Update README.md

README.md

 # CM-Tool: Corpus Making Tool
 -------------------------------------------------------------------------------
 
-This repository gathers some useful programs to obtain experimental data and
+This repository gathers some useful python scripts to obtain experimental data and
 enable the construction of corpus about various topic.
 
 
-## Source
+## Input Data
 
-The "source" directory contains source data, which are raw text data
-from [DBPedia](https://dbpedia.org/).
+The "inputData" directory contains source data, which are raw text data
+from different sources (such as [DBPedia](https://dbpedia.org/)).
 
 
-## Data
+## Output Data
 
-The "data" directery contains data in different representations:
+The "outputData" directery contains produced data, including a sequence of sentences 
+('dataRef.sentence.txt'), and, for each sentence, some files corresponding to various 
+representations such as:
 
-- sequence of sentences ('dataRef.sentence.txt')
-- AMRs Graph ('dataRef.amr.graph')
-- AMR Linked Data ('dataRef.amr.rdf')
+- Textual AMRs Graph in PENMAN format ('dataRef.amr.penman')
+- Vizual AMRs Graph in DOT and PNG format ('dataRef.amr.dot', 'dataRef.amr.png')
+- AMR Linked Data in nTriple and Turtle format ('dataRef.amr.nt', 'dataRef.amr.ttl')
 
 These data were obtained from the sources, by applying the script
-'convert_text_to_amr.py'.
+'convert_text_to_amr.py'. The module used can be specified in the file name 
+(e.g. .stog for the STOG model).
 
 
 ## Script <convert_text_to_amr.py>
@@ -74,7 +77,7 @@ as argument (for example, 'test'). It can be run using command line:
 
 ## Library
 
-The "lib" directory contains useful library.
+The "lib" directory contains useful libraries.
 
 
 # References