NEWS
kgrams 0.2.1 (2024-11-13)
- Added Suggests dependency from tibble (#32).
kgrams 0.2.0 (2023-10-06)
Breaking changes
tknz_sent() and preprocess() now have a different implementation on
Windows and UNIX OSs, respectively (since the previous C++ implementation has
impredictable behaviour on Windows, see #30). This fix also included minor
changes in the tknz_sent() output, in some corner cases (e.g. tknz_sent("")
now returns character(0), wheareas it used to return "").
New features
perplexity() gets a new argument exp that allows to return the
cross-entropy per word, rather than perplexity (its exponential).perplexity.character() gets a new argument detailed that allows to return, alongside with the total perplexity of the input document, also the
cross-entropies and word lengths of individual sentences. Closes #28.
Improvements
- Minor documentation improvements.
kgrams 0.1.5 (2023-04-18)
- Removed "Tools for..." at the beginning of package DESCRIPTION, as per CRAN's
request.
- Simplified examples in
?kgram_freqs.
kgrams 0.1.4
kgrams 0.1.3
- Remove dependency from external online sources in vignette.
kgrams 0.1.2 (2021-11-16)
Overall Software Improvements
- The package's test suite has been greatly extended.
- Improved error/warning conditions for wrong arguments.
- Re-enabled compiler diagnostics as per CRAN policy (#19)
API Changes
verbose arguments now default to FALSE.probability(), perplexity() and sample_sentences() are restricted to
accept only language_model class objects as their model argument.
New features
as_dictionary(NULL) now returns an empty dictionary.
Bug Fixes
- Fixed bug causing
.preprocess and .tknz_sent arguments to be ignored in process_sentences().
- Fixed previously wrong defaults for
max_lines and batch_size arguments in kgram_freqs.connection().
- Added print method for class
dictionary.
- Fixed bug causing invalid results in
dictionary() with batch processing and
non-trivial size constraints on vocabulary size.
Other
- Maintainer's email updated