StringBuilder().append(str1).append(separator).toString();
str1 = new StringBuilder().append(str1).append(str2).toString();
}
}
string property = properties.getProperty(name, "");
if (String.instancehelper_length(property) > 0)
str1 = new StringBuilder().append(str1).append(separator).toString();
properties.setProperty(name, new StringBuilder().append(str1).append(property).toString());
}
public void SUTimeDefautTest()
{
var pipeline = new AnnotationPipeline();
pipeline.addAnnotator(new PTBTokenizerAnnotator(false));
pipeline.addAnnotator(new WordsToSentencesAnnotator(false));
var tagger =
new MaxentTagger(
Config.GetModel(@"pos-tagger\english-bidirectional\english-bidirectional-distsim.tagger"));
pipeline.addAnnotator(new POSTaggerAnnotator(tagger));
var sutimeRules = new[] {
Config.GetModel(@"sutime\defs.sutime.txt"),
Config.GetModel(@"sutime\english.holidays.sutime.txt"),
Config.GetModel(@"sutime\english.sutime.txt")
};
var props = new Properties();
props.setProperty("sutime.rules", String.Join(",", sutimeRules));
props.setProperty("sutime.binders", "0");
pipeline.addAnnotator(new TimeAnnotator("sutime", props));
const string text = "Three interesting dates are 18 Feb 1997, the 20th of july and 4 days from today.";
var annotation = new Annotation(text);
annotation.set(new CoreAnnotations.DocDateAnnotation().getClass(), "2013-07-14");
pipeline.annotate(annotation);
Console.WriteLine(annotation.get(new CoreAnnotations.TextAnnotation().getClass())+"\n");
var timexAnnsAll = (ArrayList)annotation.get(new TimeAnnotations.TimexAnnotations().getClass());
foreach (CoreMap cm in timexAnnsAll)
{
var tokens = (java.util.List)cm.get(new CoreAnnotations.TokensAnnotation().getClass());
var first = tokens.get(0);
var last = tokens.get(tokens.size() - 1);
var time = (TimeExpression)cm.get(new TimeExpression.Annotation().getClass());
Console.WriteLine("{0} [from char offset '{1}' to '{2}'] --> {3}",
cm, first, last, (time.getTemporal()));
}
}
private void ApplyGlobalConfig()
{
var config = Path.Combine(SupportDirectoryFinderFactory.get().find().getAbsolute(),
"default.properties");
if (File.Exists(config))
{
try
{
var properties = new java.util.Properties();
properties.load(new FileInputStream(config));
foreach (var key in Utils.ConvertFromJavaList <String>(properties.keySet()))
{
setDefault(key, properties.getProperty(key));
}
}
catch (Exception e)
{
Log.warn($"Failure while reading {config}", e);
}
}
}
static void Main(string[] args)
{
if (args.Length != 1)
{
System.Console.WriteLine("usage: StanfordSegmenter.Csharp.Samples.exe filename");
return;
}
var props = new Properties();
props.setProperty("sighanCorporaDict", @"..\..\..\..\temp\stanford-segmenter-2013-06-20\data");
// props.setProperty("NormalizationTable", @"..\..\..\..\temp\stanford-segmenter-2013-06-20\data\norm.simp.utf8");
// props.setProperty("normTableEncoding", "UTF-8");
// below is needed because CTBSegDocumentIteratorFactory accesses it
props.setProperty("serDictionary", @"..\..\..\..\temp\stanford-segmenter-2013-06-20\data\dict-chris6.ser.gz");
props.setProperty("testFile", args[0]);
props.setProperty("inputEncoding", "UTF-8");
props.setProperty("sighanPostProcessing", "true");
var segmenter = new CRFClassifier(props);
segmenter.loadClassifierNoExceptions(@"..\..\..\..\temp\stanford-segmenter-2013-06-20\data\ctb.gz", props);
segmenter.classifyAndWriteAnswers(args[0]);
}
public PropertyManager(File file)
{
serverProperties = new Properties();
serverPropertiesFile = file;
if (file.exists())
{
try
{
serverProperties.load(new FileInputStream(file));
}
catch (Exception exception)
{
logger.log(Level.WARNING, (new StringBuilder()).append("Failed to load ").append(file).toString(),
exception);
generateNewProperties();
}
}
else
{
logger.log(Level.WARNING, (new StringBuilder()).append(file).append(" does not exist").toString());
generateNewProperties();
}
}
public static void Start(string modelLocation = null)
{
var curDir = Environment.CurrentDirectory;
if (!string.IsNullOrEmpty(modelLocation))
{
_modelLocation = modelLocation;
}
try
{
// Annotation pipeline configuration
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("sutime.binders", "false");
props.setProperty("ner.useSUTime", "false");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
Directory.SetCurrentDirectory(HostingEnvironment.MapPath(ModelLocation));
pipeline = new StanfordCoreNLP(props);
}
finally
{
Directory.SetCurrentDirectory(curDir);
}
}
public Task SendMailAsync(string from, string recipients, string subject, string body)
{
// http://stackoverflow.com/questions/6606529/package-javax-mail-and-javax-mail-internet-do-not-exist
// partial build of Java and Java.AppEngine are missing it?
