Change open file to clarin json

requirements.txt

 --index-url https://pypi.clarin-pl.eu/simple/
+clarin-json
 nlp-ws
 regex==2020.10.28
 Babel==2.8.0

src/input_parsers/wiktor_ner.py

@@ -73,43 +73,33 @@ class WiktorNERInputParser(InputParser):
             Tuple[str, List[Tuple[int, int, Annotation]]]: Text and annotations.
 
         """
-        content_parsed = json.loads(content)
 
-        if "text" in content_parsed:
-            text = content_parsed["text"]
+        if content.text:
+            text = content.text
         else:
             text = ""
 
         annotations = []
-
         # Morphosyntactic annotations
-        if "tokens" in content_parsed:
-            for token in content_parsed["tokens"]:
-                if "position" in token:
-                    token_start, token_end = token["position"]
-                    if "lexemes" in token:
-                        for lexeme in token["lexemes"]:
-                            if "disamb" in lexeme and lexeme["disamb"] is True:
-                                if "mstag" in lexeme:
-                                    lemma = lexeme.get("lemma", None)
+        if content.tokens:
+            for token in content.tokens():
+                if token.start and token.stop:
+                    if token.lexemes:
+                        for lexeme in token.lexemes:
+                            if lexeme.disamb and lexeme.disamb is True:
+                                if lexeme.pos:
+                                    if lexeme.lemma:
+                                        lemma = lexeme.lemma
+                                    else:
+                                        lemma = None
                                     annotations.append(
                                         (
-                                            token_start,
-                                            token_end,
+                                            token.start,
+                                            token.stop,
                                             MorphosyntacticAnnotation(
-                                                lexeme["mstag"], lemma
+                                                lexeme.pos, lemma
                                             ),
                                         )
                                     )
 
-        # NER annotations
-        if "entities" in content_parsed:
-            for entity in content_parsed["entities"]:
-                if "positions" in entity:
-                    entity_start, entity_end = entity["positions"]
-                    if "type" in entity:
-                        annotations.append(
-                            (entity_start, entity_end, NerAnnotation(entity["type"]))
-                        )
-
         return text, annotations