Creator: Chen, Jiangping; Ding, Ren & Jiang, Shan
Description: This article discusses metadata records translation. Abstract: In this paper, performance of online translation systems including Google, Systran and Bing on translating metadata records derived from the digital library- Portal to Texas History- is manually evaluated using four measures: Fluency, Adequacy, Incorrect Translation, and Missing Translation. The authors propose exploring multi-engine machine translation for improving the quality of translation and point out three possible strategies of implementing multilingual information access in digital libraries applying machine translation of metadata records.
Contributing Partner: UNT College of Information