diff --git a/app/Article.py b/app/Article.py
index 04a32ea..b493f47 100644
--- a/app/Article.py
+++ b/app/Article.py
@@ -7,7 +7,7 @@ import random, glob
 import hashlib
 from datetime import datetime
 from flask import Flask, request, redirect, render_template, url_for, session, abort, flash, get_flashed_messages
-from difficulty import get_difficulty_level, text_difficulty_level, user_difficulty_level
+from difficulty import get_difficulty_level_for_user, text_difficulty_level, user_difficulty_level
 
 
 path_prefix = '/var/www/wordfreq/wordfreq/'
@@ -45,7 +45,7 @@ def get_today_article(user_word_list, articleID):
     # Choose article according to reader's level
     d1 = load_freq_history(path_prefix + 'static/frequency/frequency.p')
     d2 = load_freq_history(path_prefix + 'static/words_and_tests.p')
-    d3 = get_difficulty_level(d1, d2)
+    d3 = get_difficulty_level_for_user(d1, d2)
 
     d = {}
     d_user = load_freq_history(user_word_list)
diff --git a/app/difficulty.py b/app/difficulty.py
index 3e6007b..0d6d8b7 100644
--- a/app/difficulty.py
+++ b/app/difficulty.py
@@ -37,7 +37,7 @@ def difficulty_level_from_frequency(word, d):
     return level
 
 
-def get_difficulty_level_for_words_and_tests(d):
+def convert_test_type_to_difficulty_level(d):
     """
     对原本的单词库中的单词进行难度评级
     :param d: 存储了单词库pickle文件中的单词的字典
@@ -51,12 +51,12 @@ def get_difficulty_level_for_words_and_tests(d):
             result[k] = 4  # CET4 word has level 4
         elif 'CET6' in d[k] or 'GRADUATE' in d[k]:
             result[k] = 6
-        elif 'IELTS' in d[k]:   # 雅思或研究生英语
+        elif 'IELTS' in d[k]:   # 雅思
             result[k] = 7
         elif 'BBC' in d[k]:
             result[k] = 8
-        # elif 'EnWords' in d[k]:      # 除基础词汇外的绝大多数词，包括一些犄角旮旯的专业词汇，近九万个，定级不太好处理，绝大多数我是真不认识
-        #     result[k] = 7
+        elif 'EnWords' in d[k]:      # 除基础词汇外的绝大多数词，包括一些犄角旮旯的专业词汇，近九万个，定级不太好处理，绝大多数我是真不认识
+            result[k] = 3
 
     return result  # {'apple': 4, ...}
 
@@ -78,13 +78,13 @@ def simplify_the_words_dict(d):
     return result
 
 
-def get_difficulty_level(d1, d2):
+def get_difficulty_level_for_user(d1, d2):
     """
     d2 来自于词库的27000个已标记单词
     d1 用户不会的词
     在d2的后面添加单词，没有新建一个新的字典
     """
-    d2 = get_difficulty_level_for_words_and_tests(d2)   # 根据d2的标记评级{'apple': 4, 'abandon': 4, ...}
+    d2 = convert_test_type_to_difficulty_level(d2)   # 根据d2的标记评级{'apple': 4, 'abandon': 4, ...}
     d2_simplified = simplify_the_words_dict(d2)                # 提取d2的词根   {'appl': 4, 'abandon': 4, ...}
     stem = snowballstemmer.stemmer('english')
 
@@ -181,7 +181,7 @@ if __name__ == '__main__':
     #print(d2)
 
 
-    d3 = get_difficulty_level(d1, d2)
+    d3 = get_difficulty_level_for_user(d1, d2)
 
     s = '''
 South Lawn