diff --git a/iobber/iobber_txt.py b/iobber/iobber_txt.py
index 19346d80be3718e12f410bb4d19950969b99d169..bfb4f4ea5bb50a84329a1eb358c9b2026bfb113d 100755
--- a/iobber/iobber_txt.py
+++ b/iobber/iobber_txt.py
@@ -64,17 +64,20 @@ def go():
 	parser.add_option('-O', '--output-file', type='string', action='store',
 		dest='out_path', default='',
 		help='set output filename (do not write to stdout)')
+	parser.add_option('--no-chunk', action='store_false',
+		dest='shall_chunk', default=True,
+		help='don\'t run the chunker, only the tagger')
 	parser.add_option('-c', '--chunker-config', type='string', action='store',
 		dest='chunker_config', default='kpwr.ini',
 		help='use given chunker config (default: kpwr.ini)')
 	parser.add_option('-C', '--chunker-model', type='string', action='store',
-		dest='chunker_dir', default='',
+		dest='chunker_dir', default='model-kpwr04',
 		help='read chunker trained model from the given dir')
 	parser.add_option('-w', '--tagger-config', type='string', action='store',
 		dest='tagger_config', default='nkjp.ini',
 		help='use given tagger (wcrft) config (default: nkjp.ini)')
 	parser.add_option('-W', '--tagger-model', type='string', action='store',
-		dest='tagger_dir', default='',
+		dest='tagger_dir', default='model_nkjp10_wcrft',
 		help='read tagger (wcrft) trained model from the given dir')
 	parser.add_option('-m', '--maca-config', type='string', action='store',
 		dest='maca_config', default='',
@@ -88,13 +91,13 @@ def go():
 	
 	files = args
 	
-	chunkr = chunker.Chunker(options.chunker_config, options.chunker_dir)
 	tagr = tagger.Tagger(options.tagger_config, options.tagger_dir)
+	if options.shall_chunk:
+		chunkr = chunker.Chunker(options.chunker_config, options.chunker_dir)
 	
 	if options.maca_config != '':
 		tagr.maca_config = options.maca_config
 	
-	# TODO option not to use chunker
 	# tag and chunk
 	inputs = []
 	outputs = []
@@ -114,11 +117,12 @@ def go():
 		outputs = [path + '.tag' for path in inputs]
 	if inputs:
 		tagr.load_model()
-		chunkr.load_model()
-		assert (tagr.tagset.name()
-				== chunkr.tagset.name()), ('Tagger and chunker config must'
-						+ 'operate on the same tagset: %s v. %s' % (tagr.tagset.name(),
-							chunkr.tagset.name()))
+		if options.shall_chunk:
+			chunkr.load_model()
+			assert (tagr.tagset.name()
+					== chunkr.tagset.name()), ('Tagger and chunker config must'
+							+ 'operate on the same tagset: %s v. %s' % (tagr.tagset.name(),
+								chunkr.tagset.name()))
 		for in_path, out_path in zip(inputs, outputs):
 			if in_path and options.verbose:
 				sys.stderr.write('Processing %s...\n' % in_path)
@@ -142,7 +146,8 @@ def go():
 					new_sent = corpus2.AnnotatedSentence.cast_as_sentence(new_asent)
 					# preserve_ambiguity = False
 					tagr.disambiguate_sentence(new_sent)
-					chunkr.tag_sentence(new_sent)
+					if options.shall_chunk:
+						chunkr.tag_sentence(new_sent)
 					# create a new paragraph with the new sentence
 					new_par.append(new_sent)
 				# save tagged paragraph