A corpus of Persian literary text

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Language Resources and Evaluation Pub Date : 2023-11-23 DOI:10.1007/s10579-023-09689-6
Shahab Raji, Malihe Alikhani, Gerard de Melo, Matthew Stone
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Abstract

Persian poetry has profoundly affected all periods of Persian literature and the literature of other countries as well. It is a fundamental vehicle for expressing Persian culture and political opinion. This paper presents a corpus of Persian literary text mainly focusing on poetry, covering the ninth to twenty-first century annotated for century and style, with additional partial annotation of rhetorical figures. Our resource is the largest and the most diverse corpus available in Persian literary text, with a particularly broad temporal scope. This allows us to conduct several computational experiments to analyze poetic styles, authors and time periods, as well as context shifts over time, for which we rely both on supervised models and on Persian poetry-specific heuristics. The corpus, the tools, and experiments described in this paper can be used not only for digital humanities studies of Persian literature but also for processing Persian texts in general, as well as in other broader cross-linguistic applications.

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波斯文学文本的文集
波斯诗歌深刻地影响了波斯文学的各个时期以及其他国家的文学。它是表达波斯文化和政治观点的基本工具。本文介绍了一个主要以诗歌为主题的波斯文学文本语料库,涵盖了9世纪至21世纪,对世纪和风格进行了注释,并对修辞手法进行了部分注释。我们的资源是波斯语文学文本中最大和最多样化的语料库,具有特别广泛的时间范围。这使我们能够进行几个计算实验来分析诗歌的风格、作者和时期,以及随着时间的推移上下文的变化,为此我们既依赖于监督模型,也依赖于波斯诗歌特定的启发式。本文中描述的语料库、工具和实验不仅可以用于波斯文学的数字人文研究,还可以用于处理一般的波斯文本,以及其他更广泛的跨语言应用。
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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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