Name:
Osorio et al 2019 - Translating ...
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652.6Kb
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Final Accepted Manuscript
Publisher
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDCitation
Osorio, J., Pavon, V., Salam, S., Holmes, J., Brandt, P. T., & Khan, L. (2019). Translating CAMEO verbs for automated coding of event data. International Interactions, 1-16.Journal
INTERNATIONAL INTERACTIONSRights
© 2019 Taylor & Francis Group, LLC.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The Conflict and Mediation Event Observations (CAMEO) framework is the industry standard for computerized event coding that produces massive data on political conflict at a global scale. However, despite their focus on conflict in foreign locations, most coding efforts have the limitation of exclusively relying on text written in English. This paper advances the frontier of computerized event coding by presenting the CAMEO Verb Translation Application (VTA), a new technology to enable the translation of CAMEO verb dictionaries into non-English languages. CAMEO VTA integrates automated translation with human-in-the-loop features to increase the validity of the translation task. This development opens the possibility of expanding the leverage of CAMEO in a systematic and efficient manner. The first application of this tool focuses on translating CAMEO into Spanish.Note
18 month embargo; published online: 01 Jul 2019ISSN
0305-0629EISSN
1547-7444Version
Final accepted manuscriptSponsors
National Science Foundation [SBE-SMA-1539302]ae974a485f413a2113503eed53cd6c53
10.1080/03050629.2019.1632304