//javax.servlet.Servlet
var props = new Properties();
var session = javax.mail.Session.getDefaultInstance(props, null);
// https://developers.google.com/appengine/docs/java/mail/usingjavamail
try
{
// email
var msg = new javax.mail.internet.MimeMessage(session);
msg.setFrom(new javax.mail.internet.InternetAddress(from, from));
msg.addRecipient(javax.mail.Message.RecipientType.TO,
new javax.mail.internet.InternetAddress(recipients, recipients));
msg.setSubject(subject);
msg.setText(body);
javax.mail.Transport.send(msg);
}
catch
{
throw;
}
var x = new TaskCompletionSource<object>();
// do we support async yet?
return x.Task;
}
/// <summary>
/// Train a Stanford NER model from a configuration file
/// </summary>
/// <param name="prop">Configuration file</param>
public bool Train(string prop)
{
try
{
java.util.Properties props = new java.util.Properties();
InputStream st = new BufferedInputStream(new FileInputStream(prop));
InputStreamReader reader = new InputStreamReader(st, "utf-8");
props.load(reader);
_crfModel = new CRFClassifier(props);
_crfModel.train();
String serializeTo = _crfModel.flags.serializeTo;
if (serializeTo != null)
{
_crfModel.serializeClassifier(serializeTo);
}
return true;
}
catch (Exception e)
{
System.Console.WriteLine("Unable to train the Standford CRF model" + e.ToString());
return false;
}
}
public virtual void load(InputStream @in)
{
if (@in == null)
{
Throwable.__\u003CsuppressFillInStackTrace\u003E();
throw new NullPointerException();
}
else
{
IOException ioException;
try
{
BufferedInputStream bufferedInputStream = new BufferedInputStream(@in);
Properties properties = new Properties();
properties.load((InputStream) bufferedInputStream);
((Hashtable) this.getConfiguration()).putAll((Map) properties);
bufferedInputStream.close();
return;
}
catch (IOException ex)
{
int num = 1;
ioException = (IOException) ByteCodeHelper.MapException<IOException>((Exception) ex, (ByteCodeHelper.MapFlags) num);
}
Log.warn((object) "Unable to read configuration", (Exception) ioException);
}
}
private void BgWorkerClean_DoWork(object sender, DoWorkEventArgs e)
{
DictionaryData DictData = (DictionaryData)e.Argument;
//report what we're working on
FilenameLabel.Invoke((MethodInvoker) delegate
{
FilenameLabel.Text = "Loading CoreNLP models... please wait...";
});
//largely taken from here: https://github.com/sergey-tihon/Stanford.NLP.NET/issues/39
var jarRoot = @"stanford-corenlp-full-2018-02-27\";
var props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit, parse, sentiment");
props.setProperty("sutime.binders", "0");
var curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(Path.Combine(Path.GetDirectoryName(AppDomain.CurrentDomain.BaseDirectory), jarRoot));
var pipeline = new StanfordCoreNLP(props);
//selects the text encoding based on user selection
Encoding SelectedEncoding = null;
this.Invoke((MethodInvoker) delegate()
{
SelectedEncoding = Encoding.GetEncoding(EncodingDropdown.SelectedItem.ToString());
});
//get the list of files
var SearchDepth = SearchOption.TopDirectoryOnly;
if (ScanSubfolderCheckbox.Checked)
{
SearchDepth = SearchOption.AllDirectories;
}
var files = Directory.EnumerateFiles(DictData.TextFileFolder, "*.txt", SearchDepth);
//try
//{
//open up the output file
using (StreamWriter outputFile = new StreamWriter(new FileStream(DictData.OutputFileLocation, FileMode.Create), SelectedEncoding))
{
using (StreamWriter outputFileSentences = new StreamWriter(new FileStream(AddSuffix(DictData.OutputFileLocation, "_Sentences"), FileMode.Create), SelectedEncoding))
{
//write the header row to the output file
StringBuilder HeaderString = new StringBuilder();
HeaderString.Append("\"Filename\",\"Sentences\",\"Classification\",\"Classification_M\",\"Classification_SD\"");
outputFile.WriteLine(HeaderString.ToString());
StringBuilder HeaderStringSentence = new StringBuilder();
HeaderStringSentence.Append("\"Filename\",\"SentNumber\",\"SentenceText\",\"Classification\",\"Class_Prob\",\"Class_Number\"");
outputFileSentences.WriteLine(HeaderStringSentence.ToString());
foreach (string fileName in files)
{
//set up our variables to report
string Filename_Clean = Path.GetFileName(fileName);
Dictionary <string, int> DictionaryResults = new Dictionary <string, int>();
//report what we're working on
FilenameLabel.Invoke((MethodInvoker) delegate
{
FilenameLabel.Text = "Analyzing: " + Filename_Clean;
});
//read in the text file, convert everything to lowercase
string InputText = System.IO.File.ReadAllText(fileName, SelectedEncoding).Trim();
// _ _ _____ _
// / \ _ __ __ _| |_ _ _______ |_ _|____ _| |_
// / _ \ | '_ \ / _` | | | | |_ / _ \ | |/ _ \ \/ / __|
// / ___ \| | | | (_| | | |_| |/ / __/ | | __/> <| |_
