Merge branch 'master' of https://github.com/binary-husky/chatgpt_academic into master

README.md

@@ -10,6 +10,7 @@
 **如果喜欢这个项目，请给它一个Star；如果你发明了更好用的快捷键或函数插件，欢迎发pull requests**
 
 If you like this project, please give it a Star. If you've come up with more useful academic shortcuts or functional plugins, feel free to open an issue or pull request. We also have a README in [English|](docs/README_EN.md)[日本語|](docs/README_JP.md)[한국어|](https://github.com/mldljyh/ko_gpt_academic)[Русский|](docs/README_RS.md)[Français](docs/README_FR.md) translated by this project itself.
+To translate this project to arbitary language with GPT, read and run [`multi_language.py`](multi_language.py) (experimental).
 
 > **Note**
 >

multi_language.py

@@ -1,5 +1,7 @@
 """
-    Translate this project to other languages
+    Translate this project to other languages (experimental, please open an issue if there is any bug)
+    
+    
     Usage:
         1. modify LANG
             LANG = "English"
@@ -12,6 +14,15 @@
 
         4. Find the translated program in `multi-language\English\*`
    
+    P.S.
+    
+        - The translation mapping will be stored in `docs/translation_xxxx.json`, you can revised mistaken translation there.
+        
+        - If you would like to share your `docs/translation_xxxx.json`, (so that everyone can use the cached & revised translation mapping), please open a Pull Request
+
+        - If there is any translation error in `docs/translation_xxxx.json`, please open a Pull Request
+        
+        - Welcome any Pull Request, regardless of language
 """
 
 import os
@@ -217,7 +228,7 @@ def trans(word_to_translate, language, special=False):
                 #     for a,b in zip(res_before_trans, res_after_trans):
                 #         translated_result[a] = b
                 # except:
-                print('GPT输出格式错误，稍后可能需要再试一次')
+                print('GPT answers with unexpected format, some words may not be translated, but you can try again later to increase translation coverage.')
                 res_before_trans = eval(result[i-1])
                 for a in res_before_trans:
                     translated_result[a] = None