Grammatical and some spelling errors ##10954

Co-authored-by: IanFPFerreira <ianfillipe@gmail.com> Co-Authored-by: vitordiniz25 <vitordiniz25@gmail.com>
RasaHQ · Dec 11, 2022 · 85c9eb8 · 85c9eb8
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diff --git a/docs/docs/action-server/events.mdx b/docs/docs/action-server/events.mdx
@@ -333,7 +333,7 @@ Logs an action called by the bot. Only the action itself is logged; the events t
 
 **Automatic Tracking**: 
 
-* Any action (including custom actions and responses) that is called, even if the action does not execute succesfully.
+* Any action (including custom actions and responses) that is called, even if the action does not execute successfully.
 
 This event is not usually returned explicitly by a custom action. 
 

diff --git a/docs/docs/action-server/validation-action.mdx b/docs/docs/action-server/validation-action.mdx
@@ -234,7 +234,7 @@ The method `required_slots` will return the `domain_slots` which is a list of al
 ##### FormValidationAction.next_requested_slot
 
 The method `next_requested_slot` will set the value of `REQUESTED_SLOT` to the next unset slot only if the
-`required_slots` method was overriden by the custom action subclassing `FormValidationAction`.
+`required_slots` method was overridden by the custom action subclassing `FormValidationAction`.
 
 If users didn't override `required_slots` then we'll let the `FormAction` within Rasa Open
 Source request the next slot, and the method will return `None`.

diff --git a/docs/docs/command-line-interface.mdx b/docs/docs/command-line-interface.mdx
@@ -383,7 +383,7 @@ the following arguments:
 ```text [rasa data split nlu --help]
 ```
 
-If you have NLG data for retrieval actions, this will be saved to seperate files:
+If you have NLG data for retrieval actions, this will be saved to separate files:
 
 ```bash
 ls train_test_split

diff --git a/docs/docs/connectors/hangouts.mdx b/docs/docs/connectors/hangouts.mdx
@@ -52,7 +52,7 @@ to make the new channel endpoint available for Google Hangouts to send messages
 
 ### Cards and Interactive Cards
 
-There are two ways in which Hangouts Chat will display bot messages, either as text or card. For each recevied
+There are two ways in which Hangouts Chat will display bot messages, either as text or card. For each received
 request, your bot will send all messages in one response. If one of those messages is a card (e.g. an image),
 all other messages are converted to card format as well.
 

diff --git a/docs/docs/installation/installing-rasa-open-source.mdx b/docs/docs/installation/installing-rasa-open-source.mdx
@@ -9,8 +9,8 @@ import TabItem from '@theme/TabItem';
 import { Button } from '@theme/Button';
 
 :::note Want to explore first?
-You can explore Rasa Open Source online using the Rasa Playground even before you install.
-At the end of the tutorial you can download the resulting assistant, install Rasa on
+You can explore Rasa Open Source online using the Rasa Playground even before you install it.
+At the end of the tutorial, you can download the resulting assistant, install Rasa on
 your machine and continue development locally.
 <a className="button button--outline button button" href={useBaseUrl("/playground")}>Rasa Playground</a>
 :::

diff --git a/docs/docs/installation/rasa-pro/installation.mdx b/docs/docs/installation/rasa-pro/installation.mdx
@@ -153,7 +153,7 @@ You can increase UDP packet size by running `sudo sysctl -w net.inet.udp.maxdgra
 :::
 
 
-Congratulations! You have now succesfully installed Rasa Plus on your developement environment.
+Congratulations! You have now successfully installed Rasa Plus on your development environment.
 To learn more about production deployments, visit:
 - [Deploying Rasa Plus in production](../../deploy/deploy-rasa)
 - [Deploying Rasa Pro Services in production](../../deploy/deploy-rasa-pro-services)
diff --git a/docs/docs/language-support.mdx b/docs/docs/language-support.mdx
@@ -14,7 +14,7 @@ what pipeline is best for your use case, check out [choosing a pipeline](./tunin
 
 ## Training a Model in Any Languages
 
-The following pipeline can be used to train models in whitespace tokenizable langauges:
+The following pipeline can be used to train models in whitespace tokenizable languages:
 
 ```yaml-rasa (docs/sources/data/configs_for_docs/default_config.yml)
 ```

diff --git a/docs/docs/messaging-and-voice-channels.mdx b/docs/docs/messaging-and-voice-channels.mdx
@@ -61,12 +61,12 @@ As of writing this, it is set to 40 connections / minute.
 
 :::
 
-Alternatively you can make your assistent listen on a specific address using the `-i` command line
+Alternatively you can make your assistant listen on a specific address using the `-i` command line
 option:
 
 ```bash
 rasa run -p 5005 -i 192.168.69.150
 ```
 
-This is particulary useful when your internet facing machines connect to backend servers using a VPN 
+This is particularly useful when your internet facing machines connect to backend servers using a VPN 
 interface.
diff --git a/docs/docs/setting-up-ci-cd.mdx b/docs/docs/setting-up-ci-cd.mdx
@@ -12,7 +12,7 @@ import useBaseUrl from '@docusaurus/useBaseUrl';
 
 ## Overview
 
-Continous Integration (CI) is the practice of merging in code changes
+Continuous Integration (CI) is the practice of merging in code changes
 frequently and automatically testing changes as they are committed. Continuous
 Deployment (CD) means automatically deploying integrated changes to a staging
 or production environment. Together, they allow you to make more frequent improvements

diff --git a/docs/docs/testing-your-assistant.mdx b/docs/docs/testing-your-assistant.mdx
@@ -175,7 +175,7 @@ Here are some examples:
 
   ```yaml-rasa title="tests/test_stories.yml" {5,9,13}
   stories:
-  - story: A basic test story with mutliple entities for a single token
+  - story: A basic test story with multiple entities for a single token
     steps:
     - user: |
         hello
@@ -389,7 +389,7 @@ you can use a list notation in the test files, such as
 
 ```yaml
 stories:
-- story: A basic test story with mutliple entities for a single token
+- story: A basic test story with multiple entities for a single token
   steps:
     - user: |
         I like [ice cream][{\"entity\": \"food\"}, {\"entity\": \"desert\"}]