// /_/ \_\_| |_|\__,_|_|\__, /___\___| |_|\___/_/\_\\__|
// |___/
var annotation = new edu.stanford.nlp.pipeline.Annotation(InputText);
pipeline.annotate(annotation);
List <double> SentimentValues = new List <double>();
var sentences = annotation.get(new CoreAnnotations.SentencesAnnotation().getClass()) as ArrayList;
int SentenceCount = 0;
foreach (CoreMap sentence in sentences)
{
SentenceCount++;
Tree tree = sentence.get(new SentimentCoreAnnotations.SentimentAnnotatedTree().getClass()) as Tree;
//add this sentence to our overall list of sentiment scores
SentimentValues.Add(RNNCoreAnnotations.getPredictedClass(tree));
// __ __ _ _ ___ _ _
// \ \ / / __(_) |_ ___ / _ \ _ _| |_ _ __ _ _| |_
// \ \ /\ / / '__| | __/ _ \ | | | | | | | __| '_ \| | | | __|
// \ V V /| | | | || __/ | |_| | |_| | |_| |_) | |_| | |_
// \_/\_/ |_| |_|\__\___| \___/ \__,_|\__| .__/ \__,_|\__|
// |_|
string[] OutputString_SentenceLevel = new string[6];
string Classification = GetClassification((double)RNNCoreAnnotations.getPredictedClass(tree));
OutputString_SentenceLevel[0] = "\"" + Filename_Clean + "\"";
OutputString_SentenceLevel[1] = SentenceCount.ToString();
OutputString_SentenceLevel[2] = "\"" + sentence.ToString().Replace("\"", "\"\"") + "\"";
OutputString_SentenceLevel[3] = Classification;
OutputString_SentenceLevel[4] = RNNCoreAnnotations.getPredictedClassProb(tree.label()).ToString();
OutputString_SentenceLevel[5] = RNNCoreAnnotations.getPredictedClass(tree).ToString();
outputFileSentences.WriteLine(String.Join(",", OutputString_SentenceLevel));
}
//write output at the file level
string[] OutputString = new string[5];
OutputString[0] = "\"" + Filename_Clean + "\"";
OutputString[1] = SentenceCount.ToString();
OutputString[2] = GetClassification(SentimentValues.Average());
OutputString[3] = SentimentValues.Average().ToString();
OutputString[4] = StandardDeviation(SentimentValues).ToString();
outputFile.WriteLine(String.Join(",", OutputString));
}
//this is the closing bracket for the sentence-level "using" filestream
}
//this is the closing bracket for the document-level "using" filestream
}
//}
//catch
//{
// MessageBox.Show("Senti-Gent encountered an issue somewhere while trying to analyze your texts. The most common cause of this is trying to open your output file while Senti-Gent is still running. Did any of your input files move, or is your output file being opened/modified by another application?", "Error while analyzing", MessageBoxButtons.OK, MessageBoxIcon.Error);
//}
}
public HierarchicalConfiguration()
{
base.\u002Ector();
HierarchicalConfiguration hierarchicalConfiguration = this;
this.configuration = new Properties();
}
public void extractTime(string text)
{
sentenceInput = text;
string presentDate = "2015-10-10";
string curr = Environment.CurrentDirectory;
var jarRoot = curr + @"\stanford-corenlp-3.5.2-models";
var modelsDirectory = jarRoot + @"\edu\stanford\nlp\models";
// Annotation pipeline configuration
var pipeline = new AnnotationPipeline();
pipeline.addAnnotator(new TokenizerAnnotator(false));
pipeline.addAnnotator(new WordsToSentencesAnnotator(false));
// SUTime configuration
var sutimeRules = modelsDirectory + @"\sutime\defs.sutime.txt,"
+ modelsDirectory + @"\sutime\english.holidays.sutime.txt,"
+ modelsDirectory + @"\sutime\english.sutime.txt";
var props = new Properties();
props.setProperty("sutime.rules", sutimeRules);
props.setProperty("sutime.binders", "0");
props.setProperty("sutime.markTimeRanges", "true");
props.setProperty("sutime.includeRange", "true");
pipeline.addAnnotator(new TimeAnnotator("sutime", props));
// Sample text for time expression extraction
var annotation = new Annotation(text);
annotation.set(new CoreAnnotations.DocDateAnnotation().getClass(), presentDate);
pipeline.annotate(annotation);
// Console.WriteLine("{0}\n", annotation.get(new CoreAnnotations.TextAnnotation().getClass()));
var timexAnnsAll = annotation.get(new TimeAnnotations.TimexAnnotations().getClass()) as ArrayList;
foreach (CoreMap cm in timexAnnsAll)
{
var time = cm.get(new TimeExpression.Annotation().getClass()) as TimeExpression;
string typeTimex = time.getTemporal().getTimexType().toString();
if (typeTimex.ToLower() == "duration")
{
typeTime = "tPeriod";
valueTime = time.getTemporal().toISOString();
Console.WriteLine(valueTime);
}
if (typeTimex.ToLower() == "time" || typeTimex.ToLower() == "date")
{
string textOftime = time.getText().ToString();
char[] delimiterChars = { ' ' };
string[] words = textOftime.Split(delimiterChars);
string mainword = words[0];
var tagger = new MaxentTagger(modelsDirectory + @"\pos-tagger\english-bidirectional\english-bidirectional-distsim.tagger");
