step 3 of dslm fixed

README.md

@@ -179,9 +179,11 @@ Dialog state based weakly supervised training of STT models will typically go th
 
 - Train interpolated dialog state specific LMs
 
-    > `bash local/dsLMs/trainInterpolatedDialogStateLMs.sh ds_lm_dir old_lm_arpa int_ds_lm_dir`
+    > `bash local/dsLMs/trainInterpolatedDialogStateLMs.sh old_lang_test_dir old_lm_arpa ds_lm_dir int_ds_lm_dir`
 
-    'old_lm_arpa' is the arpa LM corresponding to the seed LM,  
+    'old_lang_test_dir' lang_test directory of seed models,
+    'old_lm_arpa' is the arpa LM corresponding to the seed LM,
+    'ds_lm_dir' from previous step,  
     'int_ds_lm_dir' contains the interpolated dialog state specific LMs.
 
     Note that interpolated dialog state specific LMs perform better than the dialog state specific LMs created by previous command. But the previous command is essential to obtain 'ds_lm_dir'.