The aim of the article is to present a new language resource for metaphor analysis in corpora that is (i) a MIPVU-inspired, morpheme-based process for identifying metaphor in Hungarian and (ii) the refinement and innovative version of metaphor identification extending the scope of the process to multi-word expressions. The elaboration of language-specific protocols in metaphor identification has become one of the central endeavors in contemporary cross-linguistic research on metaphor, but there is a gap in the field regarding languages with rich morphology, especially in the case of Hungarian. To fill this gap, we developed a hybrid, morpheme-based version of the original method, which can handle morphologically complex metaphorical expressions. Additional innovations of our protocol are the measurement and tagging of idiomaticity in metaphors based on collocation analysis and the identification of semantic relationships between the components of metaphorical expressions. The present paper discusses both the theoretical motivation and the practical details of the adapted method for metaphor identification. As a conclusion, the presented protocol can provide new answers to the questions of metaphor identification in languages with rich morphology and shed new light on the internal semantic organization of linguistic metaphors.

本文的目的是为语料库中的隐喻分析提供一种新的语言资源，它是 (i) 受 MIPVU 启发、基于语素的匈牙利语隐喻识别过程，以及 (ii) 隐喻识别的细化和创新版本，扩展了隐喻识别的范围。处理范围为多词表达。隐喻识别中特定语言协议的阐述已成为当代跨语言隐喻研究的核心工作之一，但该领域在形态丰富的语言方面还存在空白，尤其是匈牙利语。为了填补这一空白，我们开发了一种基于语素的混合版本的原始方法，它可以处理形态上复杂的隐喻表达。我们协议的其他创新是基于搭配分析的隐喻惯用性的测量和标记以及隐喻表达组件之间语义关系的识别。本文讨论了隐喻识别所采用的方法的理论动机和实践细节。总之，所提出的协议可以为具有丰富形态的语言中的隐喻识别问题提供新的答案，并为语言隐喻的内部语义组织提供新的线索。