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Thank you! That's a great starting point. There is quite a bit more processing than simply highlighting a term but the approach of parsing the text/document and then using lineOffset to check if word is in the list of lines is a good starting point. I will see if it is ultimately faster than the cur...

Thank you very much. I think the issue is that the code does not allocate the specific term to the location. I will need to map each instance of a specific term to a specific location. Since concurrent parsing does not seem to work, I have instead started to narrow the starting line and end line of ...

The actual application uses the location data (line and word position in line) to then highlight certain instances of the specified terms in the document (e.g. a contract). For example, after the location position has been collected, the application highlights certain instances of a term as selected...

Thx. You could use any text but here is a link to the type of documents (converted into plain text) https://nvca.org/wp-content/uploads/2019/06/NVCA-Model-Document-Stock-Purchase-Agreement.docx It's the model stock purchase agreement from the National Venture Capital Organization. It has about 1,500...

Hi, I am trying to find a way to process a large amount of text (strings) by breaking up the text into subtexts and processing each subtext concurrently. I am not sure whether this is possible in Livecode. More specifically: I have a list of x number of words and, in this example, want to parse the ...