cnlp_download_udpipe

string giving the model namel.
Defaults to "english" if NULL.

model_name

where should be model be downloaded to. If
set to NULL, will be downloaded in the location
that the cleanNLP package is installed.

model_loc

The cleanNLP package does not supply the model files required
for using the udpipe backend. These files can be downloaded
with this function. The models are saved, by default, in the
location where the package is installed. They will be saved
between R sessions. This function is called internally by
<code><a rd-options="" href="/link/cnlp_init_udpipe?package=cleanNLP&version=2.3.0" data-mini-rdoc="cleanNLP::cnlp_init_udpipe">cnlp_init_udpipe</a></code> if a model is not available.

Provides a set of fast tools for converting a textual corpus into a set of normalized
tables. Users may make use of the 'udpipe' back end with no external dependencies, a Python back
end with 'spaCy' <https://spacy.io> or the Java back end 'CoreNLP'
<http://stanfordnlp.github.io/CoreNLP/>. Exposed annotation tasks include
tokenization, part of speech tagging, named entity recognition, entity linking, sentiment
analysis, dependency parsing, coreference resolution, and word embeddings. Summary
statistics regarding token unigram, part of speech tag, and dependency type frequencies
are also included to assist with analyses.

Taylor Arnold

cleanNLP

A Tidy Data Model for Natural Language Processing

Taylor B. Arnold

cnlp_download_udpipe function

The cleanNLP package does not supply the model files required
for using the udpipe backend. These files can be downloaded
with this function. The models are saved, by default, in the
location where the package is installed. They will be saved
between R sessions. This function is called internally by
<code><a rd-options='' href='cnlp_init_udpipe'>cnlp_init_udpipe</a></code> if a model is not available.

cnlp_download_udpipe: Download model files needed for udpipe

Description

Usage

Arguments

Examples