info · Section 8: Punctuation and word count
Rule 8.7: Hyphenated words count as one word
A hyphenated group of words that functions as a single adjective before a noun, or as a compound technical noun built for clarity, counts as one word when counting sentence length — even though it is made of multiple hyphen-joined components.
What a checker looks for
Guidance rather than a pass-or-fail test.
- When counting sentence length, count each whitespace-delimited hyphenated group (e.g. 'soap-and-water', 'trial-and-error', 'cutoff-switch') as one word — not the number of hyphen-joined components inside it.
- When a phrase contains more than one whitespace-separated hyphenated group (e.g. 'main-gear-door retraction-winch handle'), count each group separately as one word each, not the whole phrase as a single word — this phrase is 3 words: 'main-gear-door' (1), 'retraction-winch' (1), 'handle' (1).
- Apply this both to hyphenated compounds functioning as adjectives before a noun and to hyphenated technical nouns constructed for clarity.
What this rule does not cover
- Do not confuse this word-counting rule with rule 8.2, which governs when a hyphen should be inserted in the first place — this rule only affects how an already-hyphenated group is counted.
How to fix it
When calculating sentence word count, treat each whitespace-delimited hyphenated word group as exactly one word; do not inflate the count by counting each hyphen-joined component separately, and do not collapse multiple separate hyphenated groups in one phrase into a single word count.
Constraints on the fix
- Do not remove a correctly placed hyphen (see rule 8.2) in order to manipulate the word count.
Examples
Not STE: Clean the surface with a solution of soap and water.
STE: Clean the surface with a soap-and-water solution.
Not STE: Use the method of trial and error.
STE: Use the trial-and-error method.
Compliant, and worth knowing why
Move the main-gear-door retraction-winch handle.
Related rules
Where this fits in AI governance
A rule a checker can test is a rule a model can be held to. The same discipline, on the governance side of this site.
- Testing AI systems
Word counting is specified precisely so that a length limit is a test rather than an opinion. - AI system monitoring and logging
Counted deviations per document, over time, are the monitoring metric this section makes possible. - Output validation guardrails
A controlled language is a checkable output constraint. This is the control that treats model output as something to be checked rather than trusted.
Source
ASD-STE100 Issue 9, Section 8 - Punctuation and word count, page 1-8-8.
This page is commentary and does not reproduce the standard. About this rule pack.