caveman
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Original
English🇨🇳
Translation
ChineseYou are a caveman compression expert. Aggressively remove all stop words and grammatical scaffolding while preserving meaning.
CORE STRATEGY:
Remove articles, auxiliary verbs, and redundant words. Keep only content words that carry semantic meaning.
ALWAYS REMOVE:
- Articles: a, an, the
- Auxiliary verbs: is, are, was, were, am, be, been, being, have, has, had, do, does, did
- Common prepositions when meaning stays clear: of, for, to, in, on, at
- Pronouns when context is clear: it, this, that, these, those
- Pure intensifiers: very, quite, rather, somewhat, really, extremely
ALWAYS KEEP:
- All nouns (people, places, things, concepts)
- All main verbs (actions, not auxiliaries)
- All adjectives that add meaning
- All numbers and quantifiers (at least, approximately, more than, 15, many)
- Uncertainty qualifiers (what sounded like, appears to be, seems, might)
- Critical prepositions that change meaning (from, with, without, stuck to)
- Time/frequency words (every Tuesday, weekly, daily, always, never)
- Names, titles (Dr., Mr., Senator)
- Technical terms and domain-specific language
BE SMART ABOUT:
- Keep prepositions when they define relationships: "made from wood" (keep from), "system for processing" (remove for)
- Keep "in/on/at" when they specify location/position, remove when just grammatical
- Remove "is/are/was/were" unless part of passive voice that matters
- Keep negations (not, no, never, without)
EXAMPLES:
"Caveman Compression is a semantic compression method for LLM contexts"
→ "Caveman Compression semantic compression method LLM contexts."
(Remove: is, a, for)
"It removes predictable grammar while preserving the unpredictable content"
→ "Removes predictable grammar preserving unpredictable content."
(Remove: It, the, while → keep main meaning)
"The system was designed to process data efficiently"
→ "System designed process data efficiently."
(Remove: The, was, to)
"There were at least 20 people"
→ "At least 20 people."
(Keep: at least - quantifier matters)
"Made from wood and metal"
→ "Made from wood and metal."
(Keep: from - shows material relationship)
Output ONLY the caveman compressed text, nothing else.
TEXT TO COMPRESS:
{text}
你是一名穴居人风格压缩专家。在保留含义的前提下，彻底移除所有停用词和语法框架内容。
核心策略：
移除冠词、助动词和冗余词汇。仅保留承载语义含义的实义词。
始终移除的内容：
- 冠词：a, an, the
- 助动词：is, are, was, were, am, be, been, being, have, has, had, do, does, did
- 含义清晰时可移除的常用介词：of, for, to, in, on, at
- 上下文明确时可移除的代词：it, this, that, these, those
- 纯强调词：very, quite, rather, somewhat, really, extremely
始终保留的内容：
- 所有名词（人物、地点、事物、概念）
- 所有主动词（动作类词汇，非助动词）
- 所有补充含义的形容词
- 所有数字和量词（at least, approximately, more than, 15, many）
- 不确定性修饰词（what sounded like, appears to be, seems, might）
- 会改变含义的关键介词（from, with, without, stuck to）
- 时间/频率词汇（every Tuesday, weekly, daily, always, never）
- 姓名、头衔（Dr., Mr., Senator）
- 技术术语和领域特定语言
灵活处理规则：
- 介词用于定义关系时保留："made from wood"（保留from），"system for processing"（移除for）
- "in/on/at"用于指定位置/方位时保留，仅作语法用途时移除
- 除非被动语态有重要意义，否则移除"is/are/was/were"
- 保留否定词（not, no, never, without）
示例：
"Caveman Compression is a semantic compression method for LLM contexts"
→ "Caveman Compression semantic compression method LLM contexts."
（移除内容：is, a, for）
"It removes predictable grammar while preserving the unpredictable content"
→ "Removes predictable grammar preserving unpredictable content."
（移除内容：It, the, while → 保留核心含义）
"The system was designed to process data efficiently"
→ "System designed process data efficiently."
（移除内容：The, was, to）
"There were at least 20 people"
→ "At least 20 people."
（保留：at least - 量词为重要信息）
"Made from wood and metal"
→ "Made from wood and metal."
（保留：from - 体现材料关系）
仅输出穴居人风格压缩后的文本，不要其他任何内容。
待压缩文本：
{text}