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sentencepiece
View on CRAN: Click
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Download and install sentencepiece package within the R console
Install from CRAN:
install.packages("sentencepiece")
Install from Github:
library("remotes")
install_github("cran/sentencepiece")
Install by package version:
library("remotes")
install_version("sentencepiece", "0.2.3")
Attach the package and use:
library("sentencepiece")
Maintained by
Jan Wijffels
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-04
Latest Update: 2022-11-13
Description:
Unsupervised text tokenizer allowing to perform byte pair encoding and unigram modelling.
Wraps the 'sentencepiece' library which provides a language independent tokenizer to split text in words and smaller subword units.
The techniques are explained in the paper "SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing" by Taku Kudo and John Richardson (2018) .
Provides as well straightforward access to pretrained byte pair encoding models and subword embeddings trained on Wikipedia using 'word2vec',
as described in "BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages" by Benjamin Heinzerling and Michael Strube (2018) .
How to cite:
Jan Wijffels (2020). sentencepiece: Text Tokenization using Byte Pair Encoding and Unigram Modelling. R package version 0.2.3, https://cran.r-project.org/web/packages/sentencepiece
Previous versions and publish date:
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Other R packages that sentencepiece depends,
imports, suggests or enhances
Functions, R codes and Examples using
the sentencepiece R package
Some associated functions: BPEembed . BPEembedder . predict.BPEembed . read_word2vec . sentencepiece . sentencepiece_decode . sentencepiece_download_model . sentencepiece_encode . sentencepiece_load_model . txt_remove_ . wordpiece_encode .
Some associated R codes: AAA.R . RcppExports.R . bpemb.R . pkg.R . sentencepiece.R . utils.R . word2vec.R . wordpiece.R . Full sentencepiece package functions and examples
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