マルチリンガル・マルチモーダル機械学習モデルによるヴェーダ文献の対応関係の解明

• Project/Area Number: 25K21518
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 90020:Library and information science, humanistic and social informatics-related
• Research Institution: The University of Tokyo
• Principal Investigator: 塚越 柚季 東京大学, 大学院人文社会系研究科(文学部), 助教 (30981782)
• Project Period (FY): 2025-04-01 – 2030-03-31
• Project Status: Adopted (Fiscal Year 2025)
• Budget Amount: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000); Fiscal Year 2029: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2028: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2027: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2026: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000); Fiscal Year 2025: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)