Hi @azaras   and @sbxkoenk , I don't think you need epcode in this environment. You can just run the AstoreScoreCode.sas after setting some of the macro variables. Directions are in the file itself.  Can you give that a try, @azaras ? Thanks Russ ... View more

 Hi dylanleong78, I think you pretty much have the right understanding of the process for the action. The spell correction is statistical in nature and selects rare terms as potential candidates to have been misspelled, but only when there is a frequently occurring term that is similar to it and that can serve as its correct spelling. It is designed to work on large data not so much a small set like you have. The dictionary input prevents some rare terms from being mapped as a potential misspelling, if they are on the dictionary, but that does not help you here.   I don't think the detailed complexTag will necessarily be of much help here. Although maybe you  have found a pattern that helps in your cases. The "inc" there represents "unknown" essentially. Without the frequently occurring terms to map to, the algorithm won't suggest a correction.  There are a couple of things that come to mind you might try . 1. If you find some well-edited documents (100s or 1000's of them)  to accompany your 6 , you may find that some of your  incorrect words do get corrected by including these. Also some of your tuning parameters will then become relevant  (If you want to go really extreme, you could create sentences and ultimately documents by randomly and repeatedly selecting dictionary words to create random content. You would want to automate the construction of this with some data step because you want to create a large number of these and you want your  dictionary words repeating in several documents.  Then combine your new random documents with the 6 you are trying to spell check.)   And a second approach that requires more work and doesn't use the action... 2. SAS has some functions for data step such as spedis (spelling edit distance) that you could potential compare every term of the offset table from tpParse with every term on your dictionary, looking for similar spellings.  This means you do a loop through every term of your collection comparing  each one to every term of your dictionary. When a term doesn't exactly match a dictionary term and it is close to some other term you could flag it. You might be surprised at how the type I and type II errors can come in to play here though. ... View more