Hints for using cltk with own latin corpus

This is not really an issue, but a question (I can not find any mailing list on the webpage, sorry).

Since I’m a little lost with the way cltk works, I would appreciate if I could get some help with the following workflow: I want to work with a ‘private’ corpus in latin (resolutions of a catholic religious order from 1500 to 1800). My questions are:

1. do I need to create a git repository for that? Or is there a possibility to work with local files?
2. what is exactly the relationship between import_corpus (CorpusImporter) and the objects of class corpus created by nltk?
3. since I only want to do some exploratory analysis of the corpus, what is the best method I can use then corpus imported with cltk with the methods provided by nltk (frequencies, and so on)?

Many thanks in advance (and many thanks of course for the wonderful library).

[diyclassics]

Let me add quickly to “If your data is only available on your local filesystem” and if it is a plaintext corpus, you can use NLTK’s PlaintextCorpusReader to help manage the files and get out-of-the-box tokenization (para, sent, word). Cf. https://pynlp.wordpress.com/2013/12/10/unit-5-part-ii-working-with-files-ii-the-plain-text-corpus-reader-of-nltk/. This is the basis of the Latin Library reader in cltk.corpus.latin. If it is not plaintext, you may be able to use a different NLTK reader; see here: http://www.nltk.org/howto/corpus.html.

[todd-cook]

Looks like the issue has been resolved. We may want to update the documentation though.