add from_dict in noembeddingphrase

anansyTypes/structures/phrase.py

@@ -12,6 +12,13 @@ class NoEmbeddingPhrase(Lexeme):
         #initialised with empty embedding
         super().__init__(id=id, content=content, embedding=Embedding(data=torch.tensor([])), original_content=original_content)
 
+    @classmethod
+    def from_dict(cls, data: dict) -> "NoEmbeddingPhrase":
+        return cls(
+            id=data["id"],
+            content=data["content"],
+            original_content=data["original_content"],
+        )
 
 class Phrase(Lexeme):
 
@@ -20,6 +27,7 @@ class Phrase(Lexeme):
         return cls(
             id=data["id"],
             content=data["content"],
+            original_content=data["original_content"],
             embedding=Embedding.from_dict(data["embedding"]),
         )
 
@@ -30,5 +38,6 @@ class Phrase(Lexeme):
         return cls(
             id=phrase.id,
             content=phrase.content,
+            original_content=phrase.original_content,
             embedding=embedding,
         )