USE NFKD uc normalization for Dict metrics

src/digital_eval/cli.py

@@ -31,7 +31,7 @@
     OCRDifferenceMetric,
     accuracy_for_bow,
     error_for_bow,
-    MetricDictionaryLangTool, MetricDictionary,
+    MetricDictionaryLangTool, MetricDictionary, UC_NORMALIZATION_NFKD,
 )
 
 # script constants
@@ -106,6 +106,8 @@ def _initialize_metrics(
             calc_func = CALC_DICT[calc]
             if m == 'BoWs' or m == 'BagOfWords':
                 calc_func = CALC_DICT_BOW[calc]
+            if 'Dict' in m:
+                norm = UC_NORMALIZATION_NFKD
             metric_inst: OCRDifferenceMetric = clazz(normalization=norm, calc_func=calc_func)
             metric_objects.append(metric_inst)
         return metric_objects
@@ -221,7 +223,7 @@ def start():
                         required=False,
                         help=f"UTF-8 Unicode Python Normalization (optional; default: '{DEFAULT_UTF8_NORM}'; available: 'NFC','NFKC','NFD','NFKD')",
                         )
-    PARSER.add_argument("-s","--sequential",
+    PARSER.add_argument("-s", "--sequential",
                         action='store_true',
                         required=False,
                         help="Execute calculations sequentially (optional; default: 'False')",