diff --git a/docs/en/docs/A-Ops/using-gala-anteater.md b/docs/en/docs/A-Ops/using-gala-anteater.md
index 92907378c87b4d1b338584bc598db0763aadb5bf..571568eba2b43d3f45db23b905c5541768f0caad 100644
--- a/docs/en/docs/A-Ops/using-gala-anteater.md
+++ b/docs/en/docs/A-Ops/using-gala-anteater.md
@@ -44,7 +44,7 @@ Install gala-anteater.
 | -kp | --kafka_port | string | True |  | KAFKA_PORT | Port number of the Kafka server, for example, **9092**.|
 | -ps | --prometheus_server | string | True |  | PROMETHEUS_SERVER | IP address of the Prometheus server, for example, **localhost / xxx.xxx.xxx.xxx**.|
 | -pp | --prometheus_port | string | True |  | PROMETHEUS_PORT | Port number of the Prometheus server, for example, **9090**.|
-| -m | --model | string | False | vae | MODEL | Exception detection model. Currently, two exception detection models are supported: **random_forest** and **vae**.<br>**random_forest**: random forest model, which does not support online learning<br>**vae**: Variational Atuoencoder (VAE), which is an unsupervised model and supports model update based on historical data during the first startup.|
+| -m | --model | string | False | vae | MODEL | Exception detection model. Currently, two exception detection models are supported: **random_forest** and **vae**.<br>**random_forest**: random forest model, which does not support online learning<br>**vae**: Variational Autoencoder (VAE), which is an unsupervised model and supports model update based on historical data during the first startup.|
 | -d | --duration | int | False | 1 | DURATION | Frequency of executing the exception detection model. The unit is minute, which means that the detection is performed every *x* minutes.|
 | -r | --retrain | bool | False | False | RETRAIN | Whether to use historical data to update and iterate the model during startup. Currently, only the VAE model is supported.|
 | -l | --look_back | int | False | 4 | LOOK_BACK | Whether to update the model based on the historical data of the last *x* days.|
@@ -83,7 +83,7 @@ If the following information is displayed, the service is started successfully.
 2022-09-01 17:53:06,994 - root - INFO - Spends: 11.995422840118408 seconds to get unique machine_ids!
 2022-09-01 17:53:06,995 - root - INFO - The number of unique machine ids is: 1!                            
 2022-09-01 17:53:06,996 - root - INFO - Fetch metric values from machine: xxxx.
-2022-09-01 17:53:38,385 - root - INFO - Spends: 31.3896164894104 seconds to get get all metric values!
+2022-09-01 17:53:38,385 - root - INFO - Spends: 31.3896164894104 seconds to get all metric values!
 2022-09-01 17:53:38,392 - root - INFO - The shape of training data: (17281, 136)
 2022-09-01 17:53:38,444 - root - INFO - Start to execute vae model training...
 2022-09-01 17:53:38,456 - root - INFO - Using cpu device
diff --git a/docs/en/docs/A-Ops/using-gala-spider.md b/docs/en/docs/A-Ops/using-gala-spider.md
index 2949e6f18d9de8263579daeaae23a0cceacb67f6..e2d30f92cb12a90c8f3e11fad09b07db0eaf1c27 100644
--- a/docs/en/docs/A-Ops/using-gala-spider.md
+++ b/docs/en/docs/A-Ops/using-gala-spider.md
@@ -291,7 +291,7 @@ The configuration items in the gala-inference configuration file **/etc/gala-inf
 - `inference`: configuration information about the root cause locating algorithm.
     - `tolerated_bias`: tolerable time offset for querying the topology at the exception time point, in seconds.
     - `topo_depth`: maximum depth for topology query.
-    - `root_topk`: yop *K* root cause metrics generated in the root cause locating result.
+    - `root_topk`: top *K* root cause metrics generated in the root cause locating result.
     - `infer_policy`: root cause derivation policy, which can be `dfs` or `rw`.
     - `sample_duration`: sampling period of historical metric data, in seconds.
     - `evt_valid_duration`: valid period of abnormal system metric events during root cause locating, in seconds.