fix typos (aramis-lab#503)

camillebrianceau · Nov 30, 2023 · e4bdb9b · e4bdb9b
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diff --git a/docs/Introduction.md b/docs/Introduction.md
@@ -158,7 +158,7 @@ split-<i>
 
 ### Level 3 - model application to data groups
 
-The last level corresponds to the content of `best-<metric>`. In this folder, the weights of the model is available (`best_model.pth.tar`)
+The last level corresponds to the content of `best-<metric>`. In this folder, the weights of the model are available (`best_model.pth.tar`)
 and their application to different data groups can be found:
 
 ```Text

diff --git a/docs/Preprocessing/Extract.md b/docs/Preprocessing/Extract.md
@@ -66,7 +66,7 @@ They provide all the details of the processing performed by the `prepare-data` c
 ## Extraction method
 
 In this section we consider the options needed and outputs produced for different
-extraction method command. Each time we consider that the input is named `<input_pattern>_<suffix>.nii.gz`.
+extraction method commands. Each time we consider that the input is named `<input_pattern>_<suffix>.nii.gz`.
 The suffix represents the initial modality (it can be for example `T1w`).
 
 !!! warning

diff --git a/docs/index.md b/docs/index.md
@@ -25,7 +25,7 @@ brain images in the context of Alzheimer's disease. This is why some functions
 of ClinicaDL can still be specific to Alzheimer's disease context. 
 
 
-For moreinformation on this clinical context, please refer to [our
+For more information on this clinical context, please refer to [our
 tutorial](https://aramislab.paris.inria.fr/clinicadl/tuto/).
 
 If you are new to ClinicaDL, please consider reading the [First steps
@@ -75,7 +75,7 @@ format (ready to use with **ClinicaDL >= 1.0.4**). Models trained with previous
 versions of ClinicaDL are also available. For more details concerning the
 parameters used to create these models please refer to the supplementary
 material of [[Wen et al., 2020](https://doi.org/10.1016/j.media.2020.101694)],
-particularly the etable 4.  All the original pretrained models, produced for
+particularly the table 4.  All the original pretrained models, produced for
 the aforementioned publication are also available in this [Zenodo
 record](https://zenodo.org/record/3491003) (note that models in this format are
 not useful anymore with current version of ClinicaDL).