diff --git a/.gitignore b/.gitignore
index df93758..1d77f02 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,5 @@
+outputs/
+
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]
diff --git a/DeReKo/all_dereko_filenames.txt b/DeReKo/all_dereko_filenames.txt
new file mode 100644
index 0000000..5d9940f
--- /dev/null
+++ b/DeReKo/all_dereko_filenames.txt
@@ -0,0 +1,3173 @@
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+vdi13
+vdi14
+vdi15
+vdi16
+vdi17
+vdi18
+vdi19
+vru17
+vru18
+vru19
+vsw17
+vsw18
+vsw19
+vzs13
+vzs14
+vzs15
+vzs16
+vzs17
+vzs18
+vzs19
+w00
+w01
+w02
+w03
+w04
+w05
+w06
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+w08
+w09
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+w11
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+w13
+w14
+w15
+w16
+w17
+w18
+w19
+w99
+was00
+was01
+was02
+was03
+was04
+was05
+was06
+was07
+was08
+was09
+was10
+was11
+was12
+was13
+was14
+was15
+was16
+was17
+was18
+was19
+was97
+was98
+was99
+wbl00
+wbl01
+wbl02
+wbl03
+wbl04
+wbl05
+wbl06
+wbl07
+wbl08
+wbl09
+wbl10
+wbl11
+wbl12
+wbl13
+wbl14
+wbl15
+wbl16
+weo09
+weo10
+weo11
+weo12
+weo13
+weo14
+weo15
+weo16
+weo17
+weo18
+weo19
+wez09
+wez10
+wez11
+wez12
+wez13
+wez14
+wez15
+wez16
+wez17
+wez18
+wez19
+wfb10
+wfb11
+wfb12
+wfb13
+wfb14
+wfb15
+wfb18
+wfb19
+wiz00
+wiz01
+wiz02
+wiz03
+wiz04
+wiz05
+wiz06
+wiz07
+wiz08
+wiz09
+wiz10
+wiz11
+wiz12
+wiz13
+wiz14
+wiz15
+wiz16
+wiz17
+wiz18
+wiz19
+wkb
+wkd
+wku00
+wku01
+wku03
+wku04
+wku05
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+wku07
+wku08
+wku09
+wku10
+wku11
+wku12
+wku13
+wku14
+wku15
+wku16
+wku17
+wku18
+wku19
+wor02
+wor03
+wor04
+wor05
+wor06
+wor07
+wor08
+wor09
+wor10
+wor11
+wor12
+wor13
+wor14
+wor15
+wor16
+wor17
+wor18
+wor19
+wtb02
+wtb03
+wtb04
+wtb05
+wtb06
+wtb07
+wtb08
+wtb09
+wtb10
+wtb11
+wtb12
+wtb13
+wtb14
+wtb15
+wtb16
+wtb17
+wtb18
+wtb19
+wwo05
+wwo06
+wwo07
+wwo08
+wwo09
+wwo10
+wwo11
+wwo12
+wwo13
+wwo14
+wwo15
+wwo16
+wwo17
+wwo18
+wwo19
+x00
+x01
+x02
+x03
+x04
+x08
+x09
+x10
+x11
+x12
+x13
+x14
+x15
+x16
+x17
+x18
+x19
+x96
+x97
+x98
+x99
+z00
+z01
+z02
+z03
+z04
+z05
+z06
+z07
+z08
+z09
+z10
+z11
+z12
+z13
+z14
+z15
+z16
+z17
+z18
+z19
+z53
+z54
+z55
+z56
+z57
+z58
+z59
+z60
+z61
+z62
+z63
+z64
+z65
+z66
+z67
+z68
+z69
+z70
+z71
+z72
+z73
+z74
+z75
+z76
+z77
+z78
+z79
+z80
+z81
+z82
+z83
+z84
+z85
+z86
+z87
+z88
+z89
+z90
+z91
+z92
+z93
+z94
+z95
+z96
+z97
+z98
+z99
+zca09
+zca10
+zca11
+zca12
+zca13
+zca14
+zca15
+zca16
+zca17
+zca18
+zca19
+zcw15
+zcw16
+zcw17
+zcw18
+zcw19
+zge10
+zge11
+zge12
+zge13
+zge14
+zge15
+zge16
+zge17
+zge18
+zge19
+zwi09
+zwi10
+zwi11
+zwi12
+zwi13
+zwi14
+zwi15
+zwi17
+zwi18
+zwi19
diff --git a/DeReKo/cheche.txt b/DeReKo/cheche.txt
new file mode 100644
index 0000000..26c4090
--- /dev/null
+++ b/DeReKo/cheche.txt
@@ -0,0 +1,11 @@
+a00
+a01
+a07
+a08
+a09
+a10
+zwi10
+zwi11
+zwi12
+zwi13
+zwi14
\ No newline at end of file
diff --git a/DeReKo/exec_dereko_parallel.sh b/DeReKo/exec_dereko_parallel.sh
new file mode 100644
index 0000000..13ca557
--- /dev/null
+++ b/DeReKo/exec_dereko_parallel.sh
@@ -0,0 +1,94 @@
+#!/bin/bash
+
+source ~/.bashrc
+
+ROOT_DATAPATH=/export/netapp/kupietz/N-GRAMM-STUDIE/conllu
+FILES_TO_PROCESS=DeReKo/all_dereko_filenames.txt
+
+while IFS= read -r line
+do
+  my_files+=($line)
+done < ${FILES_TO_PROCESS}
+
+let files_len=${#my_files[@]}+10
+
+for (( i=0; i<=$files_len; i+=10 ))
+  do 
+  	let next=i
+	file_1=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_2=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_3=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_4=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_5=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_6=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_7=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_8=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_9=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	let next=next+1
+	file_10=${my_files[next]}
+	python systems/parse_spacy.py --corpus_name DeReKo_${my_files[next]} --comment_str "#" \
+	  -i ${ROOT_DATAPATH}/${my_files[next]}.conllu.gz \
+	  -o ${ROOT_DATAPATH}/0_SpaCyParsed/${my_files[next]}.spacy.gl.conllu &
+	wait
+	# Remove Original Uncompressed Files
+	rm ${ROOT_DATAPATH}/${file_1}.conllu
+	rm ${ROOT_DATAPATH}/${file_2}.conllu
+	rm ${ROOT_DATAPATH}/${file_3}.conllu
+	rm ${ROOT_DATAPATH}/${file_4}.conllu
+	rm ${ROOT_DATAPATH}/${file_5}.conllu
+	rm ${ROOT_DATAPATH}/${file_6}.conllu
+	rm ${ROOT_DATAPATH}/${file_7}.conllu
+	rm ${ROOT_DATAPATH}/${file_8}.conllu
+	rm ${ROOT_DATAPATH}/${file_9}.conllu
+	rm ${ROOT_DATAPATH}/${file_10}.conllu
+	# ZIP The generated Parsed Outputs
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_1}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_2}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_3}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_4}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_5}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_6}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_7}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_8}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_9}.spacy.gl.conllu &
+	gzip ${ROOT_DATAPATH}/0_SpaCyParsed/${file_10}.spacy.gl.conllu &
+	wait
+  done
+  
+  
+  
diff --git a/DeReKo/tutorial_examples/explore_dereko.py b/DeReKo/explore_dereko.py
similarity index 78%
rename from DeReKo/tutorial_examples/explore_dereko.py
rename to DeReKo/explore_dereko.py
index fcf4915..c5ddc49 100644
--- a/DeReKo/tutorial_examples/explore_dereko.py
