TEl Analytics: converting documents into a TEl format for cross-collection text analysis.
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| Title: | TEl Analytics: converting documents into a TEl format for cross-collection text analysis. |
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| Authors: | Pytlik Zilhig, Brian L.1 bzilligl@unl.edu |
| Source: | Literary & Linguistic Computing. Jun2009, Vol. 24 Issue 2, p187-192. 6p. |
| Subjects: | Text Encoding Initiative (Document type definition), File conversion (Computer science), XML (Extensible Markup Language), SGML (Document markup language), Document markup languages, Internetworking, Metadata, Humanities |
| Abstract: | For the purposes of large-scale analysis of XML/SGML files, converting humanities texts into a common form of markup represents a technical challenge. The MONK (Metadata Offer New Knowledge) Project has developed both a common format, TEl Analytics (a TEl subset designed to facilitate interoperability of text archives) and a command-line tool, Abbot, that performs the conversion. Abbot relies upon a new technique, schema harvesting, developed by the author to convert text documents into TEl-A. This article has two aims: first, to describe the TEl-A format itself and, second, to outline the methods used to convert files. More generally, it is hoped that the techniques described will lead to greater interoperability of text documents for text analysis in a wider context. [ABSTRACT FROM AUTHOR] |
| Copyright of Literary & Linguistic Computing is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 42008286 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/llc/fqp005 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 187 Subjects: – SubjectFull: Text Encoding Initiative (Document type definition) Type: general – SubjectFull: File conversion (Computer science) Type: general – SubjectFull: XML (Extensible Markup Language) Type: general – SubjectFull: SGML (Document markup language) Type: general – SubjectFull: Document markup languages Type: general – SubjectFull: Internetworking Type: general – SubjectFull: Metadata Type: general – SubjectFull: Humanities Type: general Titles: – TitleFull: TEl Analytics: converting documents into a TEl format for cross-collection text analysis. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pytlik Zilhig, Brian L. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2009 Type: published Y: 2009 Identifiers: – Type: issn-print Value: 02681145 Numbering: – Type: volume Value: 24 – Type: issue Value: 2 Titles: – TitleFull: Literary & Linguistic Computing Type: main |
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