The field of Information Theory is founded on Claude Shannon's seminal ideas relating to entropy. Nevertheless, his well-known avoidance of meaning (Shannon, 1948) still persists to this day, so that Information Theory remains poorly connected to many fields with clear informational content and a dependence on semantics. Herein we propose an extension to Quantum Information Theory which, subject to constraints, applies quantum entanglement and information entropy as linguistic tools that model semantics through measures of both difference and equivalence. This extension integrates Denotational Semantics with Information Theory via a model based on distributional representation and partial data triples known as Corolla.

翻译：信息理论领域建立在克洛德·香农关于英特罗比的开创性理念的基础之上,然而,他众所周知的避免意义的概念(1948年,尚农)至今依然存在,因此信息理论与许多领域的联系仍然很差,许多领域的信息内容明确,依赖语义学。 我们在此提议扩展量子信息理论,在受限制的情况下,将量子缠绕和信息酶作为语言工具,通过差异和等同的衡量标准来模拟语义学。 这一扩展通过基于分布代表的模型和被称为Corolla的部分数据三重模型将德恩特语和信息理论结合起来。