+++ b/DeReKo/explore_dereko.py
@@ -17,5 +17,7 @@
         prefix = fn.split(".")[0]
         prefix = re.findall("\D+", prefix)[0]
         file_groups[prefix].append(fn)
-    for group,files in sorted(file_groups.items(), key=lambda x: len(x[1]), reverse=True):
-        print(group, len(files))
\ No newline at end of file
+        print(fn.split(".")[0])
+    
+    #for group,files in sorted(file_groups.items(), key=lambda x: len(x[1]), reverse=True):
+    #    print(group, len(files))
\ No newline at end of file
diff --git a/DeReKo/spacy_train/basic_config_allOrth.cfg b/DeReKo/spacy_train/basic_config_allOrth.cfg
new file mode 100644
index 0000000..2b27744
--- /dev/null
+++ b/DeReKo/spacy_train/basic_config_allOrth.cfg
@@ -0,0 +1,81 @@
+[paths]
+train = "/vol/netapp/daza/datasets/TIGER_conll/data_splits/train/Tiger.ALL.Orth.train.spacy"
+dev = "/vol/netapp/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.spacy"
+
+[system]
+gpu_allocator = "pytorch"
+
+
+[nlp]
+lang = "de"
+pipeline = ["transformer", "tagger"]
+tokenizer = {"@tokenizers": "spacy.Tokenizer.v1"}
+
+[components]
+
+[components.transformer]
+factory = "transformer"
+
+[components.transformer.model]
+@architectures = "spacy-transformers.TransformerModel.v1"
+name = "bert-base-german-cased"
+tokenizer_config = {"use_fast": true}
+
+[components.transformer.model.get_spans]
+@span_getters = "spacy-transformers.strided_spans.v1"
+window = 128
+stride = 96
+
+
+[components.tagger]
+factory = "tagger"
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+
+[components.tagger.model.tok2vec.pooling]
+@layers = "reduce_mean.v1"
+
+
+
+[corpora]
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 500
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+
+[training]
+accumulate_gradient = 3
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+
+[training.optimizer.learn_rate]
+@schedules = "warmup_linear.v1"
+warmup_steps = 250
+total_steps = 20000
+initial_rate = 5e-5
+
+
+
+[training.batcher]
+@batchers = "spacy.batch_by_padded.v1"
+discard_oversize = true
+size = 2000
+buffer = 256
+
+[initialize]
+vectors = null
diff --git a/DeReKo/spacy_train/basic_config.cfg b/DeReKo/spacy_train/basic_config_newOrth.cfg
similarity index 100%
rename from DeReKo/spacy_train/basic_config.cfg
rename to DeReKo/spacy_train/basic_config_newOrth.cfg
diff --git a/DeReKo/spacy_train/config_allOrth.cfg b/DeReKo/spacy_train/config_allOrth.cfg
new file mode 100644
index 0000000..cf3b09b
--- /dev/null
+++ b/DeReKo/spacy_train/config_allOrth.cfg
@@ -0,0 +1,123 @@
+[paths]
+train = "/vol/netapp/daza/datasets/TIGER_conll/data_splits/train/Tiger.ALL.Orth.train.spacy"
+dev = "/vol/netapp/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.spacy"
+vectors = null
+init_tok2vec = null
+
+[system]
+gpu_allocator = "pytorch"
+seed = 0
+
+[nlp]
+lang = "de"
+pipeline = ["transformer","tagger"]
+tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"}
+disabled = []
+before_creation = null
+after_creation = null
+after_pipeline_creation = null
+
+[components]
+
+[components.tagger]
+factory = "tagger"
+
+[components.tagger.model]
+@architectures = "spacy.Tagger.v1"
+nO = null
+
+[components.tagger.model.tok2vec]
+@architectures = "spacy-transformers.TransformerListener.v1"
+grad_factor = 1.0
+pooling = {"@layers":"reduce_mean.v1"}
+
+[components.transformer]
+factory = "transformer"
+max_batch_items = 4096
+set_extra_annotations = {"@annotation_setters":"spacy-transformers.null_annotation_setter.v1"}
+
+[components.transformer.model]
+@architectures = "spacy-transformers.TransformerModel.v1"
+name = "bert-base-german-cased"
+
+[components.transformer.model.get_spans]
+@span_getters = "spacy-transformers.strided_spans.v1"
+window = 128
+stride = 96
+
+[components.transformer.model.tokenizer_config]
+use_fast = true
+
+[corpora]
+
+[corpora.dev]
+@readers = "spacy.Corpus.v1"
+path = ${paths.dev}
+max_length = 0
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[corpora.train]
+@readers = "spacy.Corpus.v1"
+path = ${paths.train}
+max_length = 500
+gold_preproc = false
+limit = 0
+augmenter = null
+
+[training]
+accumulate_gradient = 3
+dev_corpus = "corpora.dev"
+train_corpus = "corpora.train"
+seed = ${system.seed}
+gpu_allocator = ${system.gpu_allocator}
+dropout = 0.1
+patience = 1600
+max_epochs = 0
+max_steps = 20000
+eval_frequency = 200
+frozen_components = []
+before_to_disk = null
+
+[training.batcher]
+@batchers = "spacy.batch_by_padded.v1"
+discard_oversize = true
+size = 2000
+buffer = 256
+get_length = null
+
+[training.logger]
+@loggers = "spacy.ConsoleLogger.v1"
+progress_bar = false
+
+[training.optimizer]
+@optimizers = "Adam.v1"
+beta1 = 0.9
+beta2 = 0.999
+L2_is_weight_decay = true
+L2 = 0.01
+grad_clip = 1.0
+use_averages = false
+eps = 0.00000001
+
+[training.optimizer.learn_rate]
+@schedules = "warmup_linear.v1"
+warmup_steps = 250
+total_steps = 20000
+initial_rate = 0.00005
+
+[training.score_weights]
+tag_acc = 1.0
+
+[pretraining]
+
+[initialize]
+vectors = null
+init_tok2vec = ${paths.init_tok2vec}
+vocab_data = null
+lookups = null
+
+[initialize.components]
+
+[initialize.tokenizer]
\ No newline at end of file
diff --git a/DeReKo/spacy_train/config.cfg b/DeReKo/spacy_train/config_newOrth.cfg
similarity index 100%
rename from DeReKo/spacy_train/config.cfg
rename to DeReKo/spacy_train/config_newOrth.cfg
diff --git a/DeReKo/spacy_train/conll2spacy.py b/DeReKo/spacy_train/conll2spacy.py
index f0d0d4c..9be14ab 100644
--- a/DeReKo/spacy_train/conll2spacy.py
+++ b/DeReKo/spacy_train/conll2spacy.py
@@ -4,17 +4,32 @@
 