var sentences = MaxentTagger.tokenizeText(new StringReader(text));
var first = sentences.get(0) as ArrayList;
int size = first.size();
int i = 0;
int index = -3;
while (i < size)
{
if (first.get(i).ToString() == mainword)
index = i;
i++;
}
var taggedSentence = tagger.tagSentence(first);
string checker = taggedSentence.get(index - 1).ToString();
if (checker.ToLower() == "after/in" || checker.ToLower() == "since/in")
{
typeTime = "tTrigger";
valueTime = "Start : " + time.getTemporal().toISOString();
Console.WriteLine(valueTime);
}
else if (checker.ToLower() == "before/in")
{
if (typeTimex == "TIME")
{
typeTime = "tTrigger";
valueTime = "End : " + time.getTemporal().toISOString();
Console.WriteLine(valueTime);
}
else
{
DateTime result = new DateTime();
DateTime current = DateTime.ParseExact(presentDate, "yyyy-MM-dd", System.Globalization.CultureInfo.InvariantCulture);
string dt = time.getTemporal().toString();
char[] delimiter = { '-', '-', '-' };
string[] partsOfDate = time.getTemporal().toISOString().Split(delimiter);
int count = partsOfDate.Length;
if (count == 1)
{
result = Convert.ToDateTime("01-01-" + partsOfDate[0]);
}
if (count == 2)
{
result = Convert.ToDateTime("01-" + partsOfDate[1] + "-" + partsOfDate[0]);
}
// result = DateTime.ParseExact(dt, "yyyy-MM-dd", System.Globalization.CultureInfo.InvariantCulture);
int comp = DateTime.Compare(current, result);
if (comp < 0)
{
typeTime = "tTrigger";
valueTime = "Start now (" + presentDate + ") End :" + time.getTemporal().toString();
Console.WriteLine(valueTime);
}
else
{
typeTime = "tTrigger";
valueTime = "End : " + time.getTemporal().toString();
Console.WriteLine(valueTime);
}
}
}
else
{
typeTime = "tStamp";
valueTime = time.getTemporal().toISOString();
Console.WriteLine(valueTime);
}
}
}
}
public void StanfordCoreNlpDemoManualConfiguration()
{
Console.WriteLine(Environment.CurrentDirectory);
const string Text = "Kosgi Santosh sent an email to Stanford University. He didn't get a reply.";
// Annotation pipeline configuration
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("pos.model", Config.GetModel(@"pos-tagger\english-bidirectional\english-bidirectional-distsim.tagger"));
props.setProperty("ner.model", Config.GetModel(@"ner\english.all.3class.distsim.crf.ser.gz"));
props.setProperty("parse.model", Config.GetModel(@"lexparser\englishPCFG.ser.gz"));
props.setProperty("dcoref.demonym", Config.GetModel(@"dcoref\demonyms.txt"));
props.setProperty("dcoref.states", Config.GetModel(@"dcoref\state-abbreviations.txt"));
props.setProperty("dcoref.animate", Config.GetModel(@"dcoref\animate.unigrams.txt"));
props.setProperty("dcoref.inanimate", Config.GetModel(@"dcoref\inanimate.unigrams.txt"));
props.setProperty("dcoref.male", Config.GetModel(@"dcoref\male.unigrams.txt"));
props.setProperty("dcoref.neutral", Config.GetModel(@"dcoref\neutral.unigrams.txt"));
props.setProperty("dcoref.female", Config.GetModel(@"dcoref\female.unigrams.txt"));
props.setProperty("dcoref.plural", Config.GetModel(@"dcoref\plural.unigrams.txt"));
props.setProperty("dcoref.singular", Config.GetModel(@"dcoref\singular.unigrams.txt"));
props.setProperty("dcoref.countries", Config.GetModel(@"dcoref\countries"));
props.setProperty("dcoref.extra.gender", Config.GetModel(@"dcoref\namegender.combine.txt"));
props.setProperty("dcoref.states.provinces", Config.GetModel(@"dcoref\statesandprovinces"));
props.setProperty("dcoref.singleton.predictor", Config.GetModel(@"dcoref\singleton.predictor.ser"));
props.setProperty("dcoref.big.gender.number", Config.GetModel(@"dcoref\gender.data.gz"));
var sutimeRules = new[] {
Config.GetModel(@"sutime\defs.sutime.txt"),
Config.GetModel(@"sutime\english.holidays.sutime.txt"),
Config.GetModel(@"sutime\english.sutime.txt")
};
props.setProperty("sutime.rules", String.Join(",", sutimeRules));
props.setProperty("sutime.binders", "0");
var pipeline = new edu.stanford.nlp.pipeline.StanfordCoreNLP(props);
// Annotation
var annotation = new Annotation(Text);
pipeline.annotate(annotation);
// Result - Pretty Print
using (var stream = new ByteArrayOutputStream())
{
pipeline.prettyPrint(annotation, new PrintWriter(stream));
Console.WriteLine(stream.toString());
}
this.CustomAnnotationPrint(annotation);
}
private static AppDomain createServletDomain(ServletConfig config)
{
string rootPath = J2EEUtils.GetApplicationRealPath(config.getServletContext ());
AppDomainSetup domainSetup = new AppDomainSetup();
string name = config.getServletName();//.getServletContextName();
if (name == null)
name = "GH Application";
domainSetup.ApplicationName = name;
domainSetup.ConfigurationFile = Path.Combine (rootPath, "Web.config");
domainSetup.PrivateBinPath = Path.Combine (rootPath, "WEB-INF/lib");
