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aradzinski pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
     new 60b8937  FIxing paths.
60b8937 is described below

commit 60b8937821897472b92f357ddd2854061e615f4d
Author: Aaron Radzinski <[email protected]>
AuthorDate: Wed Sep 23 17:12:23 2020 -0700

    FIxing paths.
---
 nlpcraft/src/main/python/ctxword/README.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/nlpcraft/src/main/python/ctxword/README.md 
b/nlpcraft/src/main/python/ctxword/README.md
index 750a8a9..4cf4dc9 100644
--- a/nlpcraft/src/main/python/ctxword/README.md
+++ b/nlpcraft/src/main/python/ctxword/README.md
@@ -30,12 +30,12 @@ models and Facebook's [FastText](https://fasttext.cc/) 
library.
 
 ### Dependencies
 To install necessary dependency:
- * **Linux/MacOS**: run `src/main/python/ctxword/bin/install_dependencies.sh` 
script.  
- * **Windows**: read `src\main\python\ctxword\bin\WINDOWS_SETUP.md` file for 
manual installation.
+ * **Linux/MacOS**: run 
`nlpcraft/src/main/python/ctxword/bin/install_dependencies.sh` script.  
+ * **Windows**: read `nlpcraft\src\main\python\ctxword\bin\WINDOWS_SETUP.md` 
file for manual installation.
 
 ### Start REST Server
 To start 'ctxword' module REST server:
- * Run `src/main/python/ctxword/bin/start_server.{sh|cmd}` script.  
+ * Run `nlpcrat/src/main/python/ctxword/bin/start_server.{sh|cmd}` script.  
  
 NOTE: on the 1st start the server will try to load compressed BERT model which 
is not yet available. It will
 then download this library and compress it which will take a several minutes 
and may require 10 GB+ of 
@@ -76,7 +76,7 @@ Here's the sample request and response JSON objects:
    - `[["word1", "word2", "word3"]]`
  
 ### `suggest.{sh|cmd}`
-You can use Curl-based `src/main/python/ctxword/bin/suggest.{sh|cmd}` scripts 
for the suggestion processing of single sentences from the command line.
+You can use Curl-based `nlpcraft/src/main/python/ctxword/bin/suggest.{sh|cmd}` 
scripts for the suggestion processing of single sentences from the command line.
 Following call returns list of contextual suggestions for the 5th word 
(counting from zero) in the given sentence: 
 
 ```

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