tacl intersect

usage: tacl intersect [-h] [-v] [-m] [-r RAM] [-t {cbeta,pagel}]
                      DATABASE CORPUS CATALOGUE

List n-grams common to all sub-corpora (as defined by the labels in the
specified catalogue file).

positional arguments:
  DATABASE              Path to database file.
  CORPUS                Path to corpus.
  CATALOGUE             Path to catalogue file.

optional arguments:
  -h, --help            show this help message and exit
  -v, --verbose         Display debug information; multiple -v options
                        increase the verbosity. (default: None)
  -m, --memory          Use RAM for temporary database storage.
                        
                        This may cause an out of memory error, in which case
                        run the command without this switch. (default: False)
  -r RAM, --ram RAM     Number of gigabytes of RAM to use. (default: 3)
  -t {cbeta,pagel}, --tokenizer {cbeta,pagel}
                        Type of tokenizer to use. The "cbeta" tokenizer is
                        suitable for the Chinese CBETA corpus (tokens are
                        single characters or workaround clusters within square
                        brackets). The "pagel" tokenizer is for use with the
                        transliterated Tibetan corpus (tokens are sets of word
                        characters plus some punctuation used to transliterate
                        characters). (default: cbeta)

examples:

  Make an intersect query against a CBETA corpus.
    tacl intersect cbeta2-10.db corpus/cbeta/ dhr-vs-rest.txt > output.csv

  Make an intersect query against a Pagel corpus.
    tacl intersect -t pagel pagel1-7.db corpus/pagel/ by-author.txt > output.csv

Due to encoding issues, you may need to set the environment variable
PYTHONIOENCODING to "utf-8".