AppDomain servletDomain = AppDomain.CreateDomain(name, null, domainSetup);
//servletDomain.SetData(IAppDomainConfig.APP_PHYS_DIR, J2EEUtils.GetApplicationPhysicalPath(config));
//servletDomain.SetData(IAppDomainConfig.WEB_APP_DIR, rootPath);
servletDomain.SetData(IAppDomainConfig.APP_PHYS_DIR, J2EEUtils.GetApplicationPhysicalPath(config.getServletContext ()));
servletDomain.SetData(IAppDomainConfig.WEB_APP_DIR, rootPath);
servletDomain.SetData(IAppDomainConfig.SERVLET_CONFIG, config);
//Set DataDirectory substitution string (http://blogs.msdn.com/dataaccess/archive/2005/10/28/486273.aspx)
string dataDirectory = config.getServletContext ().getInitParameter ("DataDirectory");
if (dataDirectory == null)
dataDirectory = "App_Data";
if (!Path.IsPathRooted (dataDirectory)) {
java.io.InputStream inputStream = config.getServletContext ().getResourceAsStream ("/WEB-INF/classes/appData.properties");
string root;
if (inputStream != null) {
try {
Properties props = new Properties ();
props.load (inputStream);
root = props.getProperty ("root.folder");
}
finally {
inputStream.close ();
}
}
else
root = config.getServletContext ().getRealPath ("/");
if (root == null)
root = String.Empty;
dataDirectory = Path.Combine (root, dataDirectory);
}
if (dataDirectory [dataDirectory.Length - 1] != Path.DirectorySeparatorChar)
dataDirectory += Path.DirectorySeparatorChar;
servletDomain.SetData ("DataDirectory", dataDirectory);
if (config.getServletContext ().getRealPath ("/") == null)
servletDomain.SetData(".appStartTime", DateTime.UtcNow);
// The BaseDir is the full path to the physical dir of the app
// and allows the application to modify files in the case of
// open deployment.
string webApp_baseDir = config.getServletContext().getRealPath("");
if (webApp_baseDir == null || webApp_baseDir == "")
webApp_baseDir = rootPath;
servletDomain.SetData(IAppDomainConfig.APP_BASE_DIR , webApp_baseDir);
Debug.WriteLine("Initialization of webapp " + webApp_baseDir);
//servletDomain.SetData(".hostingVirtualPath", "/");
//servletDomain.SetData(".hostingInstallDir", "/");
return servletDomain;
}
/// <summary>
/// Initializes this instance.
/// </summary>
private void Initialize()
{
if (pipeline == null)
{
// Todo: How to get this ourselves
//var jarRoot = @"C:\Users\karlbuha\Documents\Visual Studio 2012\Projects\ServiceMe\RestServiceV1\NLPModules\";
var jarRoot = ConfigurationManager.AppSettings["NlpModulePath"];
//var jarRoot = @"F:\sitesroot\0\bin\NlpModules\";
// Annotation pipeline configuration
var props = new Properties();
props.setProperty("annotators", "tokenize, ssplit, pos, lemma");
props.setProperty("sutime.binders", "0");
props.setProperty("ner.useSUTime", "false");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
var curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(jarRoot);
NlpProvider.pipeline = new StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
NlpProvider.relevantPos = ConfigurationManager.AppSettings["NlpFos"].Split(new string[] { "," }, StringSplitOptions.RemoveEmptyEntries).ToList();
}
}
protected internal static Properties getPreferences()
{
if (BaseTestRunner.fPreferences == null)
{
BaseTestRunner.fPreferences = new Properties();
((Hashtable) BaseTestRunner.fPreferences).put((object) "loading", (object) "true");
((Hashtable) BaseTestRunner.fPreferences).put((object) "filterstack", (object) "true");
BaseTestRunner.readPreferences();
}
return BaseTestRunner.fPreferences;
}
protected internal static void setPreferences(Properties preferences)
{
BaseTestRunner.fPreferences = preferences;
}
public static Session getDefaultInstance(Properties arg0, Authenticator arg1)
{
return null;
}
//使用nlp將文章分析後回傳key
private List<string> nlp(string sentence)
{
List<string> return_key = new List<string>();
string Relay_file = ".\\xml";
string Relay_name = "Relay.xml";
string Relay_path = Relay_file+ "\\" + Relay_name;
// Path to the folder with models extracted from `stanford-corenlp-3.4-models.jar`
var jarRoot = @"stanford-corenlp-3.5.2-models\";
// Annotation pipeline configuration
var props = new java.util.Properties();
props.setProperty("ner.useSUTime", "false");
props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse, dcoref");
props.setProperty("sutime.binders", "0");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
var curDir = Environment.CurrentDirectory;
System.IO.Directory.SetCurrentDirectory(jarRoot);
var pipeline = new StanfordCoreNLP(props);
System.IO.Directory.SetCurrentDirectory(curDir);
// Annotation
var annotation = new Annotation(sentence);
pipeline.annotate(annotation);
//輸出nlp分析結果至Relay.xml
FileOutputStream os = new FileOutputStream(new File(Relay_file, Relay_name));