 if __name__ == "__main__":
 	"""
-		--- TIGER New Orthography ---
-			python DeReKo/spacy_train/conll2spacy.py --corpus_name TigerNew --gld_token_type CoNLLUP_Token \
-				-i /home/daza/datasets/TIGER_conll/data_splits/train/Tiger.NewOrth.train.conll \
-				-o DeReKo/spacy_train/Tiger.NewOrth.train.json \
-				-t DeReKo/spacy_train/Tiger.NewOrth.train.txt
-			
-			python DeReKo/spacy_train/conll2spacy.py --corpus_name TigerNew --gld_token_type CoNLLUP_Token \
+	
+	--- TIGER NEW Orthography ---
+		python DeReKo/spacy_train/conll2spacy.py --corpus_name TigerNew --gld_token_type CoNLLUP_Token \
+			-i /home/daza/datasets/TIGER_conll/data_splits/train/Tiger.NewOrth.train.conll \
+			-o DeReKo/spacy_train/Tiger.NewOrth.train.json \
+			-t DeReKo/spacy_train/Tiger.NewOrth.train.txt
+		
+		python DeReKo/spacy_train/conll2spacy.py --corpus_name TigerNew --gld_token_type CoNLLUP_Token \
 			-i /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll \
 			-o DeReKo/spacy_train/Tiger.NewOrth.test.json \
 			-t DeReKo/spacy_train/Tiger.NewOrth.test.txt
 			
