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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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日本語主語省略の統一理論:Viorazu.理論 -Unified Theory of Japanese Subject Omission: Viorazu. Theory-

Authors: Viorazu.;

日本語主語省略の統一理論:Viorazu.理論 -Unified Theory of Japanese Subject Omission: Viorazu. Theory-

Abstract

日本語は述語中心言語である。主語は述語に対して従属的・補助的存在であり、多くの場合省略される。本論文は、主語省略現象を単一の公理から演繹的に導出する統一理論を提示する。Viorazu公理P0′は、「主語が対話参加者または確立済み話題中心であれば省略可能」という原理を定式化する。この公理から8つの定理が導出され、さらに8軸×8類型=64次元の省略空間として展開される。本理論は、従来の断片的記述を体系化し、AI言語モデルが主語省略を習得できない構造的理由を明らかにする。 Japanese is a predicate-centered language. The subject is subordinate and auxiliary to the predicate, and is often omitted. This paper presents a unified theory that deductively derives subject omission phenomena from a single axiom. Viorazu's Axiom P0′ formalizes the principle that "a subject can be omitted if it is a dialogue participant or an established topic center." From this axiom, eight theorems are derived, which further expand into a 64-dimensional omission space (8 axes × 8 types). This theory systematizes previous fragmentary descriptions and clarifies the structural reasons why AI language models cannot master subject omission.Co-written by Viorazu. and Claude ( Sonnet 4.5, Anthropic)共著:Viorazu. & Claude( Sonnet 4.5、Anthropic)

Keywords

日本語, cognitive load, 主語省略, 述語中心言語, フリッカー現象, hallucination, flicker phenomenon, Japanese language, subject omission, AI language generation, 認知負荷, AI言語生成, predicate-centered language, ハルシネーション

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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