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spacy_install()
and
spacy_uninstall()
functions to provide a more modern and
robust installation procedure.pip
in spacy_install()
and
spacy_upgrade()
.spacy_parse()
and
spacy_tokenize()
are now coerced to character
,
which allows them to work directly with quanteda v2
corpus objects (which are based on the character
class but
with special attributed), without special methods.spacy_parse(x, nounphrase = TRUE)
that
occurred when no noun phrases were found in the text. (#153)spacy_initialize()
(#157).
spacy_initialize()
ignored Python options supplied by users
when a conda environment created through spacy_install()
exists.spacy_tokenize()
,
spacy_extract_entity()
,
spacy_extract_nounphrases()
,
nounphrase_extract()
, and
nounphrase_consolidate()
for direct extraction of entities,
noun phrases, and tokens, and extraction of noun phrases from spacyr
parsed tests.additional_attributes
to
spacy_parse()
allowing the return of any tokens-level
attribute available from https://spacy.io/api/token#attributes.spacy_install()
,
spacy_install_virtualenv()
, and
spacy_upgrade()
to make installing or upgrading spaCy (and
Python itself) easy and automatic.spacy_parse()
via
the multithreading
argument. This uses the “pipes”
functionality in spaCy for improved performance..Rprofile
spacy_initialize(entity = FALSE)
(#91).bash_profile
.ask = FALSE
to spacy_initialize()
, to
find spaCy installations automatically.spacy_parse()
, by changing 1:length()
to
seq_along()
.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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