+	--- TIGER NEW + OLD Orthography ---
+		cat Tiger.OldOrth.train.conll Tiger.NewOrth.train.conll > Tiger.ALL.Orth.train.conll
+		cat Tiger.OldOrth.test.conll Tiger.NewOrth.test.conll > Tiger.ALL.Orth.test.conll
+	
+		python DeReKo/spacy_train/conll2spacy.py --corpus_name TigerALL --gld_token_type CoNLLUP_Token \
+			-i /home/daza/datasets/TIGER_conll/data_splits/train/Tiger.ALL.Orth.train.conll \
+			-o /home/daza/datasets/TIGER_conll/data_splits/train/Tiger.ALL.Orth.train.json \
+			-t /home/daza/datasets/TIGER_conll/data_splits/train/Tiger.ALL.Orth.train.txt
+		
+		python DeReKo/spacy_train/conll2spacy.py --corpus_name TigerALL --gld_token_type CoNLLUP_Token \
+			-i /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.ALL.Orth.test.conll \
+			-o /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.ALL.Orth.test.json \
+			-t /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.ALL.Orth.test.txt
+			
 	"""
 	
 	parser = argparse.ArgumentParser()
diff --git a/DeReKo/spacy_train/custom_spacy_dereko.py b/DeReKo/spacy_train/custom_spacy_dereko.py
index a4674dd..4b35282 100644
--- a/DeReKo/spacy_train/custom_spacy_dereko.py
+++ b/DeReKo/spacy_train/custom_spacy_dereko.py
@@ -1,11 +1,11 @@
 import spacy
+ 
+ORIG_DEREKO_VECS = "/export/netapp/kupietz/embeddings/dereko-2020-ii-alpha.all.txt.gz"
 
-#ORIG_DEREKO_VECS = "/export/netapp/kupietz/embeddings/dereko-2020-ii-alpha.all.txt.gz"
+# Made with command (2.x): python -m spacy init-model de de_fastext_vectors --vectors-loc dereko_vectors/cc.de.300.vec.gz
+# Made with command (3.x): python -m spacy init vectors de dereko_vectors/dereko-2020-ii-alpha.all.txt dereko_vectors/ --name de_dereko_2020
+VECTORS  = "lib/dereko_vectors" 
 
-# Made with command: python -m spacy init-model de de_fastext_vectors --vectors-loc dereko_vectors/cc.de.300.vec.gz
-SPACY_FAST_DE = "../../lib/de_fastext_vectors" 
-
-VECTORS = SPACY_FAST_DE
 
 nlp_dereko = spacy.load(VECTORS)
 doc1 = nlp_dereko("`` Ross Perot wäre vielleicht ein prächtiger Diktator ''")
diff --git a/DeReKo/spacy_train/spacy_bin_corpora/Tiger.NewOrth.test.spacy b/DeReKo/spacy_train/spacy_bin_corpora/Tiger.NewOrth.test.spacy
deleted file mode 100644
index de11ccc..0000000
--- a/DeReKo/spacy_train/spacy_bin_corpora/Tiger.NewOrth.test.spacy
+++ /dev/null
Binary files differ
diff --git a/DeReKo/spacy_train/spacy_bin_corpora/Tiger.NewOrth.train.spacy b/DeReKo/spacy_train/spacy_bin_corpora/Tiger.NewOrth.train.spacy
deleted file mode 100644
index 857239d..0000000
--- a/DeReKo/spacy_train/spacy_bin_corpora/Tiger.NewOrth.train.spacy
+++ /dev/null
Binary files differ
diff --git a/my_utils/clean_dereko_vectors.py b/my_utils/clean_dereko_vectors.py
new file mode 100644
index 0000000..934ce27
--- /dev/null
+++ b/my_utils/clean_dereko_vectors.py
@@ -0,0 +1,14 @@
+import gzip
+
+ORIG_DEREKO_VECS = "/export/netapp/kupietz/embeddings/dereko-2020-ii-alpha.all.txt.gz"
+txt_vec = open("/home/daza/ids-projects/DeReKo/spacy_train/dereko-2020-ii-alpha.all.txt", "w")
+
+skept_vecs = 0
+with gzip.open(ORIG_DEREKO_VECS,'r') as f:        
+	for ix, line in enumerate(f):     
+		try:
+			txt_vec.write(line.decode("utf-8"))
+		except:
+			skept_vecs += 1
+
+print(skept_vecs)
\ No newline at end of file
diff --git a/my_utils/conll_to_tok.py b/my_utils/conll_to_tok.py
index d5656e8..2dbe2ed 100644
--- a/my_utils/conll_to_tok.py
+++ b/my_utils/conll_to_tok.py
@@ -12,11 +12,21 @@
 				-ss "</S>" \
 				--token_type CoNLL09_Token
 				
+			*** GERMAN UNIVERSAL DEPS TEST ***
+			
 			python my_utils/conll_to_tok.py \
 				-s /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu \
 				-ss "</S>" \
 				--token_type CoNLLUP_Token
 			
+			*** TIGER TEST NEW ORTH ***
+			
+			python my_utils/conll_to_tok.py \
+			-s /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll \
+			-ss "</S>" \
+			--token_type CoNLLUP_Token
+			
+		
 		For RNNTagger
 			python my_utils/conll_to_tok.py \
 				-s /home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09 \
@@ -34,7 +44,10 @@
 	parser.add_argument("-c", "--com_str", help="Skip line if it starts with this string (comment market)", default="# ")
 	args = parser.parse_args()
 	
-	output_file = open(f"{args.src_file}.tok","w")
+	if args.sent_sep == "":
+		output_file = open(f"{args.src_file}.tok","w")
+	else:
+		output_file = open(f"{args.src_file}.sep.tok","w")
 	
 	for conll_obj in read_conll_generator(args.src_file, token_class=get_token_type(args.token_type), comment_str=args.com_str):
 		for tok in conll_obj.tokens:
diff --git a/my_utils/make_new_orth_silver_lemmas.py b/my_utils/make_new_orth_silver_lemmas.py
new file mode 100644
index 0000000..e69de29
--- /dev/null
+++ b/my_utils/make_new_orth_silver_lemmas.py
diff --git a/my_utils/make_tiger_new_orth.py b/my_utils/make_tiger_new_orth.py
index 8886f74..7bb42f4 100644
--- a/my_utils/make_tiger_new_orth.py
+++ b/my_utils/make_tiger_new_orth.py
@@ -2,7 +2,7 @@
 from lib.CoNLL_Annotation import read_conll, CoNLL09_Token, TigerNew_Token 
 from collections import Counter
 
