5.5.1 Learning from Buffers and Files
Predictive mode can learn word weights from existing text. The following
commands can be used to do this. Note that they will not add new words
to a dictionary; they only update weights of words that are already in
the dictionary. The learning commands take account of region-local
dictionaries, and will ensure words are learnt in the correct
dictionaries (see Region-Local Dictionaries).
Usually, you want to accumulate knowledge from each new piece of
text. But sometimes, you may want to start from scratch, and reset the
word weights to zero before starting to train a dictionary (for example,
to erase the predefined weights from the supplied English dictionary, so
that you can train it on your own writing style). You can use the
predictive-reset-weight command for this purpose
(see Creating Dictionaries).
Note that all the learning commands (even the “fast” ones!) can take a
long time to run.
- Learns weights for words in a dictionary from text in a buffer. If no
explicit dictionary is specified, this learns word weights for all
dictionaries used by the current buffer (see Loading and Saving Dictionaries). Each occurrence of a word increments its weight in the
dictionary. By default, only occurrences that occur in a region where
the dictionary is active are counted (see Region-Local Dictionaries). If an explicit dictionary is specified, this can be
overridden by supplying a prefix argument, in which case all occurrences
are counted, irrespective of whether the dictionary is active at the
word occurrence. Note that you cannot use this command to add
words to a dictionary, only to train the weights of words already in a
dictionary (see predictive-fast-learn-or-add-from-buffer,
- Like predictive-learn-from-buffer, but learns from a file
instead of a buffer.
- Similar to predictive-learn-from-buffer. It runs faster for
large dictionaries, at the expense of missing some words. Specifically,
only words consisting entirely of word- or symbol-constituent characters
(according to the buffer's syntax table) will be taken into
account. Also, unlike predictive-learn-from-buffer, this
command takes into account the setting of the
predictive-auto-add-to-dict option. If an explicit dictionary is
specified, words that are not already in the dictionary will be added to
it if predictive-auto-add-to-dict has any non-nil value. If no
explicit dictionary is specified, predictive-auto-add-to-dict has
the usual effect, as do the other auto-add-related options
(see Automatic Learning).
- Like predictive-fast-learn-or-add-from-buffer, but learns
from a file instead of a buffer.