diff --git a/systems/eval_old_vs_new_tiger.py b/systems/eval_old_vs_new_tiger.py
new file mode 100644
index 0000000..38dc597
--- /dev/null
+++ b/systems/eval_old_vs_new_tiger.py
@@ -0,0 +1,35 @@
+import my_utils.file_utils as fu
+from lib.CoNLL_Annotation import read_conll, CoNLLUP_Token 
+from collections import Counter
+from germalemma import GermaLemma
+
+SPACY_NEW = "/home/daza/datasets/TIGER_conll/Tiger.NewOrth.train.spacy_parsed.conllu"
+CASES = "/home/daza/datasets/TIGER_conll/NewOrthProblems_Indices.train.txt"
+
+orth_dict = fu.file_to_dict("/vol/netapp/daza/datasets/TIGER_conll/TigerOrthMapping.train.json")
+new_to_old = {v:k for k,v in orth_dict.items()}
+
+
+if __name__ == "__main__":
+	line_generator = fu.file_generator(SPACY_NEW)
+	conll_sents, _ = read_conll(line_generator, chunk_size=60000, token_class=CoNLLUP_Token, comment_str="#")
+	special_cases = [int(line) for line in open(CASES).read().splitlines()]
+	checked_cases = []
+	
+	lemmatizer = GermaLemma()
+	
+	for ix, sent in enumerate(conll_sents):
+		if ix in special_cases:
+			for tok in sent.tokens:
+				old_word_change = new_to_old.get(tok.word)
+				if old_word_change:
+					try:
+						old_lemma = lemmatizer.find_lemma(old_word_change, tok.pos_tag)
+					except:
+						old_lemma = f"UNK_{tok.pos_tag}"
+					checked_cases.append((old_word_change, tok.word, old_lemma, tok.lemma))
+	
+	print(f"Cases checked: {len(checked_cases)}")
+	case_count = Counter(checked_cases).most_common()
+	fu.counter_to_file(case_count, "/home/daza/datasets/TIGER_conll/TigerLemmas_Old_New.tsv")
+	
\ No newline at end of file
diff --git a/systems/parse_spacy.py b/systems/parse_spacy.py
index 75a1eb5..1a32b67 100644
--- a/systems/parse_spacy.py
+++ b/systems/parse_spacy.py
@@ -18,8 +18,9 @@
 		return Doc(self.vocab, words=words, spaces=spaces)
 
 
-def get_conll_str(spacy_doc, use_germalemma):
-	conll_lines = [] # We want: [ID, FORM, LEMMA, UPOS, XPOS, FEATS, HEAD, DEPREL, DEPS, MISC]
+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_, "_", "_", "_", "_", "_")
@@ -49,15 +50,30 @@
 if __name__ == "__main__":
 	"""
 		EXAMPLE:
+		--- TIGER Classic Orthography ---
 			python systems/parse_spacy.py --corpus_name Tiger \
 				-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
-			
+		
+		--- TIGER New Orthography ---
+			python systems/parse_spacy.py --corpus_name TigerNew --gld_token_type CoNLLUP_Token \
+				-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
+		
+		--- German GSD Universal Deps ---
 			python systems/parse_spacy.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 \
 				-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
+				-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 "#" \
+			-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
+			
 	"""
 	
 	parser = argparse.ArgumentParser()
@@ -71,7 +87,9 @@
 	args = parser.parse_args()
 	
 	file_has_next, chunk_ix = True, 0
-	CHUNK_SIZE = 10000
+	CHUNK_SIZE = 100000
+	SPACY_BATCH = 10000
+	SPACY_PROC = 50
 	
 	# =====================================================================================
 	#                    LOGGING INFO ...
@@ -91,16 +109,22 @@
 	lemmatizer = GermaLemma()
 	if args.text_file: write_plain = open(args.text_file, "w")
 	
+	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(args.input_file)
+	line_generator = fu.file_generator(in_file)
 	while file_has_next:
-		sents, gld, file_has_next = fu.get_file_text_chunk(line_generator, chunk_size=CHUNK_SIZE, token_class=get_token_type(args.gld_token_type), comment_str=args.comment_str)
-		if len(sents) == 0: break
-		total_processed_sents += len(sents)
+		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...")
-		for doc in spacy_de.pipe(sents, batch_size=1000, n_process=10):
-			conll_str = get_conll_str(doc, use_germalemma=args.use_germalemma)
+		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")
 			if args.text_file: