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  Partner: UNT College of Information
 Language: Chinese
Metadata Records Translation: The Case of The Portal to Texas History
Article discussing metadata records and 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. digital.library.unt.edu/ark:/67531/metadc96820/