diff --git a/spacy/lang/ru/lemmatizer.py b/spacy/lang/ru/lemmatizer.py
index 1e41220f358..340bd911b32 100644
--- a/spacy/lang/ru/lemmatizer.py
+++ b/spacy/lang/ru/lemmatizer.py
@@ -1,3 +1,4 @@
+import re
 from typing import Callable, Dict, List, Optional, Tuple
 
 from thinc.api import Model
@@ -7,6 +8,7 @@
 from ...symbols import POS
 from ...tokens import Token
 from ...vocab import Vocab
+from ..char_classes import COMBINING_DIACRITICS
 
 PUNCT_RULES = {"«": '"', "»": '"'}
 
@@ -51,9 +53,10 @@ def __init__(
         super().__init__(
             vocab, model, name, mode=mode, overwrite=overwrite, scorer=scorer
         )
+        self._diacritics_re = re.compile(f"[{COMBINING_DIACRITICS}]")
 
     def _pymorphy_lemmatize(self, token: Token) -> List[str]:
-        string = token.text
+        string = self._diacritics_re.sub("", token.text)
         univ_pos = token.pos_
         morphology = token.morph.to_dict()
         if univ_pos == "PUNCT":
diff --git a/spacy/tests/lang/ru/test_lemmatizer.py b/spacy/tests/lang/ru/test_lemmatizer.py
index 66aa7e3a6b4..77e0ac86e12 100644
--- a/spacy/tests/lang/ru/test_lemmatizer.py
+++ b/spacy/tests/lang/ru/test_lemmatizer.py
@@ -65,6 +65,8 @@ def test_ru_lemmatizer_works_with_different_pos_homonyms(
         ("гвоздики", "Gender=Masc", "гвоздик"),
         ("вина", "Gender=Fem", "вина"),
         ("вина", "Gender=Neut", "вино"),
+        ("жену", "Gender=Fem", "жена"),
+        ("жену́", "Gender=Fem", "жена"),
     ],
 )
 def test_ru_lemmatizer_works_with_noun_homonyms(ru_lemmatizer, text, morph, lemma):