dot-wp_tokenize_word: Tokenize a Word
In wordpiece: R Implementation of Wordpiece Tokenization
.wp_tokenize_word R Documentation
Tokenize a Word
Description
Tokenize a single "word" (no whitespace). The word can technically contain
punctuation, but in BERT's tokenization, punctuation has been split out by
this point.
Usage
.wp_tokenize_word(word, vocab, unk_token = "[UNK]", max_chars = 100)
Arguments
word
Word to tokenize.
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
Input word as a list of tokens.
wordpiece documentation built on March 18, 2022, 5:55 p.m.
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| .wp_tokenize_word | R Documentation |
Tokenize a Word
Description
Tokenize a single "word" (no whitespace). The word can technically contain punctuation, but in BERT's tokenization, punctuation has been split out by this point.
Usage
.wp_tokenize_word(word, vocab, unk_token = "[UNK]", max_chars = 100)
Arguments
word |
Word to tokenize. |
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
Input word as a list of tokens.
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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