pipeline.xmlPrint(annotation, os);
os.close();
//呼叫ner將單字組合為有意義的key組裝
foreach(string k in ner(Relay_path))
{
return_key.Add(k);
}
return return_key;
}
public static System.Collections.ArrayList parse(string filename)
{
string fileLocation = LUAttributes.filesPathFromRoot + filename;
//get metadata
Document document = getMetadata(fileLocation);
if (document == null)
{
return(null);
}
// Path to the folder with models extracted from `stanford-corenlp-3.9.2-models.jar`
var jarRoot = Path.Combine(Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "..\\..\\"), @"Code\\stanford");
var props = new java.util.Properties();
props.setProperty("annotators", "tokenize, ssplit,pos, lemma");
props.setProperty("ssplit.newlineIsSentenceBreak", "two");
props.setProperty("tokenize.keepeol", "true");
// We should change current directory, so StanfordCoreNLP could find all the model files automatically
var curDir = Environment.CurrentDirectory;
Directory.SetCurrentDirectory(jarRoot);
var pipeline = new StanfordCoreNLP(props);
Directory.SetCurrentDirectory(curDir);
// assign lines and columns
string[] lines = readAllLinesSkipMD(fileLocation);
List <int> linenumbers = new List <int>();
List <int> columnnumbers = new List <int>();
List <CoreMap> blankSentencesList = new List <CoreMap>();
java.util.ArrayList lineTokens;
CoreLabel firstTokenInLine;
int firstTokenInLinePos = 0;
int columnInLine = 0;
int lineNumber = 0;
foreach (string line in lines)
{
Annotation annotation2 = new Annotation(line);
pipeline.annotate(annotation2);
lineTokens = (java.util.ArrayList)annotation2.get(typeof(CoreAnnotations.TokensAnnotation));
if (line.Trim() != "")
{
firstTokenInLine = (CoreLabel)lineTokens.get(0);
firstTokenInLinePos = firstTokenInLine.beginPosition();
}
else
{
firstTokenInLinePos = 0;
}
foreach (CoreLabel token2 in lineTokens)
{
columnInLine = token2.beginPosition() - firstTokenInLinePos;
token2.set(typeof(CoreAnnotations.LineNumberAnnotation), lineNumber);
blankSentencesList.Add(token2);
linenumbers.Add(lineNumber);
columnnumbers.Add(columnInLine);
}
lineNumber += 1;
}
// skip metadata
string mdEnd = LUAttributes.metadataEnd;
string txt = File.ReadAllText(Path.Combine(Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "..\\..\\"), fileLocation));
txt = txt.Substring(txt.IndexOf(mdEnd) + mdEnd.Length + 2);
var annotation = new Annotation(txt);
pipeline.annotate(annotation);
//build datatable
DataTable wordIndex = new DataTable("wordIndex");
wordIndex.Columns.Add(new DataColumn("value", typeof(string)));
wordIndex.Columns.Add(new DataColumn("length", typeof(int)));
wordIndex.Columns.Add(new DataColumn("isSymbol", typeof(int)));
wordIndex.Columns.Add(new DataColumn("lemma", typeof(string)));
wordIndex.Columns.Add(new DataColumn("chapter", typeof(int)));
wordIndex.Columns.Add(new DataColumn("line", typeof(int)));
wordIndex.Columns.Add(new DataColumn("column", typeof(int)));
wordIndex.Columns.Add(new DataColumn("sentence", typeof(int)));
wordIndex.Columns.Add(new DataColumn("wordOrdinal", typeof(int)));
wordIndex.Columns.Add(new DataColumn("tokenOrdinal", typeof(int)));
//extract words into datatable
var sentences = annotation.get(new CoreAnnotations.SentencesAnnotation().getClass()) as java.util.ArrayList;
string word = "";
int indexInSentence = 0, indexOfWordInSentence = 0, chapter = 1, isAposSkip = 0, lastTokenLine = -1;
int sentenceCounter = 0;
DataRow dr;
CoreLabel token;
int wordNumInText = 0;
foreach (CoreMap sentence in sentences)
{
indexInSentence = 0;
indexOfWordInSentence = 0;
var tokens = sentence.get(new CoreAnnotations.TokensAnnotation().getClass()) as java.util.ArrayList;
for (int i = 0; i < tokens.size(); i++)
{
token = (CoreLabel)(tokens.get(i));
isAposSkip = 0;
//check if next token contains an apostrophe - also check if both current and next tokens are not symbols
if (i + 1 < tokens.size() && ((CoreLabel)tokens.get(i + 1)).word().IndexOf("'") >= 0 && !isSymbol(token.word()) && !isSymbol(((CoreLabel)tokens.get(i + 1)).word()))
{
//concat words
word = String.Concat(token.word(), ((CoreLabel)tokens.get(i + 1)).word());
//skip next word
i++;
wordNumInText++;
isAposSkip = 1;
}
else
{
word = token.word();
}
//add newline rows
while (lastTokenLine + 1 < linenumbers[wordNumInText])
{
lastTokenLine++;
dr = wordIndex.NewRow();
dr["value"] = "\\n";
dr["length"] = 2;
dr["isSymbol"] = 1;
dr["lemma"] = "nolemma";
dr["chapter"] = chapter;
dr["line"] = lastTokenLine;
dr["column"] = 0;
dr["sentence"] = -1;
dr["wordOrdinal"] = -1;
dr["tokenOrdinal"] = 0;
wordIndex.Rows.Add(dr);
}
//check if new chapter
if (word == LUAttributes.chapterMark)
{
chapter++;
sentenceCounter = -1;
indexInSentence = -1;
}
dr = wordIndex.NewRow();
