Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)

IF 0.3 0 LANGUAGE & LINGUISTICS Revista de Linguistica y Lenguas Aplicadas Pub Date : 2022-07-28 DOI:10.4995/rlyla.2022.16132
Roberto Torre Alonso
{"title":"Advances in the automatic lemmatization of Old English: class V strong verbs (L-Y)","authors":"Roberto Torre Alonso","doi":"10.4995/rlyla.2022.16132","DOIUrl":null,"url":null,"abstract":"The grammatical description of Old English lacks complete and systematic lemmatization, which hinders Natural Language Processing studies in this language, as they strongly rely on the existence of large, annotated corpora. Moreover, the inflectional features of Old English preclude token-based automatic lemmatization. Therefore, specifically goal-oriented applications must be developed to account for the automatic lemmatization of specific variable categories. This article designs an automatic lemmatizer within the framework of Morphological Generation to address the type-based lemmatization of Old English class V strong verbs (L-Y). The lemmatizer is implemented with rules that account for inflectional, derivational and morphophonological variation. The generated forms are compared with the most relevant corpora of Old English for validation before being assigned a lemma. The lemmatizer is successful in supplying form-lemma associations not yet accounted for in the literature, and in identifying mismatches and areas for manual revision.","PeriodicalId":42090,"journal":{"name":"Revista de Linguistica y Lenguas Aplicadas","volume":null,"pages":null},"PeriodicalIF":0.3000,"publicationDate":"2022-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Revista de Linguistica y Lenguas Aplicadas","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4995/rlyla.2022.16132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 1

Abstract

The grammatical description of Old English lacks complete and systematic lemmatization, which hinders Natural Language Processing studies in this language, as they strongly rely on the existence of large, annotated corpora. Moreover, the inflectional features of Old English preclude token-based automatic lemmatization. Therefore, specifically goal-oriented applications must be developed to account for the automatic lemmatization of specific variable categories. This article designs an automatic lemmatizer within the framework of Morphological Generation to address the type-based lemmatization of Old English class V strong verbs (L-Y). The lemmatizer is implemented with rules that account for inflectional, derivational and morphophonological variation. The generated forms are compared with the most relevant corpora of Old English for validation before being assigned a lemma. The lemmatizer is successful in supplying form-lemma associations not yet accounted for in the literature, and in identifying mismatches and areas for manual revision.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
古英语自动旅语化研究进展——Ⅴ类强动词(L-Y)
古英语的语法描述缺乏完整和系统的旅语化,这阻碍了该语言的自然语言处理研究,因为它们强烈依赖于大型注释语料库的存在。此外,古英语的屈折特征排除了基于表征的自动旅语化。因此,必须开发专门面向目标的应用程序,以解决特定变量类别的自动旅名化问题。本文在形态生成的框架下设计了一个自动变位器,以解决古英语第五类强动词(L-Y)基于类型的变位问题。变位器是用规则来实现的,这些规则解释了屈折、派生和形态语音的变化。在分配引理之前,将生成的形式与最相关的古英语语料库进行比较以进行验证。引理器成功地提供了文献中尚未解释的形式引理关联,并识别了不匹配和需要手动修改的区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
0.50
自引率
25.00%
发文量
11
审稿时长
30 weeks
期刊介绍: The Revista de Lingüística y Lenguas Aplicadas aims to contribute to thedissemination of scholarly research in the field of language study, especially thatof specialised languages. Whether from a theoretical or a practical perspective,contributions discussing any of the following areas are of particular interest: Discourse Analysis Language Teaching Terminology and Translation Languages for Specific Purposes (LSP) Computer-Assisted Language Learning (CALL) Its a peer-review yearly journal of linguistic studies, designed to target an international readership and to contribute to the promotion of knowledge regarding applied linguistics.
期刊最新文献
Procesos de patrimonialización y creación de la identidad nacional El Aktionsart de pacientes con Alzhéimer: un análisis de corpus desde la Gramática del Papel y la Referencia Mapping the mental lexicon of EFL learners On experimental lexical production in Spanish as L1 and L2. Book review: Álvarez-Gil, F. J. (2022). Stance devices in tourism-related research articles: A corpus-based study
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1