-ORIGINAL_TIGER = "/home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09"
+ORIGINAL_TIGER = "/home/daza/datasets/TIGER_conll/TIGER_original_data/tiger_release_aug07.corrected.16012013.conll09"
 NEW_ORTH = "/vol/work/kupietz/Tiger_2_2/data/german/tiger/train/german_tiger_new_orthography.csv"
 
 
@@ -62,17 +62,17 @@
 	print(f"{len(problematic_sents)}/{len(train_tiger)} ({len(problematic_sents)*100/len(train_tiger)}%) of sentences have change of orthography.")
 	print(f"{len(token_changes)}/{total_tokens} ({len(token_changes)*100/total_tokens}%) of tokens have change of orthography.")
 	# Save Files
-	tiger_path = "/home/daza/datasets/TIGER_conll/"
+	save_path = "/home/daza/datasets/TIGER_conll"
 	new_cases = Counter(token_changes).most_common()
 	case_mapping = get_confident_mapping(new_cases)
 	# Stats
-	fu.counter_to_file(new_cases, f"{tiger_path}/TigerTokensChangeOrth.train.tsv")
-	fu.dict_to_file(case_mapping, f"{tiger_path}/TigerOrthMapping.train.json")
-	fu.list_to_file(problematic_sents, f"{tiger_path}/NewOrthProblems_Indices.train.txt")
+	fu.counter_to_file(new_cases, f"{save_path}/TigerTokensChangeOrth.train.tsv")
+	fu.dict_to_file(case_mapping, f"{save_path}/TigerOrthMapping.train.json")
+	fu.list_to_file(problematic_sents, f"{save_path}/NewOrthProblems_Indices.train.txt")
 	# Train/Test Splits
 	old_train, new_train = zip(*train_tiger)
-	fu.write_conll_file(old_train, out_path=f"{tiger_path}/Tiger.OldOrth.train.conll")
-	fu.write_conll_file(new_train, out_path=f"{tiger_path}/Tiger.NewOrth.train.conll")
-	fu.write_conll_file(test_tiger, out_path=f"{tiger_path}/Tiger.OldOrth.test.conll")
+	fu.write_conll_file(old_train, out_path=f"{save_path}/Tiger.OldOrth.train.conll")
+	fu.write_conll_file(new_train, out_path=f"{save_path}/Tiger.NewOrth.train.conll")
+	fu.write_conll_file(test_tiger, out_path=f"{save_path}/Tiger.OldOrth.test.conll")
 	
 		
diff --git a/systems/Run_Tree-RNN_Taggers.txt b/systems/Run_Tree-RNN_Taggers.txt
index e0ea45f..98a9dd2 100644
--- a/systems/Run_Tree-RNN_Taggers.txt
+++ b/systems/Run_Tree-RNN_Taggers.txt
@@ -1,7 +1,17 @@
+# To Preprocess Files (conllu ---> .sep.tok ^ .tok)
+
+python my_utils/conll_to_tok.py \
+-s /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu \
+-ss "</S>" \
+--token_type CoNLLUP_Token
 
 # TreeTagger:
 
-time cmd/tree-tagger-german-notokenize /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu.sep.tok /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.treetagger.parsed.conll
+time cmd/tree-tagger-german-notokenize /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu.sep.tok > /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.treetagger.parsed.conll
+
+time cmd/tree-tagger-german-notokenize /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.OldOrth.test.conll.sep.tok > /home/daza/datasets/TIGER_conll/sys_outputs/Tiger.OldOrth.test.TreeTagger.conll
 	
 # RNN Tagger:
-time cmd/rnn-tagger-german-notokenize.sh /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu.tok > /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.RNNtagger.parsed.conll
\ No newline at end of file
+time cmd/rnn-tagger-german-notokenize.sh /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu.tok > /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.RNNtagger.parsed.conll
+
+time cmd/rnn-tagger-german-notokenize.sh /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll.tok > /home/daza/datasets/TIGER_conll/sys_outputs/Tiger.NewOrth.test.RNNTagger.conll
diff --git a/systems/evaluate.py b/systems/evaluate.py
index 11ffd51..839cd37 100644
--- a/systems/evaluate.py
+++ b/systems/evaluate.py
@@ -44,8 +44,8 @@
     match, err, symbol = 0, 0, []
     y_gld, y_pred, mistakes = [], [], []
     for i, gld_tok in enumerate(gld.tokens):
-        # sys_lemma = tree_tagger_fixes.get(sys.tokens[i].lemma, sys.tokens[i].lemma)  # Omit TreeTagger "errors" because of article lemma disagreement 
         sys_lemma = sys.tokens[i].lemma
+        # sys_lemma = tree_tagger_fixes.get(sys.tokens[i].lemma, sys.tokens[i].lemma)  # Omit TreeTagger "errors" because of article lemma disagreement 
         y_gld.append(gld_tok.pos_tag)
         y_pred.append(sys_lemma)
         if gld_tok.lemma == sys_lemma:
@@ -87,41 +87,57 @@
         
         ********** TIGER CORPUS ALL ************
         
-            python systems/evaluate.py -t Turku --corpus_name Tiger\
+            python systems/evaluate.py -t Turku --corpus_name Tiger --gld_token_type CoNLL09_Token \
                 --sys_file /home/daza/datasets/TIGER_conll/tiger_turku_parsed.conllu \
                 --gld_file /home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09
                 