word = word.Replace("''", "\"").Replace("``", "\"").Replace("-LRB-", "(").Replace("-RRB-", ")");
dr["value"] = word;
dr["length"] = word.Length;
dr["isSymbol"] = isSymbol(word);
dr["chapter"] = chapter;
dr["line"] = linenumbers[wordNumInText];
dr["column"] = columnnumbers[wordNumInText - isAposSkip];
dr["sentence"] = sentenceCounter;
dr["tokenOrdinal"] = indexInSentence;
if (!isSymbol(word))
{
dr["wordOrdinal"] = indexOfWordInSentence;
dr["lemma"] = token.lemma().ToLower();
}
else
{
dr["wordOrdinal"] = -1;
dr["lemma"] = "nolemma";
}
wordIndex.Rows.Add(dr);
lastTokenLine = linenumbers[wordNumInText];
wordNumInText++;
indexInSentence++;
if (!isSymbol(word))
{
indexOfWordInSentence++;
}
}
sentenceCounter++;
}
System.Collections.ArrayList parsedDocList = new System.Collections.ArrayList();
parsedDocList.Add(document);
parsedDocList.Add(wordIndex);
return(parsedDocList);
}
protected override void setDefaults()
{
base.setDefaults();
this.setDefault("application.name", Application.ProductName);
this.setDefault("application.datafolder.name", Application.ProductName);
this.setDefault("oauth.handler.scheme",
String.Format("x-{0}-action", StringUtils.deleteWhitespace(Application.ProductName.ToLower())));
this.setDefault("application.version", ApplicationVersion);
this.setDefault("application.revision", ApplicationRevision);
this.setDefault("application.language", GetDefaultLanguage());
this.setDefault("application.language.custom", false.ToString());
this.setDefault("application.localization.enable", true.ToString());
this.setDefault("update.feed.release", "https://version.cyberduck.io/windows/changelog.rss");
this.setDefault("update.feed.beta", "https://version.cyberduck.io/windows/beta/changelog.rss");
this.setDefault("update.feed.nightly", "https://version.cyberduck.io/windows/nightly/changelog.rss");
// Importers
this.setDefault("bookmark.import.winscp.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "WinSCP.ini"));
this.setDefault("bookmark.import.filezilla.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "FileZilla",
"sitemanager.xml"));
this.setDefault("bookmark.import.smartftp.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "SmartFTP",
"Client 2.0", "Favorites"));
this.setDefault("bookmark.import.totalcommander.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "GHISLER",
"wcx_ftp.ini"));
this.setDefault("bookmark.import.flashfxp3.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "FlashFXP", "3",
"Sites.dat"));
this.setDefault("bookmark.import.flashfxp4.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "FlashFXP", "4",
"Sites.dat"));
this.setDefault("bookmark.import.flashfxp4.common.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.CommonApplicationData), "FlashFXP",
"4",
"Sites.dat"));
this.setDefault("bookmark.import.wsftp.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "Ipswitch", "WS_FTP",
"Sites"));
this.setDefault("bookmark.import.fireftp.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "Mozilla", "Firefox",
"Profiles"));
this.setDefault("bookmark.import.s3browser.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData), "S3Browser",
"settings.ini"));
this.setDefault("bookmark.import.crossftp.location", Path.Combine(HomeFolder, ".crossftp", "sites.xml"));
this.setDefault("bookmark.import.cloudberry.s3.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"CloudBerry S3 Explorer for Amazon S3", "settings.list"));
this.setDefault("bookmark.import.cloudberry.google.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"CloudBerry Explorer for Google Storage", "settings.list"));
this.setDefault("bookmark.import.cloudberry.azure.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"CloudBerry Explorer for Azure Blob Storage", "settings.list"));
this.setDefault("bookmark.import.expandrive3.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"ExpanDrive", "favorites.js"));
this.setDefault("bookmark.import.expandrive4.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"ExpanDrive", "expandrive4.favorites.js"));
this.setDefault("bookmark.import.expandrive5.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"ExpanDrive", "expandrive5.favorites.js"));
this.setDefault("bookmark.import.expandrive6.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.LocalApplicationData),
"ExpanDrive", "expandrive6.favorites.js"));
this.setDefault("bookmark.import.netdrive2.location",
Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.ApplicationData),
"NetDrive2", "drives.dat"));
//disable reminder for protocol handler registration
this.setDefault("defaulthandler.reminder", false.ToString());
this.setDefault("update.check.last", "0");
this.setDefault("update.check.privilege", true.ToString());
