public string[] PosTagTokens(string[] tokens)
{
if (mPosTagger == null)
{
mPosTagger = new OpenNLP.Tools.PosTagger.EnglishMaximumEntropyPosTagger(mModelPath + "EnglishPOS.nbin", mModelPath + @"\Parser\tagdict");
}
return(mPosTagger.Tag(tokens));
}
public string[] PosTagTokens(string[] tokens)
{
if (mPosTagger == null)
{
mPosTagger = new EnglishMaximumEntropyPosTagger(mModelPath + "EnglishPOS.nbin",
mModelPath + @"\Parser\tagdict");
}
return mPosTagger.Tag(tokens);
}
public bool LoadModel(string ModelFile)
{
try
{
posTagger = new EnglishMaximumEntropyPosTagger(ModelFile);
_isMAxentModelLoaded = true;
return true;
}
catch
{
System.Console.WriteLine("Uable to load the Stanford CRF Model... ");
_isMAxentModelLoaded = false;
return false;
}
}
/// <summary>
/// Create a parser and default goals.
/// </summary>
/// <param name="brain">The brain</param>
/// <param name="robot">The robot</param>
public override void Init(Brain.CBrain brain, IRobot robot)
{
this.brain = brain;
this.robot = robot;
// Load external NLP systems in their own threads
restorerLoaded = new AutoResetEvent(false);
parserLoaded = new AutoResetEvent(false);
Thread parserLoader = new Thread(InitParser);
Thread restorerLoader = new Thread(InitRestorer);
parserLoader.Start();
restorerLoader.Start();
// Load up other systems in the meantime
this.tokenizer = new EnglishMaximumEntropyTokenizer(sharpNLPPath + "EnglishTok.nbin");
this.tagger = new EnglishMaximumEntropyPosTagger(sharpNLPPath + "EnglishPOS.nbin", sharpNLPPath + @"\Parser\tagdict");
// Make default goals
GoalBuilder gotoGoal = new GoalBuilder("GotoX", brain);
int ruleIndex = gotoGoal.AddRule("GotoX");
gotoGoal.AddAndAntecedent(ruleIndex, "CurrentDestination Arg *=*;1");
gotoGoal.AddConsequent(ruleIndex, "Execs", "Voice Say \"Going to the $CurrentDestination_\"");
gotoGoal.AddConsequent(ruleIndex, "Execs", "Motion GoTo $CurrentDestination close");
gotoGoal.AddConsequent(ruleIndex, "Execs", "Voice Say \"Commander, I finished moving to the $CurrentDestination_\"");
gotoGoal.AddConsequent(ruleIndex, "Remove", "CurrentDestination Arg");
gotoGoal.AddConsequent(ruleIndex, "Quit", "");
gotoGoal.Commit();
failureGoal = new GoalBuilder("DidNotUnderstand", brain);
ruleIndex = failureGoal.AddRule("DidNotUnderstand");
failureGoal.AddConsequent(ruleIndex, "Execs", "Voice Say \"I didn't understand what you said.\"");
failureGoal.AddConsequent(ruleIndex, "Quit", "");
failureGoal.Commit();
GoalBuilder goingToGoal = new GoalBuilder("SayGoingToX", brain);
ruleIndex = goingToGoal.AddRule("SayGoingToX");
goingToGoal.AddAndAntecedent(ruleIndex, "CurrentDestination Arg *=*;1");
goingToGoal.AddConsequent(ruleIndex, "Execs", "Voice Say \"I'm Going to the $CurrentDestination_\"");
goingToGoal.AddConsequent(ruleIndex, "Quit", "");
goingToGoal.Commit();
GoalBuilder goingNowhereGoal = new GoalBuilder("SayGoingNowhere", brain);
ruleIndex = goingNowhereGoal.AddRule("SayGoingNowhere");
goingNowhereGoal.AddConsequent(ruleIndex, "Execs", "Voice Say \"I'm not going anywhere right now.\"");
goingNowhereGoal.AddConsequent(ruleIndex, "Quit", "");
goingNowhereGoal.Commit();
GoalBuilder dontKnowGoal = new GoalBuilder("DontKnowHowToX", brain);
ruleIndex = dontKnowGoal.AddRule("DontKnowHowToX");
dontKnowGoal.AddAndAntecedent(ruleIndex, "DontKnow Arg *=*;1");
dontKnowGoal.AddConsequent(ruleIndex, "Execs", "Voice Say \"Sorry, but I don't know how to $DontKnow_\"");
dontKnowGoal.AddConsequent(ruleIndex, "Remove", "DontKnow Arg");
dontKnowGoal.AddConsequent(ruleIndex, "Quit", "");
dontKnowGoal.Commit();
// Wait for all systems to finish loading
restorerLoaded.WaitOne();
parserLoaded.WaitOne();
this.semantics = new SemanticsInterface();
}
private void initComponents()
{
sentenceDetector = new EnglishMaximumEntropySentenceDetector(Path.Combine(ModelDir, "EnglishSD.nbin"));
tokenizer = new EnglishMaximumEntropyTokenizer(Path.Combine(ModelDir, "EnglishTok.nbin"));
posTagger = new EnglishMaximumEntropyPosTagger(Path.Combine(ModelDir, "EnglishPOS.nbin"));
chunker = new EnglishTreebankChunker(Path.Combine(ModelDir, "EnglishChunk.nbin"));
parser = new EnglishTreebankParser(FileUtils.WithSeparator(ModelDir), true, false);
}
private void TestDechunk()
{
// detokenize
var inputs = new string[]
{
"- Harry's your sister. - Look, what exactly am I supposed to be doing here?",
"\"Piss off!\"",
"- Sorry Mrs. Hudson, I'll skip the tea. Off out. - Both of you?",
"I love playing half-life; that's just who I am!",
"That's why I... have just begun to write a book.",
"And they lived happily ever after...",
"It's gonna be $1.5 sir."
};
//
var tokenizer = new EnglishMaximumEntropyTokenizer(currentDirectory + "../Resources/Models/EnglishTok.nbin");
var chunker = new EnglishTreebankChunker(currentDirectory + "../Resources/Models/EnglishChunk.nbin");
var dechunker = new RegexDictionaryDechunker();
var detokienizer = new DictionaryDetokenizer();
var englishPosPath = currentDirectory + "../Resources/Models/EnglishPOS.nbin";
var tagDictPath = currentDirectory + "../Resources/Models/Parser/tagdict";
var posTagger = new EnglishMaximumEntropyPosTagger(englishPosPath, tagDictPath);
foreach (var input in inputs)
{
string[] tokens = tokenizer.Tokenize(input);
string[] tags = posTagger.Tag(tokens);
var chunks = chunker.GetChunks(tokens, tags);
var chunksStrings = chunks
.Select(ch => detokienizer.Detokenize(ch.TaggedWords.Select(tw => tw.Word).ToArray()))
.ToArray();
var output = dechunker.Dechunk(chunksStrings);
Console.WriteLine("input: " + input);
Console.WriteLine("chunks: " + string.Join(" | ", chunks));
Console.WriteLine("ouput: " + output);
Console.WriteLine("--");
}
}
