semantic-compression

// Aggressively remove grammatical scaffolding LLMs reconstruct while preserving meaning-carrying content. Output may be fragments. Use when compressing text for prompts, reducing token count, preparing context for LLM input, or making documentation more token-efficient. Applies LLM-aware compression r

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namesemantic-compression

descriptionAggressively remove grammatical scaffolding LLMs reconstruct while preserving meaning-carrying content. Output may be fragments. Use when compressing text for prompts, reducing token count, preparing context for LLM input, or making documentation more token-efficient. Applies LLM-aware compression rules that delete predictable grammar while preserving semantics.

Semantic Compression

LLMs reconstruct grammar from content words. Remove predictable glue; keep semantic payload. Prefer fragments over sentences.

Aggressive Stance

Output can be noun/verb stacks, list fragments, or label:value phrases.
Default to deletion; keep function words only when loss changes meaning.
Prefer base verb forms; drop tense/aspect unless timeline is critical.

Deletion Tiers

Tier 1 — Always delete (even if fragments):

Articles: a, an, the
Copulas: is, are, was, were, am, be, been, being
Expletive subjects: "There is/are...", "It is..."
Complementizer: that (as clause marker)
Pure intensifiers: very, quite, rather, really, extremely, somewhat
Filler phrases: "in order to" → to, "due to the fact that" → because, "in terms of" → delete
Infinitive "to" before verbs (unless it prevents noun/verb confusion)
Conjunctions when list/contrast obvious: and, or, but

Tier 2 — Delete unless meaning changes:

Auxiliary verbs: have/has/had, do/does/did, will/would (keep if tense/aspect matters)
Modal verbs: can/could/may/might/should (keep when obligation/permission/possibility is critical; always keep must/must not)
Pronouns: it/this/that/these/those/he/she/they (drop when referent obvious; replace with noun if ambiguous)
Relative pronouns: which, that, who, whom
Prepositions: of, for, to, in, on, at, by (keep for material, direction, agency, or disambiguation)

Tier 3 — Delete only if relation still clear:

Remaining prepositions: with/without, between/among, within, after/before, over/under, through (drop only if relation obvious)
Redundant adverbs: "shout loudly" → "shout"

Always Preserve

Nouns, main verbs, meaning-bearing adjectives/adverbs
Numbers, quantifiers: "at least 5", "approximately", "more than"
Uncertainty markers: "appears", "seems", "reportedly", "what sounded like"
Negation: not, no, never, without, none
Temporal markers: dates, frequencies, durations
Causality and conditionals: because, therefore, despite, although, if, unless
Requirements/permissions: must, required, prohibited, allowed
Proper nouns, titles, technical terms
Prepositions encoding relationships: from/to (direction), with/without (inclusion), between/among/within (relation), after/before (temporal), by (agent if passive)

Structural Compression

Passive → active when agent known: "was eaten by dog" → "dog ate"
Nominalization → verb: "made a decision" → "decided"
Drop implied subject when context allows: "System should log errors" → "Log errors"
Redundant pairs → single: "each and every" → "every"
Clause → modifier: "anomaly that was reported" → "reported anomaly"

Examples

Original	Compressed
The system was designed to efficiently process incoming data from multiple sources	System design: efficient process incoming data, multiple sources
There were at least 20 people who appeared to be waiting	At least 20 people apparent waiting
It is important to note that the medication should not be taken without food	Medication: should not take without food
The researcher made a decision to investigate the anomaly that was reported	Researcher decided: investigate reported anomaly