Creating a richly annotated corpus of papyrological Greek: The possibilities of natural language processing approaches to a highly inflected historical language.
This article describes a first attempt to annotate the full Greek papyrus corpus automatically for linguistic information. It gives an overview of existing work on Ancient Greek and analyzes the typical problems one encounters when using natural language processing techniques on (1) a historical cor...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 1; pp. 67 - 83 |
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| Formato: | Artículo |
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Oxford University Press / USA
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=142636789&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 142636789 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2020 vid: 35 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 142636789 10.1093/llc/fqz004 ppf: 67 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 242KB tig: atl: Creating a richly annotated corpus of papyrological Greek: The possibilities of natural language processing approaches to a highly inflected historical language. aug: au: Keersmaekers, Alek affil: KU Leuven, Belgium su: Corpora Parsing (Computer grammar) Greeks Natural language processing sug: subj: Corpora Parsing (Computer grammar) Greeks Natural language processing ab: This article describes a first attempt to annotate the full Greek papyrus corpus automatically for linguistic information. It gives an overview of existing work on Ancient Greek and analyzes the typical problems one encounters when using natural language processing techniques on (1) a historical corpus of (2) a highly inflectional language (as opposed to the more analytic present-day English) and offers solutions to them, testing several different approaches. The focus is on part-of-speech/morphological tagging and lemmatization; some syntactic parsing experiments are also briefly discussed. The conclusion discusses the strengths and shortcomings of the examined techniques and suggests possible ways to further improve tagging and parsing accuracy. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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