Scaling Indonesian Video-Text Data for Zero-Shot Cross-Lingual Video Captioning Transfer

Abstract

Abstract: This report synthesises findings from 4 peer-reviewed papers addressing the following research question: To what extent does scaling the number of Indonesian video-text training samples in MSVD-Indonesian affect the zero-shot cross-lingual transfer performance of Flamingo on non-Indonesian video. Multimodal learning on video and text has seen significant progress, particularly in tasks like text-to-video retrieval, video-to-text retrieval, and video captioning. However, most existing methods and datasets focus exclusively on English. 14 claims were extracted from source literature; 3 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 5.9/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research Question

To what extent does scaling the number of Indonesian video-text training samples in MSVD-Indonesian affect the zero-shot cross-lingual transfer performance of Flamingo on non-Indonesian video captioning benchmarks like Charades-Ego?

Verification Level

Descriptive public verification status only; aggregate claim counts are public, but individual claim records are not exposed here.

Quality Tier

Descriptive public triage only; this tier does not alter current publication or DOI behavior.

Quality Dimensions

Automated triage signals derived from public fields; not human peer review or independent validation.

Correction Record

Public corrections are additive records. Current status does not claim the synthesis is error-free.

Provenance