Inferential Mechanisms and their Linguistic Manifestation

本文以标准日语、标准韩语、英语和宫古琉球语的数据为基础，构建了一个日常语音推理模型，解释了证据推理的性质，并展示了溯因推理和证据推理的关系。我们研究了时态、空间表达和“伪用法”，阐明了推理在自然语言理解中的作用。我们利用关联理论研究了推理模型中涉及的推理的概率特性，并提出了一个计算模型，使我们能够给出指示性条件和反事实条件中信念强度的通用计算

Base on data in Standard Japanese, Standard Korean, English and Miyako Ryukyuan, we have constructed a model of the inference used in daily speech, explaining the properties of evidential inference, and showing the relationship between abductive and evidential inference. We studied tense, spatial expressions and' pseudo-usage' and clarified the role of inference in natural language understanding. We studied the probabilistic properties of inference involved in the inferential model using Relevance Theory and proposed a computational model that enables us to give a common computation for the strength of belief in indicative and counterfactual conditionals