Fix incorrect docstrings

spacy/pipeline/morphologizer.pyx

@@ -103,7 +103,7 @@ class Morphologizer(Tagger):
 
     @property
     def label_data(self) -> Dict[str, Dict[str, Union[str, float, int, None]]]:
-        """RETURNS (Dict): A dictionary with all labels data."""
+        """A dictionary with all labels data."""
         return {"morph": self.cfg["labels_morph"], "pos": self.cfg["labels_pos"]}
 
     def add_label(self, label):

spacy/pipeline/tagger.pyx

@@ -92,12 +92,7 @@ class Tagger(Pipe):
 
     @property
     def label_data(self):
-        """Data about the labels currently added to the component.
-
-        RETURNS (Dict): The labels data.
-
-        DOCS: https://nightly.spacy.io/api/tagger#labels
-        """
+        """Data about the labels currently added to the component."""
         return tuple(self.cfg["labels"])
 
     def __call__(self, doc):

spacy/pipeline/textcat.py

@@ -161,10 +161,7 @@ class TextCategorizer(Pipe):
 
     @property
     def label_data(self) -> List[str]:
-        """RETURNS (List[str]): Information about the component's labels.
-
-        DOCS: https://nightly.spacy.io/api/textcategorizer#labels
-        """
+        """RETURNS (List[str]): Information about the component's labels."""
         return self.labels
 
     def pipe(self, stream: Iterable[Doc], *, batch_size: int = 128) -> Iterator[Doc]:

spacy/pipeline/transition_parser.pyx

@@ -7,6 +7,7 @@ from libcpp.vector cimport vector
 from libc.string cimport memset
 from libc.stdlib cimport calloc, free
 import random
+from typing import Optional
 
 import srsly
 from thinc.api import set_dropout_rate
@@ -409,7 +410,7 @@ cdef class Parser(Pipe):
     def set_output(self, nO):
         self.model.attrs["resize_output"](self.model, nO)
 
-    def initialize(self, get_examples, *, nlp=None, labels=None):
+    def initialize(self, get_examples, nlp=None, labels=None):
         self._ensure_examples(get_examples)
         lexeme_norms = self.vocab.lookups.get_table("lexeme_norm", {})
         if len(lexeme_norms) == 0 and self.vocab.lang in util.LEXEME_NORM_LANGS: