<![CDATA[This study aimed to measure the productivity of word-formation processes on travel agents Instagram captions using Baayen’s Potential Productivity (PP) formula. This study employed a descriptive quantitative approach through corpus-based analysis. The data were collected from Traveloka and Booking.com captions through documentation, note-taking & coding, and corpus. The data then analyzed using AntConc to identify hapax legomena and calculate the productivity of each process using Baayen’s PP formula. The findings revealed twelve word-formation processes in the corpus, with compounding emerging as the most productive process (PP = 0.154), followed by inflectional morphology (PP = 0.095) and derivational morphology (PP = 0.077). The dominance of compounding indicated that tourism discourse strongly relied on lexical combinations to create informative and attractive promotional expressions, followed by inflectional and derivational processes which contributed significantly by emphasizing tourism activities, experiences, and descriptive characteristics. In contrast, acronym & initialism, blending, cliticization, clipping, reduplication, coinage & eponym, suppletion, and onomatopoeia showed relatively low productivity. Furthermore, the findings demonstrated that the Booking.com corpus achieved a higher overall productivity value than Traveloka despite containing fewer tokens, suggesting a greater degree of lexical variation. Overall, the study showed that morphological productivity in tourism promotional discourse was strongly influenced by communicative and persuasive purposes in digital marketing contexts.]]>
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