diff --git a/website/docs/api/entityrecognizer.md b/website/docs/api/entityrecognizer.md
index 2f7a88fbf..14b6fece4 100644
--- a/website/docs/api/entityrecognizer.md
+++ b/website/docs/api/entityrecognizer.md
@@ -65,7 +65,7 @@ architectures and their arguments and hyperparameters.
 | `moves`                       | A list of transition names. Inferred from the data if not provided. Defaults to `None`. ~~Optional[List[str]]~~                                                                                                                                     |
 | `update_with_oracle_cut_size` | During training, cut long sequences into shorter segments by creating intermediate states based on the gold-standard history. The model is not very sensitive to this parameter, so you usually won't need to change it. Defaults to `100`. ~~int~~ |
 | `model`                       | The [`Model`](https://thinc.ai/docs/api-model) powering the pipeline component. Defaults to [TransitionBasedParser](/api/architectures#TransitionBasedParser). ~~Model[List[Doc], List[Floats2d]]~~                                                 |
-| `incorrect_spans_key`         | This key refers to a `SpanGroup` in `doc.spans` that specifies incorrect spans. The NER wiill learn not to predict (exactly) those spans. Defaults to `None`. ~~Optional[str]~~                                                                     |
+| `incorrect_spans_key`         | This key refers to a `SpanGroup` in `doc.spans` that specifies incorrect spans. The NER will learn not to predict (exactly) those spans. Defaults to `None`. ~~Optional[str]~~                                                                      |
 | `scorer`                      | The scoring method. Defaults to [`spacy.scorer.get_ner_prf`](/api/scorer#get_ner_prf). ~~Optional[Callable]~~                                                                                                                                       |
 
 ```python
diff --git a/website/docs/api/tagger.md b/website/docs/api/tagger.md
index 93b6bc88b..b51864d3a 100644
--- a/website/docs/api/tagger.md
+++ b/website/docs/api/tagger.md
@@ -40,11 +40,12 @@ architectures and their arguments and hyperparameters.
 > nlp.add_pipe("tagger", config=config)
 > ```
 
-| Setting                                  | Description                                                                                                                                                                                                                                                                                            |
-| ---------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| `model`                                  | A model instance that predicts the tag probabilities. The output vectors should match the number of tags in size, and be normalized as probabilities (all scores between 0 and 1, with the rows summing to `1`). Defaults to [Tagger](/api/architectures#Tagger). ~~Model[List[Doc], List[Floats2d]]~~ |
-| `overwrite` <Tag variant="new">3.2</Tag> | Whether existing annotation is overwritten. Defaults to `False`. ~~bool~~                                                                                                                                                                                                                              |
-| `scorer` <Tag variant="new">3.2</Tag>    | The scoring method. Defaults to [`Scorer.score_token_attr`](/api/scorer#score_token_attr) for the attribute `"tag"`. ~~Optional[Callable]~~                                                                                                                                                            |
+| Setting                                     | Description                                                                                                                                                                                                                                                                                            |
+| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| `model`                                     | A model instance that predicts the tag probabilities. The output vectors should match the number of tags in size, and be normalized as probabilities (all scores between 0 and 1, with the rows summing to `1`). Defaults to [Tagger](/api/architectures#Tagger). ~~Model[List[Doc], List[Floats2d]]~~ |
+| `overwrite` <Tag variant="new">3.2</Tag>    | Whether existing annotation is overwritten. Defaults to `False`. ~~bool~~                                                                                                                                                                                                                              |
+| `scorer` <Tag variant="new">3.2</Tag>       | The scoring method. Defaults to [`Scorer.score_token_attr`](/api/scorer#score_token_attr) for the attribute `"tag"`. ~~Optional[Callable]~~                                                                                                                                                            |
+| `neg_prefix` <Tag variant="new">3.2.1</Tag> | The prefix used to specify incorrect tags while training. The tagger will learn not to predict exactly this tag. Defaults to `!`. ~~str~~                                                                                                                                                              |
 
 ```python
 %%GITHUB_SPACY/spacy/pipeline/tagger.pyx