this.setDefault("queue.download.folder", DefaultDownloadPath);
this.setDefault("queue.upload.permissions.default", true.ToString());
this.setDefault("queue.dock.badge", true.ToString());
this.setDefault("ssh.knownhosts",
Path.Combine(new RoamingSupportDirectoryFinder().find().getAbsolute(), "known_hosts"));
this.setDefault("browser.enterkey.rename", false.ToString());
this.setDefault("terminal.openssh.enable", true.ToString());
this.setDefault("terminal.windowssubsystemlinux.enable", true.ToString());
this.setDefault("terminal.command.ssh", Path.Combine(HomeFolder, "putty.exe"));
this.setDefault("terminal.command.ssh.args", "-ssh {0} {1}@{2} -t -P {3} -m \"{4}\"");
this.setDefault("terminal.command.openssh.args", "{1} {0}@{2} -t -p {3} \"cd '{4}'; $SHELL\"");
this.setDefault("editor.bundleIdentifier", new SystemWatchEditorFactory.Notepad().getIdentifier());
this.setDefault("notifications.timeout.milliseconds", "300");
//default browser toolbar set
this.setDefault("browser.toolbar", true.ToString());
this.setDefault("browser.toolbar.openconnection", true.ToString());
this.setDefault("browser.toolbar.quickconnect", true.ToString());
this.setDefault("browser.toolbar.action", true.ToString());
this.setDefault("browser.toolbar.info", true.ToString());
this.setDefault("browser.toolbar.refresh", true.ToString());
this.setDefault("browser.toolbar.edit", true.ToString());
this.setDefault("browser.toolbar.openinbrowser", false.ToString());
this.setDefault("browser.toolbar.openinterminal", false.ToString());
this.setDefault("browser.toolbar.newfolder", false.ToString());
this.setDefault("browser.toolbar.delete", false.ToString());
this.setDefault("browser.toolbar.download", false.ToString());
this.setDefault("browser.toolbar.upload", true.ToString());
this.setDefault("browser.toolbar.transfers", true.ToString());
//default transfer toolbar set
this.setDefault("transfer.toolbar.resume", true.ToString());
this.setDefault("transfer.toolbar.reload", true.ToString());
this.setDefault("transfer.toolbar.stop", true.ToString());
this.setDefault("transfer.toolbar.remove", true.ToString());
this.setDefault("transfer.toolbar.cleanup", false.ToString());
this.setDefault("transfer.toolbar.log", false.ToString());
this.setDefault("transfer.toolbar.open", true.ToString());
this.setDefault("transfer.toolbar.show", true.ToString());
// Resolve symbolic links downloading target file instead. Cannot create symbolic links on FAT.
this.setDefault("path.symboliclink.resolve", true.ToString());
// Resolve local links uploading target file instead. Currently not supporting shortcuts on Windows.
this.setDefault("local.symboliclink.resolve", true.ToString());
this.setDefault("local.user.home", HomeFolder);
this.setDefault("local.delimiter", "\\");
this.setDefault("local.normalize.tilde", false.ToString());
// SSL Keystore
// Add mscapi security provider
Security.addProvider(new SunMSCAPI());
this.setDefault("connection.ssl.keystore.type", "Windows-MY");
this.setDefault("connection.ssl.keystore.provider", "SunMSCAPI");
// Override secure random strong algorithm. Outputs bytes from the Windows CryptGenRandom() API
this.setDefault("connection.ssl.securerandom.algorithm", "Windows-PRNG");
this.setDefault("connection.ssl.securerandom.provider", "SunMSCAPI");
// Enable Integrated Windows Authentication
this.setDefault("connection.proxy.windows.authentication.enable", true.ToString());
this.setDefault("webdav.ntlm.environment", true.ToString());
if (getBoolean("webdav.ntlm.environment"))
{
// NTLM Windows Domain
try
{
// Gets the network domain name associated with the current user
this.setDefault("webdav.ntlm.domain", Environment.UserDomainName);
}
catch (PlatformNotSupportedException e)
{
// The operating system does not support retrieving the network domain name.
}
catch (InvalidOperationException e)
{
// The network domain name cannot be retrieved.
}
try
{
this.setDefault("webdav.ntlm.workstation", Environment.MachineName);
}
catch (InvalidOperationException e)
{
// The name of this computer cannot be obtained.
}
}
if (Utils.IsRunningAsUWP)
{
// Running from Windows Store
this.setDefault("update.check", $"{false}");
this.setDefault("tmp.dir", ApplicationData.Current.TemporaryFolder.Path);
}
// Apply global configuration
var config = Path.Combine(new RoamingSupportDirectoryFinder().find().getAbsolute(),
"default.properties");
if (File.Exists(config))
{
try
{
var properties = new java.util.Properties();
properties.load(new FileInputStream(config));
foreach (var key in Utils.ConvertFromJavaList <String>(properties.keySet()))
{
setDefault(key, properties.getProperty(key));
}
}
catch (Exception e)
{
Log.warn($"Failure while reading {config}", e);
}
}
}