A company backend for N-gram based completion.
This backend produces completion candidates that are fuzzily matching to N-gram data.
The N-gram data is automatically constructed from *.txt files placed directly under company-ngram-data-dir directory.
If you set company-ngram-n to 4, three words before the cursor are used to produce completion candidates.
To mitigate the data sparsity problem, this backend uses a fuzzy-matching strategy.
Given the following sentence, Dear Dr. Aki, , this backend produces completion candidates that match at least one of following prefixes,
Dear Dr. Aki,
* Dr. Aki,
Dear * Aki,
* * Aki,
Dear Dr. *
* Dr. *
Dear * *
where * matches an arbitrary word.
Hence, even if your *.txt does not contain the word Aki, you still have chance to get completion candidates.
; ~/.emacs.d/init.el
(with-eval-after-load 'company-ngram
; ~/data/ngram/*.txt are used as data
(setq company-ngram-data-dir "~/data/ngram")
; company-ngram supports python 3 or newer
(setq company-ngram-python "python3")
(company-ngram-init)
(cons 'company-ngram-backend company-backends)
; or use `M-x turn-on-company-ngram' and
; `M-x turn-off-company-ngram' on individual buffers
;
; save the cache of candidates
(run-with-idle-timer 7200 t
(lambda ()
(company-ngram-command "save_cache")
))
)
(require 'company-ngram nil t)RFC provides handy text files for a quick trial.
wget --directory-prefix ~/data/ngram https://www.rfc-editor.org/rfc/rfc{5661,6716,4949}.txt