diff --git a/func/collocation/collocation.py b/func/collocation/collocation.py
index 6ca9db58b797dd080642acef6ba2b1aaac64c9a8..0709e9767886c0f9a6c967042828faad79a36e3a 100644
--- a/func/collocation/collocation.py
+++ b/func/collocation/collocation.py
@@ -1,6 +1,6 @@
 import spacy
 import math
-from shared.translate import translate
+#from shared.translate import translate
 import nltk
 from nltk.collocations import TrigramCollocationFinder
 from nltk.metrics import TrigramAssocMeasures
@@ -60,7 +60,7 @@ def run_collocation_on_text(page):
         itemstr = " ".join(i for i in item[0])
         if '部' in itemstr:
             itemstrnew = itemstr.replace('部','').strip().replace(' ','')
-            translation = translate(itemstr.replace('部','').strip()).text.lower()
+            #translation = translate(itemstr.replace('部','').strip()).text.lower()
             #print(translation)
             #print('--------------')
             score = round(item[1],3)
diff --git a/func/concordance/concordance.py b/func/concordance/concordance.py
index b9fe3fdd28ffb4cb6ce3d5fe62b63216df2e507a..5a0fe246bb643fc98e302fd7a7296e7ec339c8d2 100644
--- a/func/concordance/concordance.py
+++ b/func/concordance/concordance.py
@@ -1,5 +1,5 @@
 import spacy
-from shared.translate import translate
+#from shared.translate import translate
 from wasabi import Printer
 from spacy.matcher import PhraseMatcher
 from db.db_config import get_db
@@ -50,7 +50,7 @@ def collocations():
         itemstr = " ".join(i for i in item[0])
         if '部' in itemstr:
             itemstrnew = itemstr
-            translation = translate(itemstr).text.lower()
+            #translation = translate(itemstr).text.lower()
             # print(translation)
             # print('--------------')
             score = round(item[1], 3)
@@ -65,6 +65,8 @@ def collocations():
 
 
 def run_concordance_on_text(page):
+    #print('page: ',page)
+    page = page+'部'
     nlp = spacy.load('zh_core_web_sm')
     conn, cursor = get_db()
     cursor.execute('SELECT * from news;')
@@ -77,10 +79,13 @@ def run_concordance_on_text(page):
 
     concordances = []
     terms = collocations()
+
+    #terms = [page]
     for i in range(0, len(data)):
         id = data[i][0]
         txt = data[i][1]
         doc = nlp(txt)
+        #print('txt: ',txt)
 
 
         matcher = PhraseMatcher(nlp.vocab,attr='LOWER')
@@ -88,7 +93,7 @@ def run_concordance_on_text(page):
         matcher.add("TermCollocations", patterns)
 
         matches = matcher(doc)
-        match = Printer()
+        #match = Printer()
         for j, start, end in matches:
             perecedingSlice = doc[start - 20: start].text
             if '。' in perecedingSlice:
@@ -97,10 +102,13 @@ def run_concordance_on_text(page):
                 perecedingSlice = perecedingSlice.strip()
 
 
+
             #perecedingSliceTr = clean(translate(doc[start - 20: start]).text)
             matchedTerm = doc[start:end].text
+
+
             #matchedTerm = doc[start:end].text
-            matchedTermTr = match.text(translate(doc[start:end].text).text, color='red', no_print=True)
+            #matchedTermTr = match.text(translate(doc[start:end].text).text, color='red', no_print=True)
             #matchedTermTr = match.text(translate(doc[start:end].text).text)
             followingSlice = doc[end:end + 20].text
             #followingSliceTr = clean(translate(doc[end:end + 20]).text)
@@ -109,6 +117,7 @@ def run_concordance_on_text(page):
 
             #contextTr = perecedingSliceTr+', '+matchedTermTr+', '+followingSliceTr
             #concordances.append({"0 Term": escapeAnscii(matchedTerm), "1 Eng": escapeAnscii(matchedTermTr), "2 Context":escapeAnscii(context), "3 Context Eng":escapeAnscii(contextTr)})
+
             concordances.append({"0 Preceded By":perecedingSlice,"1 Term": matchedTerm, "2 Followed By": followingSlice})
 
