Words and Tokens¶
Jurafsky, D., & Martin, J. H. (2026). Words and Tokens. Speech and Language Processing.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Type–Token Distinction
- Segment by character rather than by word and the same string yields seventeen letter occurrences over nine forms, or twenty-two over ten if the spaces are counted too.
This sourceStates that whether a capitalized and an uncapitalized string count as the same word type depends on the task, so the type count over a fixed text moves with the criterion while the count of running words does not.
- Segment by character rather than by word and the same string yields seventeen letter occurrences over nine forms, or twenty-two over ten if the spaces are counted too.
Verification¶
Does it exist? Not checked yet. This entry carries no identifier to resolve. It was extracted from the citation as written in the article, normalized, and deduplicated against the rest of the registry.
Does it back the claim? Not recorded. The single citation of this work carries no recorded support check.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Registry ID ref:35198717d21f · see in the full table