Erik Ziegler

When applying the MUC **only** I get the same as above. Debugging the baseClassifier array it looks like this:  As you can see the same errors...

@AngledLuffa Thanks for the hint with the license. I am not a licensee (yet) but will get in contact once everything works as expected. But remember that due to the...

Ok I unpacked your jar and found out: truecasing.fast.caseless.qn.ser.gz - 15.8 MB But how is this possible? You are training on 4.5 million sentences and I am training on only...

This is my whole training configration ``` serializeTo=truecasing.fast.caseless.qn.ser.gz trainFileList=data.train testFile=data.test map=word=0,answer=1 wordFunction = edu.stanford.nlp.process.LowercaseFunction useClassFeature=true useWord=true useNGrams=true noMidNGrams=true maxNGramLeng=6 usePrev=true useNext=true useLongSequences=true useSequences=true usePrevSequences=true useTypeSeqs=true useTypeSeqs2=true useTypeySequences=true useOccurrencePatterns=true useLastRealWord=true useNextRealWord=true...

When I add l1reg I get the following error: ``` Exception in thread "main" edu.stanford.nlp.util.ReflectionLoading$ReflectionLoadingException: Error creating edu.stanford.nlp.optimization.OWLQNMinimizer at edu.stanford.nlp.util.ReflectionLoading.loadByReflection(ReflectionLoading.java:38) at edu.stanford.nlp.ie.crf.CRFClassifier.getMinimizer(CRFClassifier.java:2003) at edu.stanford.nlp.ie.crf.CRFClassifier.trainWeights(CRFClassifier.java:1902) at edu.stanford.nlp.ie.crf.CRFClassifier.train(CRFClassifier.java:1742) at edu.stanford.nlp.ie.AbstractSequenceClassifier.train(AbstractSequenceClassifier.java:785) at edu.stanford.nlp.ie.AbstractSequenceClassifier.train(AbstractSequenceClassifier.java:756)...

Nice, thank you very much! Have you trained with the normal QNMinimizer in your recent training?

Thank you! I think I'll retrain our truecaser in the next days and give the parameters a try!

@zaptrem wrote to you on Telegram

@zaptrem Hey sorry for being absent maybe I can look at it in the next time. But if its deep down in DeepSpeech I will not be able to help...

@reuben super awesome that you are working on this! This is actually perfect timing as we are looking for an offline speech recognition for iOS right now. I know it's...