 
diff --git a/func/ner/ner.py b/func/ner/ner.py
index e783903f22eb2c88ef454077afdd68293cf2ff22..5fe9a5fe20427e45575fc9b6d60d97466afd8c3a 100644
--- a/func/ner/ner.py
+++ b/func/ner/ner.py
@@ -9,6 +9,7 @@ from db.db_config import get_db
 #page = '尼罗河 是一条流經非洲東部與北部的河流，與中非地區的剛果河、非洲南部的赞比西河以及西非地区的尼日尔河並列非洲最大的四個河流系統。'
 # Perform NER on Text
 def run_ner_on_text(page):
+    print('NER tag: ',page)
     ner_driver = CkipNerChunker(model="bert-base")
     conn, cursor = get_db()
     cursor.execute('SELECT * from news;')
@@ -41,7 +42,7 @@ def run_ner_on_text(page):
                 word = tag.split('__')[0]
                 ner = tag.split('__')[1]
                 #translation = translate(word).text
-                if ner == 'PERSON':
+                if ner == page:
                     ner_words_with_count.append({"0 Word": word, "1 NER": ner, "2 Frequency": freq})
             seen_words.append(tag)
 
diff --git a/func/translation/translation.py b/func/translation/translation.py
index 190bd6b3a03adaa5b9fba12e27ffdb82c7c381b1..deeca7a8774700a8d05b1fdf5ecb23ff1c0d8d02 100644
--- a/func/translation/translation.py
+++ b/func/translation/translation.py
@@ -2,8 +2,9 @@ import html_to_json
 from shared.translate import translate
 
 
-# Perform NER on Text
+# Translate text
 def run_translation_on_text(page):
+    #print('page from translation.py: ',page)
     try:
         output_json = html_to_json.convert_tables(page)
         output = output_json[0]
diff --git a/func/usasFine/usasFine.py b/func/usasFine/usasFine.py
index 5255519dfd10e5940ca825bd9fc97124303b1d1b..349e3735cdefd83f160673e16e747724be7066ed 100644
--- a/func/usasFine/usasFine.py
+++ b/func/usasFine/usasFine.py
@@ -7,6 +7,7 @@ from db.db_config import get_db
 
 
 def run_usasFine_on_text(page):
+    print('tag: ',page)
     d = {}
     with open('/Users/tom/PycharmProjects/cognistance/func/usas/usas_desc.txt') as f:
         for line in f:
@@ -15,7 +16,7 @@ def run_usasFine_on_text(page):
             val = lineL[1].strip()
             d[key] = val
 
-    print(d)
+    #print(d)
     # We exclude the following components as we do not need them.
     nlp = spacy.load('zh_core_web_sm', exclude=['parser', 'ner'])
     # Load the Chinese PyMUSAS rule-based tagger in a separate spaCy pipeline
@@ -65,7 +66,7 @@ def run_usasFine_on_text(page):
                     word = tag.split('__')[0]
                     usas = tag.split('__')[1]
 
-                    if 'A' in usas:
+                    if page in usas:
                         tag_object = {"0 Word":word,"1 Discourse Field": usas, "2 Definition":d[usas],"3 Frequency": freq}
 
                         usas_tags_with_count.append(tag_object)
diff --git a/main.py b/main.py
index ea0ba98e74fa9511159fced985d8ab0368bac7df..d576f0602059a50e386db9eba96668e6601fc0f4 100644
--- a/main.py
+++ b/main.py
@@ -28,7 +28,7 @@ def ner():
     return result
 
 
-@app.route("/translate", methods=['POST'])
+@app.route("/translation", methods=['POST'])
 
 def translate():
     request_data = request.get_json()
diff --git a/requirements.txt b/requirements.txt
index 11e587fe5b159cc43c58b9b91f6a5238d3eaeff6..2c915fa668dbc2e58925c898e2522938f683a548 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,4 +5,4 @@ ckip-transformers~=0.3.4
 flask-cors~=4.0.1
 spacy~=3.7.4
 googletrans ~=3.1.0a0
-pandas ~=2.2.3
\ No newline at end of file
+pandas ~=2.2.
\ No newline at end of file
diff --git a/shared/translate.py b/shared/translate.py
index d269dd1acd35cfa46b009d4527360251b63e6b88..c51c8459329d22ab4bb455d77b7d17d15844494a 100644
--- a/shared/translate.py
+++ b/shared/translate.py
@@ -10,6 +10,7 @@ def translate(word):
     translator = Translator()
 
     result = translator.translate(word, src='zh-cn', dest='en')
+    print('page from translate.py: ', result)
 
     return result