Write a tidy_masc_data() function

[francojc]

This function will take the acquired MASC data (after using the get_compressed_data() function) and produce a curated dataset.

Set up the function so that it will be possible to extend it do different types of curation. But start with the XML for word-based data. (*-penn.xml)

The signature might look something like this:

tidy_masc_data <- function(source_dir, target_dir, type = "penn", force = FALSE) {
# ...
}

Later type = can be augmented to include:

• "text" (plain text files)
• "ne" (named entities)
• "shallow" (noun chunks)
• etc.