Rephrased

software-mentions-extractor/README.md

@@ -2,13 +2,13 @@
 
 ## Introduction
 
-The scripts in this directory extract software mentions from NXML files downloaded from PMC OA files, [https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). We assume that the user downloaded the files, and extracted the contents. Then there is a file system with two main directories, comm and non\_comm for the commercial use subset and the non commercial use only subset.  Each directory has subdurectories, one per journal.  The subdirectories contain NXML files, one per paper.
+The scripts in this directory extract software mentions from NXML files downloaded from PMC OA files, [https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/](https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist/). We assume that you downloaded the files, and extracted the contents. Then you have file system with two main directories, comm and non\_comm for the commercial use subset and the non commercial use only subset.  Each directory has subdurectories, one per journal.  The subdirectories contain NXML files, one per paper.
 
 You use software-mentions-extractor.py to extract the mentions. If needed, the result can be detokenized using detokenyzer.py auxillary script.
 
 The extractor is designed to work with GNU parallel command [https://doi.org/10.5281/zenodo.6682930](https://doi.org/10.5281/zenodo.6682930).  For example, suppose your working directory contains comm and non\_comm directories, then you can extract all mentions from the commercial subset using
 
-   ls -d comm/* | parallel -d ./software-mentions-extractor -o output/
+   ls -d comm/* | parallel -d software-mentions-extractor -o output
 
 
 ## software-mentions-extractor.py ##