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PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
CitationOsorio, 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.
Rights© 2019 Taylor & Francis Group, LLC
Collection InformationThis 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 firstname.lastname@example.org.
AbstractThe 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.
Note18 month embargo; published online: 01 Jul 2019
VersionFinal accepted manuscript
SponsorsNational Science Foundation [SBE-SMA-1539302]