Dānapāla or Shihu (died 1017) was an Indian Buddhist monk and prolific translator of Sanskrit Buddhist sutras during the Song dynasty in China.
Dānapāla or Shihu (died 1017) was an Indian Buddhist monk and prolific translator of Sanskrit Buddhist sutras during the Song dynasty in China.
==Life== A native of Oddiyana, he was a Vajrayana monk at Oddiyana's Vaijayanta Saṁghārama before arriving with his brother Devaśāntika in the Song dynasty capital Bianjing (now called Kaifeng) in 980 CE. Emperor Song Taizong wanted the translation of more Indian Buddhist sutras. However, he was unsure about Dānapāla, Devaśāntika, and Dharmadeva's translation abilities. He then invited them to the Imperial Palace and tested their translation abilities with Sanskrit sutras kept at his palace. As they were all bilingual in Chinese and Sanskrit, the three satisfied Emperor Song Taizong's translation expectations. He then built a new translation bureau in 982 CE, called the "Institute for the Translation of Sutras" on the western side of the Taiping Xingguo Monastery. The emperor also bestowed honorary purple robes to Dānapāla and cohorts. The emperor bestowed the honorary title 'Great Master of the Manifested Teaching' on Dānapāla. Dānapāla was assigned as one of the key translators of the newly founded Institute. Along with his cohorts, he thus restarted translation of Sanskrit Buddhist texts in China after a 170-year hiatus. Devaśāntika and Dharmadeva, the two other chief translators at the Institute, died in 1000 CE and 1001 CE respectively. He became the only chief Indian translator left at the Institute with only the assistance of Wei Jing (惟淨), a Chinese monk trained in Sanskrit at the Institute. It was not until 1006 with the arrival of Dharmapāla that he had another Indian translator to assist him in his work. Altogether he translated over 100 sutras, sastras and stotras, greatly contributing to the Chinese understanding of Vajrayana Buddhism and its popularization.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).