cnlp_init_stringi

This function must be run before annotating text with
the tokenizers backend.

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, or two Python back ends with 'spaCy'
<https://spacy.io> or 'CoreNLP' <https://stanfordnlp.github.io/CoreNLP/>.
Exposed annotation tasks include tokenization, part of speech tagging, named
entity recognition, and dependency parsing.

Taylor Arnold

cleanNLP

A Tidy Data Model for Natural Language Processing

Taylor B. Arnold

cnlp_init_stringi function

<dl><dt>locale</dt>
<dd>string giving the locale name to
pass to the stringi functions. If
<code>NULL</code>, the default locale is
selected</dd>
<dt>include_spaces</dt>
<dd>logical. Should spaces be included as tokens in
the output. Defaults to FALSE</dd></dl>

Arguments

Taylor B. Arnold, <a href="/link/taylor.arnold%40acm.org?package=cleanNLP&version=3.0.3" data-mini-rdoc="cleanNLP::taylor.arnold@acm.org">taylor.arnold@acm.org</a>

Author

Interface for initializing the standard R backend — cnlp_init_stringi

<dl>

<dt>locale</dt>
<dd>string giving the locale name to
pass to the stringi functions. If
<code>NULL</code>, the default locale is
selected</dd>


<dt>include_spaces</dt>
<dd>logical. Should spaces be included as tokens in
the output. Defaults to FALSE</dd>

</dl>

Taylor B. Arnold, <a href='mailto:taylor.arnold@acm.org'>taylor.arnold@acm.org</a>

cnlp_init_stringi: Interface for initializing the standard R backend

Description

Usage

Arguments

Author

Examples