diff --git a/nlp-tools/README.md b/nlp-tools/README.md
index 7656779..9fa6fb2 100644
--- a/nlp-tools/README.md
+++ b/nlp-tools/README.md
@@ -1,6 +1,6 @@
-## NLP_tools-EZmaster  
+## nlp-tools  
 
-Service pour l insterrogation de la boite à outil **nlptools**.
+Service pour l'interrogation de la boite à outil **nlptools**.
 
 **nlptools** est bibliothèque d'outils pour le traitement NLP (construite au dessus de https://spacy.io/)
 
@@ -17,8 +17,8 @@
    
 Deux types de sortie (output) sont disponibles pour chaque traitement.  
 Le résultat est présenté soit :
-* présenté sous la forme du texte d'origine  (doc)
-* sous la forme d'un structure json  (json)
+* présenté sous la forme du texte d'origine (doc)
+* sous la forme d'un structure json (json)
 
 
 #### Interrogation du WebService 
@@ -26,7 +26,7 @@
 Syntaxe des URLs :
 
 ```
-https://nlp-tools-1.services.inist.fr/v1/{langue}/{engine}/analyze?output={val}
+https://nlp-tools-2.services.inist.fr/v1/{langue}/{engine}/analyze?output={val}
 ```
   
 > **{langue}** = la langue à analyser           [en , fr]  
@@ -47,12 +47,12 @@
 
 Exemple d'appel du POStagger, sortie doc :
 ```  
-cat data/data_en.json | curl --proxy "" -X POST --data-binary @- "https://nlp-tools-1.services.inist.fr/v1/en/postagger/analyze?indent=true&output=doc"
+cat data/data_en.json | curl --proxy "" -X POST --data-binary @- "https://nlp-tools-2.services.inist.fr/v1/en/postagger/analyze?indent=true&output=doc"
 ```
 Exemple d'appel du termmatcher, sortie doc :  
 ```  
 
-cat <<EOF | curl --proxy "" -X POST --data-binary @-  "https://nlp-tools-1.services.inist.fr/v1/en/termmatcher/analyze?indent=true&output=json"
+cat <<EOF | curl --proxy "" -X POST --data-binary @-  "https://nlp-tools-2.services.inist.fr/v1/en/termmatcher/analyze?indent=true&output=json"
   [{
  "idt":"08-0245642","value":"Random walk of passive tracers among randomly moving obstacles. Background: This study is mainly motivated by the need of understanding how the diffusion behaviour of a biomolecule (or even of a larger object) is affected by other moving macromolecules, organelles, and so on, inside a living cell, whence the possibility of understanding whether or not a randomly walking biomolecule is also subject to a long-range force field driving it to its target. Method: By means of the Continuous Time Random Walk (CTRW) technique the topic of random walk in random environment is here considered in the case of a passively diffusing particle in a crowded environment made of randomly moving and interacting obstacles. Results: The relevant physical quantity which is worked out is the diffusion cofficient of the passive tracer which is computed as a function of the average inter-obstacles distance. Coclusions: The results reported here suggest that if a biomolecule, let us call it a test molecule, moves towards its target in the presence of other independently interacting molecules, its motion can be considerably slowed down. Hence, if such a slowing down could compromise the efficiency of the task to be performed by the test molecule, some accelerating factor would be required. Intermolecular electrodynamic forces are good candidates as accelerating factors because they can act at a long distance in a medium like the cytosol despite its ionic strength."
  },{
@@ -62,7 +62,7 @@
 }]
 EOF
 ```
-#### Test d'intégation EZmaster like  
+#### Test d'intégation Pmaster like  
 ```
 cd public
 sed -e '1d; $d' ../data/data_en.json | sed 's/\,$/ /g' | python3 analyze.py stemmer -o doc -lang en
diff --git a/nlp-tools/test_EZ/run_test_NLPtools_EZ.py b/nlp-tools/test_EZ/run_test_NLPtools_EZ.py
index 0abd5f4..0eef787 100755
--- a/nlp-tools/test_EZ/run_test_NLPtools_EZ.py
+++ b/nlp-tools/test_EZ/run_test_NLPtools_EZ.py
@@ -16,7 +16,7 @@
 # dev
 # uri="http://nlptools-02.tdmservices.intra.inist.fr"
 # prod
-uri_prod="https://nlp-tools-1.services.inist.fr"
+uri_prod="https://nlp-tools-2.services.inist.fr"
 #"http://vptdmservices.intra.inist.fr:35268/"
 uri_dev="http://nlptools-02.tdmservices.intra.inist.fr"