dot-wp_tokenize_single_string: Tokenize an Input Word-by-word
In wordpiece: R Implementation of Wordpiece Tokenization
.wp_tokenize_single_string R Documentation
Tokenize an Input Word-by-word
Description
Tokenize an Input Word-by-word
Usage
.wp_tokenize_single_string(words, vocab, unk_token, max_chars)
Arguments
words
Character; a vector of words (generated by space-tokenizing a
single input).
vocab
Character vector of vocabulary tokens. The tokens are assumed to
be in order of index, with the first index taken as zero to be compatible
with Python implementations.
unk_token
Token to represent unknown words.
max_chars
Maximum length of word recognized.
Value
A named integer vector of tokenized words.
wordpiece documentation built on March 18, 2022, 5:55 p.m.
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| .wp_tokenize_single_string | R Documentation |
Tokenize an Input Word-by-word
Description
Tokenize an Input Word-by-word
Usage
.wp_tokenize_single_string(words, vocab, unk_token, max_chars)
Arguments
words |
Character; a vector of words (generated by space-tokenizing a single input). |
vocab |
Character vector of vocabulary tokens. The tokens are assumed to be in order of index, with the first index taken as zero to be compatible with Python implementations. |
unk_token |
Token to represent unknown words. |
max_chars |
Maximum length of word recognized. |
Value
A named integer vector of tokenized words.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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