Merge pull request #7945 from GreatV/fix_broken_link

Fixed some broken links

deploy/cpp_infer/readme.md

@@ -158,7 +158,7 @@ build/paddle_inference_install_dir/
 <a name="21"></a>
 ### 2.1 Export the inference model
 
-* You can refer to [Model inference](../../doc/doc_ch/inference.md) and export the inference model. After the model is exported, assuming it is placed in the `inference` directory, the directory structure is as follows.
+* You can refer to [Model inference](../../doc/doc_en/inference_en.md) and export the inference model. After the model is exported, assuming it is placed in the `inference` directory, the directory structure is as follows.
 
 ```
 inference/

deploy/pdserving/README.md

@@ -42,7 +42,7 @@ The introduction and tutorial of Paddle Serving service deployment framework ref
 
 PaddleOCR operating environment and Paddle Serving operating environment are needed.
 
-1. Please prepare PaddleOCR operating environment reference [link](../../doc/doc_ch/installation.md).
+1. Please prepare PaddleOCR operating environment reference [link](../../doc/doc_en/installation_en.md).
    Download the corresponding paddlepaddle whl package according to the environment, it is recommended to install version 2.2.2.
 
 2. The steps of PaddleServing operating environment prepare are as follows:

doc/doc_en/ppocr_introduction_en.md

@@ -64,7 +64,7 @@ For more details, please refer to [PP-OCRv3 technical report](https://arxiv.org/
 For the performance comparison between PP-OCR series models, please check the [benchmark](./benchmark_en.md) documentation.
 
 <a name="4"></a>
-## 4. Visualization [more](./visualization.md)
+## 4. Visualization [more](./visualization_en.md)
 
 <details open>
 <summary>PP-OCRv3 Chinese model</summary>

doc/doc_en/recognition_en.md

@@ -26,7 +26,7 @@
 
 ### 1.1 DataSet Preparation
 
-To prepare datasets, refer to [ocr_datasets](./dataset/ocr_datasets.md) .
+To prepare datasets, refer to [ocr_datasets](./dataset/ocr_datasets_en.md) .
 
 PaddleOCR provides label files for training the icdar2015 dataset, which can be downloaded in the following ways: