Decomposing dependency analysis: revisiting the relation between annotation scheme and structure-based textual measures.
Standardized quantitative measurement of texts lies at the heart of digital approaches to humanities. Structure-based textual measures are known to be influenced by the choice of syntactic annotation schemes. Building on previous research, the present article further explores the relation between an...
| Publicado en: | Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 400 - 419 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Apr2025
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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=184296840&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 184296840 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2025 vid: 40 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 184296840 10.1093/llc/fqaf003 ppf: 400 ppct: 19 formats: fmt: – @attributes: type: T – @attributes: type: P size: 2.1MB tig: atl: Decomposing dependency analysis: revisiting the relation between annotation scheme and structure-based textual measures. aug: au: Yih, Tsy Liu, Haitao affil: School of Foreign Studies, Tongji University, Shanghai, 200092, China College of Foreign Languages and Literature, Fudan University, Shanghai, 200433, China su: Relative clauses Units of measurement Digital humanities Annotations Buds sug: subj: Relative clauses Units of measurement Digital humanities Annotations Buds keyword: annotation scheme enhanced dependencies mean dependency distance textual measures Universal Dependencies ab: Standardized quantitative measurement of texts lies at the heart of digital approaches to humanities. Structure-based textual measures are known to be influenced by the choice of syntactic annotation schemes. Building on previous research, the present article further explores the relation between annotation schemes and the index of mean dependency distance (MDD) by comparing the treebanks of seventeen languages, respectively, within a tree representation (basic universal dependencies, BUD) and within a graphic representation (enhanced universal dependencies, EUD). Following the idea of decomposing annotation schemes into the combinations of analyses of specific constructions (coordinate structures, control constructions, and relative clauses), we design algorithms to identify them in the CoNLL-U format treebanks and explore their influences. It is found that the overall MDD of the EUD representation is statistically higher than that of BUD at corpus level, primarily affected by the coordinate structure due to its high frequency. At sentence level, all three constructions might contribute to either increased or decreased MDD, with stochastically intervening words and word order being two important determinants of the values of the measure. Finally, we propose and argue for the view that MDDs calculated under different annotation schemes should be regarded as different textual measures in nature. In sum, the present study provides another case study to deepen our understanding of the nature of syntactic annotation schemes and its relation with textual indices, which paves the way for standard measurement of texts in future humanities research. 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: 2025 holdings: @attributes: islocal: N |
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