{"title":"从手稿到标记语料库:古代亚美尼亚语或其他基督教东方资源不足语言的自动化过程","authors":"B. Kindt, Chahan Vidal-Gorène","doi":"10.30687/arm/9372-8175/2022/01/005","DOIUrl":null,"url":null,"abstract":"Creating a digital corpus enriched by full linguistic annotations is a work which classically integrates several manual steps of acquisition, processing, and data display. Processing presupposes the existence of dedicated and specialised analysis tools, adapted to the state of the language used in the corpus. This paper describes a semi-supervised process for building Armenian corpora from scanned documents. This method is based on a chain of applications pre-trained by Calfa and GREgORI and enabling the complete processing of texts, from their automated input to their linguistic analysis and data display. We provide an assessment of this methodology and benefits of model specialisation, based on digitised copies of a 17th-century manuscript of the Four Gospels (Walters MS W541 = BAL W541, Amida Gospels, ff. 113v-117r: Lk 1:1‑78).","PeriodicalId":6386,"journal":{"name":"«Проблемы прогнозирования» 2022 №1","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"From Manuscript to Tagged Corpora\\n An Automated Process for Ancient Armenian or Other Under-Resourced Languages of the Christian East\",\"authors\":\"B. Kindt, Chahan Vidal-Gorène\",\"doi\":\"10.30687/arm/9372-8175/2022/01/005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Creating a digital corpus enriched by full linguistic annotations is a work which classically integrates several manual steps of acquisition, processing, and data display. Processing presupposes the existence of dedicated and specialised analysis tools, adapted to the state of the language used in the corpus. This paper describes a semi-supervised process for building Armenian corpora from scanned documents. This method is based on a chain of applications pre-trained by Calfa and GREgORI and enabling the complete processing of texts, from their automated input to their linguistic analysis and data display. We provide an assessment of this methodology and benefits of model specialisation, based on digitised copies of a 17th-century manuscript of the Four Gospels (Walters MS W541 = BAL W541, Amida Gospels, ff. 113v-117r: Lk 1:1‑78).\",\"PeriodicalId\":6386,\"journal\":{\"name\":\"«Проблемы прогнозирования» 2022 №1\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"«Проблемы прогнозирования» 2022 №1\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30687/arm/9372-8175/2022/01/005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"«Проблемы прогнозирования» 2022 №1","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30687/arm/9372-8175/2022/01/005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
创建一个由完整的语言注释丰富的数字语料库是一项工作,它通常集成了几个手动步骤的获取,处理和数据显示。处理的前提是存在专门的和专门的分析工具,适应语料库中使用的语言状态。本文描述了从扫描文档中构建亚美尼亚语料库的半监督过程。该方法基于Calfa和GREgORI预先训练的一系列应用程序,可以对文本进行完整的处理,从自动输入到语言分析和数据显示。我们基于17世纪四福音书手稿(Walters MS W541 = BAL W541, Amida Gospels, ff)的数字化副本,对这种方法和模型专业化的好处进行了评估。(路1:1 - 78)。
From Manuscript to Tagged Corpora
An Automated Process for Ancient Armenian or Other Under-Resourced Languages of the Christian East
Creating a digital corpus enriched by full linguistic annotations is a work which classically integrates several manual steps of acquisition, processing, and data display. Processing presupposes the existence of dedicated and specialised analysis tools, adapted to the state of the language used in the corpus. This paper describes a semi-supervised process for building Armenian corpora from scanned documents. This method is based on a chain of applications pre-trained by Calfa and GREgORI and enabling the complete processing of texts, from their automated input to their linguistic analysis and data display. We provide an assessment of this methodology and benefits of model specialisation, based on digitised copies of a 17th-century manuscript of the Four Gospels (Walters MS W541 = BAL W541, Amida Gospels, ff. 113v-117r: Lk 1:1‑78).