Extraction and Annotation of ‘Location Names’

Kyriacopoulou, Tita; Martineau, Claude; Vartampetian, Markarit

doi:10.18485/infotheca.2019.19.2.1

Infotheca

2019

DOI: 10.18485/infotheca.2019.19.2.1

|View full text |Cite

Extraction and Annotation of ‘Location Names’

Tita Kyriacopoulou¹,

Claude Martineau²,

Markarit Vartampetian³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Other1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For a detailed discussion on automatic location identification and its challenges see also[Kyriacopoulou et al 2020] Manuscript submitted to ACM…”

mentioning

confidence: 99%

Digitization of the Serbian folk proverbs compiled by Vuk S. Karadžić

Bajčetić

Gmitrović

Španović

et al. 2021

Digital Humanities Workshop

View full text Add to dashboard Cite

This paper aims to present the digitization process of a very important piece of Serbian intangible cultural heritage, Српске народне пословице и друге различне као оне у обичаj узете риjечи (Engl. Serbian folk proverbs), compiled by Vuk Stefanović Karadžić during the first half of the 19th century. In the paper, we discuss the necessary steps in the digitization process, the challenges we had to deal with as well as the solutions we came up with. The goal of this process is to have a fully digitized, user-friendly version of Serbian folk proverbs, that will also easily integrate and be compatible with other digitized resources and/or multi-dictionary portals.CCS Concepts: • Applied computing → Extensible Markup Language (XML); Arts and humanities; Digital libraries and archives; Annotation.

show abstract

“…For a detailed discussion on automatic location identification and its challenges see also[Kyriacopoulou et al 2020] Manuscript submitted to ACM…”

mentioning

confidence: 99%

Digitization of the Serbian folk proverbs compiled by Vuk S. Karadžić

Bajčetić

Gmitrović

Španović

et al. 2021

Digital Humanities Workshop

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Extraction and Annotation of ‘Location Names’

Cited by 1 publication

References 0 publications

Digitization of the Serbian folk proverbs compiled by Vuk S. Karadžić

Digitization of the Serbian folk proverbs compiled by Vuk S. Karadžić

Contact Info

Product

Resources

About