-            python systems/evaluate.py -t SpaCy --corpus_name Tiger\
+            python systems/evaluate.py -t SpaCy --corpus_name Tiger --gld_token_type CoNLL09_Token \
                 --sys_file /home/daza/datasets/TIGER_conll/tiger_spacy_parsed.conllu \
                 --gld_file /home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09
                 
-            python systems/evaluate.py -t RNNTagger --corpus_name Tiger\
+            python systems/evaluate.py -t RNNTagger --corpus_name Tiger --gld_token_type CoNLL09_Token \
                 --sys_file /home/daza/datasets/TIGER_conll/tiger_all.parsed.RNNTagger.conll \
                 --gld_file /home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09
             
-            python systems/evaluate.py -t TreeTagger --corpus_name Tiger\
+            python systems/evaluate.py -t TreeTagger --corpus_name Tiger --gld_token_type CoNLL09_Token \
                 --sys_file /home/daza/datasets/TIGER_conll/tiger_all.parsed.TreeTagger.conll \
                 --gld_file /home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09
             
+        
+        ********** TIGER CORPUS TEST ************
+        
+        python systems/evaluate.py -t SpaCy --corpus_name TigerTestOld \
+        --sys_file /home/daza/datasets/TIGER_conll/tiger_spacy_parsed.test.conllu \
+        --gld_file /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.OldOrth.test.conll
+        
+        python systems/evaluate.py -t SpaCy --corpus_name TigerTestNew \
+        --sys_file /home/daza/datasets/TIGER_conll/Tiger.NewOrth.test.spacy_parsed.conllu\
+        --gld_file /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll
+        
+        
+        python systems/evaluate.py -t Turku --corpus_name TigerTestNew \
+        --sys_file /home/daza/datasets/TIGER_conll/sys_outputs/Tiger.NewOrth.test.turku_parsed.conllu \
+        --gld_file /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll
+        
         ********** UNIVERSAL DEPENDENCIES TEST-SET ************
 
-            python systems/evaluate.py -t Turku --gld_token_type CoNLLUP_Token --corpus_name DE_GSD\
+            python systems/evaluate.py -t Turku --corpus_name DE_GSD \
             --sys_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu.parsed.0.conllu \
             --gld_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu    
             
-            python systems/evaluate.py -t SpaCyGL --gld_token_type CoNLLUP_Token --corpus_name DE_GSD\
+            python systems/evaluate.py -t SpaCyGL --corpus_name DE_GSD \
                 --sys_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.parsed.germalemma.conllu \
                 --gld_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu    
             
-            python systems/evaluate.py -t SpaCy --gld_token_type CoNLLUP_Token --corpus_name DE_GSD\
+            python systems/evaluate.py -t SpaCy --corpus_name DE_GSD \
                 --sys_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.parsed.conllu \
                 --gld_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu 
                 
-            python systems/evaluate.py -t RNNTagger --gld_token_type CoNLLUP_Token --corpus_name DE_GSD\
+            python systems/evaluate.py -t RNNTagger --corpus_name DE_GSD \
                 --sys_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.RNNtagger.parsed.conll \
                 --gld_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu
             
-            python systems/evaluate.py -t TreeTagger --gld_token_type CoNLLUP_Token --corpus_name DE_GSD\
+            python systems/evaluate.py -t TreeTagger --corpus_name DE_GSD \
                 --sys_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.treetagger.parsed.conll \
                 --gld_file /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu
                 
@@ -133,9 +149,9 @@
     parser = argparse.ArgumentParser()
     parser.add_argument("-s", "--sys_file", help="System output in CoNLL-U Format", required=True)
     parser.add_argument("-g", "--gld_file", help="Gold Labels to evaluate in CoNLL-U Format", required=True)
-    parser.add_argument("-t", "--type_sys", help="Which system produced the outputs", default="system")
     parser.add_argument("-c", "--corpus_name", help="Corpus Name for Gold Labels", required=True)
-    parser.add_argument("-gtt", "--gld_token_type", help="CoNLL Format of the Gold Data", default="CoNLL09_Token")
+    parser.add_argument("-t", "--type_sys", help="Which system produced the outputs", default="system")
+    parser.add_argument("-gtt", "--gld_token_type", help="CoNLL Format of the Gold Data", default="CoNLLUP_Token")
     parser.add_argument("-cs", "--comment_str", help="CoNLL Format of comentaries inside the file", default="#")
     args = parser.parse_args()
     
diff --git a/systems/parse_spacy.py b/systems/parse_spacy.py
index 1a32b67..3c56233 100644
--- a/systems/parse_spacy.py
+++ b/systems/parse_spacy.py
@@ -51,26 +51,34 @@
 	"""
 		EXAMPLE:
 		--- TIGER Classic Orthography ---
-			python systems/parse_spacy.py --corpus_name Tiger \
+			python systems/parse_spacy.py --corpus_name Tiger --gld_token_type CoNLL09_Token \
 				-i /home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09 \
 				-o /home/daza/datasets/TIGER_conll/tiger_spacy_parsed.conllu \
 				-t /home/daza/datasets/TIGER_conll/tiger_all.txt
+			
+			python systems/parse_spacy.py --corpus_name TigerOld_test \
+			-i /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.OldOrth.test.conll \
+			-o /home/daza/datasets/TIGER_conll/tiger_spacy_parsed.test.conllu
 		
