diff --git a/fast-aligner/Makefile b/fast-aligner/Makefile
index 8d7ed2a..4f2e9e1 100644
--- a/fast-aligner/Makefile
+++ b/fast-aligner/Makefile
@@ -1,6 +1,6 @@
 SRC_LANG=pl
 TRG_LANG=en
-CORPUS_NAME=opensubtitles
+CORPUS_NAME=opensubtitles_sample
 SEPARATOR=@\#@
 
 DICTIONARY_WEIGHT=3
@@ -9,6 +9,7 @@ all: corpora/$(CORPUS_NAME)/alignments.txt corpora/$(CORPUS_NAME)/src_clean.txt
 
 
 clean:
+	rm -f corpora/$(CORPUS_NAME)/*.norm
 	rm -f corpora/$(CORPUS_NAME)/*.lem
 	rm -f corpora/$(CORPUS_NAME)/*.dict
 	rm -f corpora/$(CORPUS_NAME)/src_clean.txt
diff --git a/fast-aligner/sentence_lemmatizer.py b/fast-aligner/sentence_lemmatizer.py
index 2e506a8..33abd1d 100755
--- a/fast-aligner/sentence_lemmatizer.py
+++ b/fast-aligner/sentence_lemmatizer.py
@@ -17,7 +17,6 @@ def lemmatize_sentences(language_code, sentences):
     response_json = json.loads(response.text)
 
     result = {'normalized':[], 'lemmatized':[]}
-    print(response_json)
     for processed_sentence in response_json['processed_sentences']:
         result['normalized'].append(processed_sentence['normalized'])
         result['lemmatized'].append(processed_sentence['tokens'])
@@ -33,7 +32,7 @@ def write_result(result, norm_file, lem_file):
 file_name = sys.argv[1]
 language_code = sys.argv[2]
 norm_output_name = sys.argv[3]
-lem_output_name = sys.argv[3]
+lem_output_name = sys.argv[4]
 
 sentences_buffer = []
 with open(file_name) as in_file, open(norm_output_name, 'w') as out_norm, open(lem_output_name, 'w') as out_lem: