Language Engineering for Computational Efficiency
A constructed language designed for optimal performance in large language model contexts while remaining learnable by humans.
Compared to English for equivalent content
Increase in effective context length
Lower computational costs for LLM processing
Discover how Sylang Prime is revolutionizing human-AI communication
Sylang Prime: Language Engineering for Computational Efficiency
sylang Prime represents a significant advancement in constructed language design, specifically engineered for optimal performance in large language model (LLM) contexts while remaining learnable by humans.
The language achieves an estimated 55-60% reduction in token usage compared to English for equivalent content, while preserving semantic precision and maintaining a learning curve accessible to motivated human users. These efficiencies translate directly into computational resource savings, reduced inference time, and expanded effective context windows for LLM applications.
Taru meruta karali. Karali doro-mi ja boni-mi. Taru pensa ko karali bonimi.Translation: The person spoke about the trees. The trees were big and beautiful. The person thought that the trees were good.
Maximum information density with minimum token usage through systematic morphology, optimized vocabulary, and elimination of redundancies.
Vocabulary and structures designed for ideal vector representation, with semantic relationships explicitly encoded in patterns.
Zero ambiguity for machine parsing through explicit markers, fixed structural patterns, and transparent compositional semantics.
Systematic learnability maintained through pattern regularity, cognitive alignment, and intuitive structural progression.
sylang is designed to be learnable by humans while optimizing for computational efficiency. The learning curve is accessible to motivated users, with a systematic approach to vocabulary and grammar.
View Documentationsylang lingua-va aglutinativa sistema-va, kelava morfemo uni-senso-mi. Lingua redukta token amunto-na per 50% komparo angli lingua-va.Translation: The sylang language is an agglutinative system, wherein each morpheme has a single meaning. The language reduces the number of tokens by 50% compared to the English language.
sylang Prime is the result of extensive research in computational linguistics, language design, and AI optimization. Our ongoing research continues to refine and expand the language.
sylang is being developed as an open-source project. Join our community to contribute to the development of the language, tools, and resources.
Coming Soon: Comprehensive corpus for LLM training