ANNIS: A new architecture for generic corpus query and visualization.
This article is concerned with the data structures, properties of query languages, and visualization facilities required for the generic representation of richly annotated, heterogeneous linguistic corpora. We propose that above and beyond a general graph-based data model, which is becoming increasi...
| Publicado en: | Digital Scholarship in the Humanities Vol. 31; no. 1; pp. 118 - 140 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
4/1/2016
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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=114160250&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 114160250 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: 4/1/2016 vid: 31 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 114160250 10.1093/llc/fqu057 ppf: 118 ppct: 22 formats: fmt: @attributes: type: P size: 2MB tig: atl: ANNIS: A new architecture for generic corpus query and visualization. aug: au: Krause, Thomas Zeldes, Amir affil: Humboldt-Universität zu Berlin, Germany Georgetown University, USA su: Query languages (Computer science) Genericalness (Linguistics) Linguistics research Data visualization Digital humanities sug: subj: Query languages (Computer science) Genericalness (Linguistics) Linguistics research Data visualization Digital humanities ab: This article is concerned with the data structures, properties of query languages, and visualization facilities required for the generic representation of richly annotated, heterogeneous linguistic corpora. We propose that above and beyond a general graph-based data model, which is becoming increasingly popular in many complex annotation formats, a well-defined concept of multiple, potentially conflicting segmentation layers must be introduced to deal with different sources and applications of corpus data flexibly. We also propose a generic solution for specialized corpus visualizations in a Web interface using annotation-triggered style sheets, which leverage the power of modern browsers and CSS for multiple and highly customizable views of primary data. We offer an implementation and evaluation of our architecture in ANNIS3, an open-source browser-based architecture for corpus search and visualization. We present three case studies to test the coverage of the system, encompassing core linguistic and digital humanities use-cases including richly annotated newspaper treebanks, multilingual diplomatic and normalized manuscript materials edited in TEI, and analysis of multimodal recordings of spoken language. 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: 2016 holdings: @attributes: islocal: N |
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