为研究拉丁语语料库中的模态而进行多层语义标注和标注模式正规化

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Language Resources and Evaluation Pub Date : 2024-01-06 DOI:10.1007/s10579-023-09706-8
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引用次数: 0

摘要

摘要 本文源自 "一个充满可能性的世界 "项目。该项目采用基于语料库的方法研究拉丁语历史中的模态。语言注释,特别是模态的语义注释是该项目的关键。除了任何处理语义的注释任务都会遇到的固有困难之外,我们的注释方案还涉及相互关联的多层注释,从而增加了任务的复杂性。考虑到细粒度语义标注的复杂性,我们需要开发记录完备的模式,以便控制标注的一致性,同时还能有效地重复使用我们标注的语料库。本文介绍了注释任务中涉及的不同要素,以及如何将模式语言与 XML 文档相结合,对不同语言成分之间的描述和关系进行形式化和文档化。
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Multi-layered semantic annotation and the formalisation of annotation schemas for the investigation of modality in a Latin corpus

Abstract

This paper stems from the project A World of Possibilities. Modal pathways over an extra-long period of time: the diachrony of modality in the Latin language (WoPoss) which involves a corpus-based approach to the study of modality in the history of the Latin language. Linguistic annotation and, in particular, the semantic annotation of modality is a keystone of the project. Besides the difficulties intrinsic to any annotation task dealing with semantics, our annotation scheme involves multiple layers of annotation that are interconnected, adding complexity to the task. Considering the intricacies of our fine-grained semantic annotation, we needed to develop well-documented schemas in order to control the consistency of the annotation, but also to enable an efficient reuse of our annotated corpus. This paper presents the different elements involved in the annotation task, and how the description and the relations between the different linguistic components were formalised and documented, combining schema languages with XML documentation.

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来源期刊
Language Resources and Evaluation
Language Resources and Evaluation 工程技术-计算机:跨学科应用
CiteScore
6.50
自引率
3.70%
发文量
55
审稿时长
>12 weeks
期刊介绍: Language Resources and Evaluation is the first publication devoted to the acquisition, creation, annotation, and use of language resources, together with methods for evaluation of resources, technologies, and applications. Language resources include language data and descriptions in machine readable form used to assist and augment language processing applications, such as written or spoken corpora and lexica, multimodal resources, grammars, terminology or domain specific databases and dictionaries, ontologies, multimedia databases, etc., as well as basic software tools for their acquisition, preparation, annotation, management, customization, and use. Evaluation of language resources concerns assessing the state-of-the-art for a given technology, comparing different approaches to a given problem, assessing the availability of resources and technologies for a given application, benchmarking, and assessing system usability and user satisfaction.
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