diff --git a/website/docs/api/phrasematcher.md b/website/docs/api/phrasematcher.md
index 4119c8fc0..a72277420 100644
--- a/website/docs/api/phrasematcher.md
+++ b/website/docs/api/phrasematcher.md
@@ -38,7 +38,7 @@ be shown.
 | Name                                    | Type            | Description                                                                                 |
 | --------------------------------------- | --------------- | ------------------------------------------------------------------------------------------- |
 | `vocab`                                 | `Vocab`         | The vocabulary object, which must be shared with the documents the matcher will operate on. |
-| `max_length`                            | int             | Deprecated argument -  the `PhraseMatcher` does not have a phrase length limit anymore.     |
+| `max_length`                            | int             | Deprecated argument - the `PhraseMatcher` does not have a phrase length limit anymore.      |
 | `attr` <Tag variant="new">2.1</Tag>     | int / unicode   | The token attribute to match on. Defaults to `ORTH`, i.e. the verbatim token text.          |
 | `validate` <Tag variant="new">2.1</Tag> | bool            | Validate patterns added to the matcher.                                                     |
 | **RETURNS**                             | `PhraseMatcher` | The newly constructed object.                                                               |
@@ -72,15 +72,16 @@ Find all token sequences matching the supplied patterns on the `Doc`.
 
 <Infobox title="Note on retrieving the string representation of the match_id" variant="warning">
 
-Because spaCy stores all strings as integers, the match_id you get back will be an integer, too – but you can always get the string representation by looking it up in the vocabulary's StringStore, i.e. nlp.vocab.strings:
+Because spaCy stores all strings as integers, the `match_id` you get back will
+be an integer, too – but you can always get the string representation by looking
+it up in the vocabulary's `StringStore`, i.e. `nlp.vocab.strings`:
 
-```
+```python
 match_id_string = nlp.vocab.strings[match_id]
 ```
 
 </Infobox>
 
-
 ## PhraseMatcher.pipe {#pipe tag="method"}
 
 Match a stream of documents, yielding them in turn.