 		--- TIGER New Orthography ---
-			python systems/parse_spacy.py --corpus_name TigerNew --gld_token_type CoNLLUP_Token \
+			python systems/parse_spacy.py --corpus_name TigerNew \
 				-i /home/daza/datasets/TIGER_conll/Tiger.NewOrth.train.conll \
 				-o /home/daza/datasets/TIGER_conll/Tiger.NewOrth.train.spacy_parsed.conllu \
 				-t /home/daza/datasets/TIGER_conll/Tiger.NewOrth.train.txt
+			
+			python systems/parse_spacy.py --corpus_name TigerNew_test \
+			-i /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll \
+			-o /home/daza/datasets/TIGER_conll/Tiger.NewOrth.test.spacy_parsed.conllu
 		
 		--- German GSD Universal Deps ---
-			python systems/parse_spacy.py --corpus_name DE_GSD --gld_token_type CoNLLUP_Token \
+			python systems/parse_spacy.py --corpus_name DE_GSD \
 				-i /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu \
 				-o /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.parsed.germalemma.conllu \
 				-t /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.txt
 				
 			
 		--- Real Data TEST  ---
-		time python systems/parse_spacy.py --corpus_name DeReKo_a00 --gld_token_type CoNLLUP_Token --comment_str "#" \
+		time python systems/parse_spacy.py --corpus_name DeReKo_a00 --comment_str "#" \
 			-i /export/netapp/kupietz/N-GRAMM-STUDIE/conllu/a00.conllu.gz \
 			-o /export/netapp/kupietz/N-GRAMM-STUDIE/conllu/0_SpaCyParsed/a00.spacy.gl.conllu
 			
@@ -81,15 +89,16 @@
 	parser.add_argument("-n", "--corpus_name", help="Corpus Name", default="Corpus")
 	parser.add_argument("-o", "--output_file", help="File where the Predictions will be saved", required=True)
 	parser.add_argument("-t", "--text_file", help="Output Plain Text File", default=None)
-	parser.add_argument("-gtt", "--gld_token_type", help="CoNLL Format of the Gold Data", default="CoNLL09_Token")
+	parser.add_argument("-sm", "--spacy_model", help="Spacy model containing the pipeline to tag", default="de_core_news_lg")
+	parser.add_argument("-gtt", "--gld_token_type", help="CoNLL Format of the Gold Data", default="CoNLLUP_Token")
 	parser.add_argument("-ugl", "--use_germalemma", help="Use Germalemma lemmatizer on top of SpaCy", default="True")
 	parser.add_argument("-c", "--comment_str", help="CoNLL Format of comentaries inside the file", default="#")
 	args = parser.parse_args()
 	
 	file_has_next, chunk_ix = True, 0
-	CHUNK_SIZE = 100000
-	SPACY_BATCH = 10000
-	SPACY_PROC = 50
+	CHUNK_SIZE = 20000
+	SPACY_BATCH = 2000
+	SPACY_PROC = 10
 	
