update to 4.0.0 default properties

Author: J38

src/edu/stanford/nlp/pipeline/StanfordCoreNLP-french.properties

@@ -1,4 +1,5 @@
-annotators = tokenize,ssplit,mwt,pos,ner,depparse
+# annotators
+annotators = tokenize, ssplit, mwt, pos, ner, depparse
 
 # tokenize
 tokenize.language = fr
@@ -19,7 +20,7 @@ ner.applyNumericClassifiers = false
 ner.useSUTime = false
 
 # parse
-parse.model = edu/stanford/nlp/models/srparser/frenchSR.ser.gz
+parse.model = edu/stanford/nlp/models/srparser/frenchSR.beam.ser.gz
 
 # depparse
 depparse.model = edu/stanford/nlp/models/parser/nndep/UD_French.gz

src/edu/stanford/nlp/pipeline/StanfordCoreNLP-german.properties

@@ -1,20 +1,24 @@
+# annotators
 annotators = tokenize, ssplit, mwt, pos, ner, depparse
 
+# tokenize
 tokenize.language = de
 tokenize.postProcessor = edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor
 
+# mwt
 mwt.mappingFile = edu/stanford/nlp/models/mwt/german/german-mwt.tsv
 
-#pos.model = edu/stanford/nlp/models/pos-tagger/german-hgc.tagger
+# pos
 pos.model = edu/stanford/nlp/models/pos-tagger/german-ud.tagger
 
+# ner
 ner.model = edu/stanford/nlp/models/ner/german.distsim.crf.ser.gz
-ner.tokenProcessor = edu.stanford.nlp.international.german.process.GermanNERCoreLabelProcessor
 ner.applyNumericClassifiers = false
 ner.applyFineGrained = false
 ner.useSUTime = false
 
-parse.model = edu/stanford/nlp/models/lexparser/germanFactored.ser.gz
+# parse
+parse.model = edu/stanford/nlp/models/srparser/germanSR.beam.ser.gz
 
 # depparse
-depparse.model    = edu/stanford/nlp/models/parser/nndep/UD_German.gz
+depparse.model = edu/stanford/nlp/models/parser/nndep/UD_German.gz

src/edu/stanford/nlp/pipeline/StanfordCoreNLP-spanish.properties

@@ -4,14 +4,11 @@ annotators = tokenize, ssplit, mwt, pos, lemma, ner, depparse, kbp
 # tokenize
 tokenize.language = es
 
+# mwt
 mwt.mappingFile = edu/stanford/nlp/models/mwt/spanish/spanish-mwt.tsv
 
-# The first model uses a coarser version of Ancora tags (with less features marked).
-# It is the correct version to use with our PCFG or SR parsers
-#pos.model = edu/stanford/nlp/models/pos-tagger/spanish-distsim.tagger
+# pos
 pos.model = edu/stanford/nlp/models/pos-tagger/spanish-ud.tagger
-# The below part of speech tagger is the correct one to use with the dependency parser
-# pos.model = edu/stanford/nlp/models/pos-tagger/spanish-ud.tagger
 
 # ner
 ner.model = edu/stanford/nlp/models/ner/spanish.ancora.distsim.s512.crf.ser.gz
@@ -23,8 +20,7 @@ ner.language = es
 sutime.language = spanish
 
 # parse
-parse.model = edu/stanford/nlp/models/lexparser/spanishPCFG.ser.gz
-# parse.model = edu/stanford/nlp/models/srparser/spanishSR.ser.gz
+parse.model = edu/stanford/nlp/models/srparser/spanishSR.beam.ser.gz
 
 # depparse
 depparse.model = edu/stanford/nlp/models/parser/nndep/UD_Spanish.gz