fix s british errors

unimib-datAI · Sep 16, 2024 · 167d536 · 167d536
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diff --git a/docs/getting-started/configuration.md b/docs/getting-started/configuration.md
@@ -4,7 +4,7 @@ sidebar_position: 2
 
 # Configuration
 
-This document describes the configuration file parameters for MantisTable UI. The configuration file is essential for connecting to databases, setting up external services, and customizing application behavior.
+This document describes the configuration file parameters for MantisTable UI. The configuration file is essential for connecting to databases, setting up external services, and customising application behavior.
 
 ## How to Use the Configuration File
 

diff --git a/docs/introduction.md b/docs/introduction.md
@@ -6,7 +6,7 @@ sidebar_position: 1
 
 Introducing **MantisTable UI**, the ultimate **web interface** for managing **Semantic Table Interpretation (STI)** approaches. Designing a user-friendly, robust UI from scratch can be an arduous endeavor, demanding a unique blend of technical prowess, design acumen, and meticulous attention to detail. MantisTable UI was developed to alleviate this burden, providing an intuitive, ready-to-use 🙀 platform tailored for STI.
 
-MantisTable UI stands out with its **powerful and flexible plugin system**, enabling users to easily extend and customize its functionality. Whether you are a developer looking to integrate new features or a researcher aiming to adapt the tool to specific use cases, MantisTable UI offers a seamless experience 🦄, allowing for effortless expansion and personalization.
+MantisTable UI stands out with its **powerful and flexible plugin system**, enabling users to easily extend and customise its functionality. Whether you are a developer looking to integrate new features or a researcher aiming to adapt the tool to specific use cases, MantisTable UI offers a seamless experience 🦄, allowing for effortless expansion and personalisation.
 
 With MantisTable UI, you can focus on what truly matters—advancing your work in Semantic table Interpretation while enjoying the benefits of a sophisticated, user-centric interface designed to enhance productivity and streamline your workflow 💅. Say goodbye to the complexities of UI development and embrace the efficiency and versatility of MantisTable UI.
 

diff --git a/docs/plug-in/index.mdx b/docs/plug-in/index.mdx
@@ -25,17 +25,17 @@ Export plugins enable MantisTable UI to export data and annotations in user-defi
 
 - Exporting tables to custom file formats (e.g., JSON, XML, CSV).
 - Generating reports in PDF or other document formats.
-- Custom serialization of table data for integration with other systems.
+- Custom serialisation of table data for integration with other systems.
 
 ### 2. Add-on Plugins
 
 **Description:**  
-Add-on plugins use semantic annotations to process table data, providing additional functionalities such as lexicalization and visualization.
+Add-on plugins use semantic annotations to process table data, providing additional functionalities such as lexicalisation and visualisation.
 These plugins enhance the interpretability and presentation of the data.
 
 **Use Cases:**
 
-- Visualizing table data in charts or graphs.
+- Visualising table data in charts or graphs.
 - Generating natural language descriptions of table content.
 - Integrating with external semantic services for enriched data processing.
 

diff --git a/docs/sti/default-sti-approach.md b/docs/sti/default-sti-approach.md
@@ -8,8 +8,8 @@ MantisTable UI intagrate a default STI approach: **s-elBat**. If you want to int
 
 ## s-elBat
 
-**s-elBat**  (the name comes from taBle-s and Semantic Entity Linking to BAtch Table) is a supervised and unsupervised STI approach.It incorporates various strategies to address all STI challenges.
+**s-elBat** (the name comes from taBle-s and Semantic Entity Linking to BAtch Table) is a supervised and unsupervised STI approach.it incorporates various strategies to address all STI challenges.
 
 <img src="/mantistable-ui-docs/img/selbat.png" height="100"></img>
 
-This new approach, s-elBat, builds upon and enhances our previous STI approaches ([Cremaschi et. al, 2019](https://ceur-ws.org/Vol-2553/paper3.pdf) - [Cremaschi et. al, 2020](https://ceur-ws.org/Vol-2775/paper8.pdf) - [Avogadro et al., 2021](https://ceur-ws.org/Vol-3103/paper7.pdf)). Based on the experience gained from those solutions and their involvement in [SemTab Challenge](https://www.cs.ox.ac.uk/isg/challenges/sem-tab/), it integrates a feature vector-based entity disambiguation approach. This approach combines heuristic and machine learning techniques to achieve precise disambiguation results.
+This new approach, s-elBat, builds upon and enhances our previous STI approaches ([Cremaschi et. al, 2019](https://ceur-ws.org/Vol-2553/paper3.pdf) - [Cremaschi et. al, 2020](https://ceur-ws.org/Vol-2775/paper8.pdf) - [Avogadro et al., 2021](https://ceur-ws.org/Vol-3103/paper7.pdf)). Based on the experience gained from those solutions and their involvement in [SemTab Challenge](https://www.cs.ox.ac.uk/isg/challenges/sem-tab/), it integrates a feature vector-based entity disambiguation approach. This approach combines heuristic and machine learning techniques to achieve precise disambiguation results.