 	# =====================================================================================
 	#                    LOGGING INFO ...
@@ -103,7 +112,7 @@
 	# =====================================================================================
 	#                    POS TAG DOCUMENTS
 	# =====================================================================================
-	spacy_de = spacy.load("de_core_news_lg", disable=["ner", "parser"])
+	spacy_de = spacy.load(args.spacy_model, disable=["ner", "parser"])
 	spacy_de.tokenizer = WhitespaceTokenizer(spacy_de.vocab) # We won't re-tokenize to respect how the source CoNLL are tokenized!
 	write_out = open(args.output_file, "w")
 	lemmatizer = GermaLemma()
diff --git a/systems/parse_spacy3.py b/systems/parse_spacy3.py
new file mode 100644
index 0000000..14e5a9f
--- /dev/null
+++ b/systems/parse_spacy3.py
@@ -0,0 +1,123 @@
+import argparse, os
+import spacy
+from spacy.language import Language
+from spacy.tokens import Doc
+import logging, sys, time
+from lib.CoNLL_Annotation import get_token_type
+import my_utils.file_utils as fu
+from germalemma import GermaLemma
+
+
+@Language.factory("my_component")
+class WhitespaceTokenizer(object):
+	def __init__(self, nlp, name):
+		self.vocab = nlp.vocab
+
+	def __call__(self, text):
+		words = text.split(' ')
+		# All tokens 'own' a subsequent space character in this tokenizer
+		spaces = [True] * len(words)
+		return Doc(self.vocab, words=words, spaces=spaces)
+
+
+def get_conll_str(anno_obj, spacy_doc, use_germalemma):
+	#  First lines are comments. (metadata)
+	conll_lines = anno_obj.metadata # Then we want: [ID, FORM, LEMMA, UPOS, XPOS, FEATS, HEAD, DEPREL, DEPS, MISC]
+	for ix, token in enumerate(spacy_doc):
+		if use_germalemma == "True":
+			content = (str(ix), token.text, find_germalemma(token.text, token.tag_, token.lemma_), token.pos_, token.tag_, "_", "_", "_", "_", "_")
+		else:
+			content = (str(ix), token.text, token.lemma_, token.pos_, token.tag_, "_", "_", "_", "_", "_") # Pure SpaCy!
+		conll_lines.append("\t".join(content))
+	return "\n".join(conll_lines)
+
+
+# def freeling_lemma_lookup():
+# 	dicts_path = "/home/daza/Frameworks/FreeLing/data/de/dictionary/entries/"
+	
+def find_germalemma(word, pos, spacy_lemma):
+	simplify_pos = {"ADJA":"ADJ", "ADJD":"ADJ",
+					"NA":"N", "NE":"N", "NN":"N",
+					"ADV":"ADV", "PAV":"ADV", "PROAV":"ADV", "PAVREL":"ADV", "PWAV":"ADV", "PWAVREL":"ADV",
+					"VAFIN":"V", "VAIMP":"V", "VAINF":"V", "VAPP":"V", "VMFIN":"V", "VMINF":"V",
+					"VMPP":"V", "VVFIN":"V", "VVIMP":"V", "VVINF":"V", "VVIZU":"V","VVPP":"V"
+				}
+	# simplify_pos = {"VERB": "V", "ADV": "ADV", "ADJ": "ADJ", "NOUN":"N", "PROPN": "N"}
+	try:
+		return lemmatizer.find_lemma(word, simplify_pos.get(pos, "UNK"))
+	except:
+		return spacy_lemma
+
+
+if __name__ == "__main__":
+	"""
+		EXAMPLE:
+		--- TIGER Classic Orthography ---
+			python systems/parse_spacy3.py --corpus_name TigerTestNew \
+				-i /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.NewOrth.test.conll \
+				-o /home/daza/datasets/TIGER_conll/tiger_spacy3_parsed.conllu
+	"""
+	
+	parser = argparse.ArgumentParser()
+	parser.add_argument("-i", "--input_file", help="Input Corpus", required=True)
+	parser.add_argument("-n", "--corpus_name", help="Corpus Name", default="Corpus")
+	parser.add_argument("-o", "--output_file", help="File where the Predictions will be saved", required=True)
+	parser.add_argument("-sm", "--spacy_model", help="Spacy model containing the pipeline to tag", default="de_core_news_sm")
+	parser.add_argument("-gtt", "--gld_token_type", help="CoNLL Format of the Gold Data", default="CoNLLUP_Token")
+	parser.add_argument("-ugl", "--use_germalemma", help="Use Germalemma lemmatizer on top of SpaCy", default="True")
+	parser.add_argument("-c", "--comment_str", help="CoNLL Format of comentaries inside the file", default="#")
+	args = parser.parse_args()
+	
+	file_has_next, chunk_ix = True, 0
+	CHUNK_SIZE = 1000
+	SPACY_BATCH = 100
+	SPACY_PROC = 4
+	
+	# =====================================================================================
+	#                    LOGGING INFO ...
+	# =====================================================================================
+	logger = logging.getLogger(__name__)
+	console_hdlr = logging.StreamHandler(sys.stdout)
+	file_hdlr = logging.FileHandler(filename=f"logs/Parse_{args.corpus_name}.SpaCy.log")
+	logging.basicConfig(level=logging.INFO, handlers=[console_hdlr, file_hdlr])
+	logger.info(f"Chunking {args.corpus_name} Corpus in chunks of {CHUNK_SIZE} Sentences")
+	
+	# =====================================================================================
+	#                    POS TAG DOCUMENTS
+	# =====================================================================================
+	
+	if os.path.exists(args.spacy_model):
+		pass # Load Custom Trained model
+	else:
+		# try:
+		spacy_de = spacy.load(args.spacy_model, disable=["ner", "parser"])
+		spacy_de.tokenizer = WhitespaceTokenizer(spacy_de, "keep_original_tokens") # We won't re-tokenize to respect how the source CoNLL are tokenized!
+		# except:
+		# 	print(f"Check if model {args.spacy_model} is a valid SpaCy Pipeline or if the Path containing the trained model exists!")
+		# 	exit()
+	
+	write_out = open(args.output_file, "w")
+	lemmatizer = GermaLemma()
+	
+	if ".gz" == args.input_file[-3:]:
+		in_file = fu.expand_file(args.input_file)
+	else:
+		in_file = args.input_file
+	
+	start = time.time()
+	total_processed_sents = 0
+	line_generator = fu.file_generator(in_file)
+	while file_has_next:
+		annos, file_has_next = fu.get_file_annos_chunk(line_generator, chunk_size=CHUNK_SIZE, 		token_class=get_token_type(args.gld_token_type), comment_str=args.comment_str)
+		if len(annos) == 0: break
+		total_processed_sents += len(annos)
+		logger.info(f"Already processed {total_processed_sents} sentences...")
+		sents = [a.get_sentence() for a in annos]
+		for ix, doc in enumerate(spacy_de.pipe(sents, batch_size=SPACY_BATCH, n_process=SPACY_PROC)):
+			conll_str = get_conll_str(annos[ix], doc, use_germalemma=args.use_germalemma)
+			write_out.write(conll_str)
+			write_out.write("\n\n")
+			
+	end = time.time()
+	logger.info(f"Processing {args.corpus_name} took {(end - start)} seconds!")
+			
\ No newline at end of file
diff --git a/systems/parse_turku.py b/systems/parse_turku.py
index 7694504..284dbd4 100644
--- a/systems/parse_turku.py
+++ b/systems/parse_turku.py
@@ -6,11 +6,6 @@
 import my_utils.file_utils as fu
 import argparse
 
-
-TIGER_CORPUS = "/home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09"
-DE_GSD_CORPUS = "/home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu"
-
-
 if __name__ == "__main__":
     
     """
@@ -18,6 +13,9 @@
         
         python systems/parse_turku.py --corpus_name DE_GSD --gld_token_type CoNLLUP_Token \
             -i /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu
+        
+        python systems/parse_turku.py --corpus_name TigerTestOld --gld_token_type CoNLLUP_Token \
+        -i /home/daza/datasets/TIGER_conll/data_splits/test/Tiger.OldOrth.test.conll
             
     """