… In this case, one can equivalently think of noiseless channel encoding as compression. Thus…
tokenization functions as if our goal is to use them to communicate over a noiseless channel…

… for evaluating a tokenizer: for NLP tasks, the tokenizer which leads to the … tokenization
scheme that Rényi efficiency alone cannot capture. We describe two variants of BPE tokenization …

… for evaluating a tokenizer: for NLP tasks, the tokenizer which leads to the … tokenization
scheme that Rényi efficiency alone cannot capture. We describe two variants of BPE tokenization …

… tokenization. To examine which other factors play a role, we evaluate design decisions across
all three phases of tokenization: pre-tokenization… of tokenization, we consider tokenization …

… With the addition of tokenization, however, we empirically observe that transformers break …
by transformers with and without tokenization. With the appropriate tokenization, we show that …

… for representing and analyzing tokenization models and establish various results for the
use of tokenizers, including the necessary and sufficient conditions for a tokenizer model to …

… With the addition of tokenization, however, we empirically observe that transformers break …
by transformers with and without tokenization. With the appropriate tokenization, we show that …

… tokenization and language models setup in our paper. We then describe the next-character
sampling bias problem due to tokenization… constructed using any tokenization algorithm such …

… a destination over noiseless and charactererasure channels. We … occurs over a noiseless
channel, the threshold policy … embedding vector for the jth tokenized word of lth input sequence …

… tokenization … tokenizer, that alignment of word segments to morphological gold-standard
segmentations is a predictor of the ability of a language model that uses the given tokenizer to …