concord corpus="x:\text\dickens\hard_times.txt" node="hard" output="c:\temp\hard.cnc"
made a concordance of the hard_times.txt text file looking for the search-word hard and saved results in c:\temp\hard.cnc
concord corpus="x:\text\dickens\hard_times.txt" node="c:\temp\sws.txt" output="c:\temp\outputs.txt" 1_at_a_time="true"
made a concordance of the same text file looking for each search-word in the sws.txt file, counted the number of hits and saved results in c:\temp\outputs.txt
concord corpus="x:\text\dickens\hard_times.txt" node="c:\temp\sws.txt" output="c:\temp\concordances" searchword_by_searchword="true"
made a concordance of the same text file looking for each search-word in the sws.txt file and saved results as concordances (hard.cnc, soft.cnc etc.) in c:\temp\concordances folder
wordlist corpus="x:\text\shakes\oll\txt\tragedies\*.txt" output="c:\temp\shakespeare.lst"
made a word list of all the .txt text files in a folder of Shakespeare tragedies (not including sub-folders) and saved it in its default format.
keywords refcorpus="j:\temp\BNC.lst" wordlist="c:\temp\shakespeare.lst" output="j:\temp\shakespeare.kws"
made a key words list of that word list compared with a BNC word list and saved it.
wordlist-index corpus="x:\text\shakes\oll\txt\tragedies\*.txt" clusters = "3" output="c:\temp\shakespeare_tragedies_3s.lst" excluded_subfolders="*_characters" include_subfolders="true"
computed an index of shakespeare tragedies, looked at sub-folders but excluded any containing _characters, then computed clusters 3 words in length and saved the word list as shakespeare_tragedies_3s.lst,
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