A preliminary evaluation of metadata records machine translation

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Article discussing a preliminary evaluation study of metadata records machine translation. This study evaluates freely available machine translation (MT) services' performance in translating metadata records.

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15 p.

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Chen, Jiangping; Ding, Ren; Jiang, Shan & Knudson, Ryan 2012.

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Article discussing a preliminary evaluation study of metadata records machine translation. This study evaluates freely available machine translation (MT) services' performance in translating metadata records.

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15 p.

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This is the preprint version of an article published in Electronic Library. This article is © Emerald Group Publishing and permission has been granted for this version to appear here. Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited.

Abstract: Purpose: The purpose of this study is to evaluate freely available machine translation (MT) services' performance in translating metadata records. Design/methodology/approach: Randomly selected metadata records were translated from English to Chinese using Google, Bing, and SYSTRAN MT systems. These translations were then evaluated using a five point scale for both fluency and adequacy. Missing count (words not translated) and incorrect count (words incorrectly translated) were also recorded. Findings: Concerning both fluency and adequacy, Google and Bing's translations of more than 70 percent of test data received scores equal to or greater than three, representative of "non-native Chinese" and "much coverage," respectively. SYSTRAN scored lowest in both measures. However, these differences were not statistically significant. A Pearson correlation analysis demonstrated a strong relationship (r=0.86) between fluency and adequacy. Missing count and incorrect count strongly correlated with fluency and adequacy. Originality/value: Most existing digital collections can be accessed in English alone. Few digital collections in the USA support multilingual information access (MLIA) that enables users of differing languagees to search, browse, recognize and use information in the collections. Human translation is one solution, but it is neither time nor cost effective for most libraries. This study serves as a first step to understand the performance of current MT systems and to design effective and efficient MLIA services for digital collections.

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  • The Electronic Library, 2012, Bingley: Emerald Group Publishing, pp. 264-277

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  • Publication Title: The Electronic Library
  • Volume: 30
  • Issue: 2
  • Page Start: 264
  • Page End: 277
  • Peer Reviewed: Yes

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UNT Scholarly Works

The Scholarly Works Collection is home to materials from the University of North Texas community's research, creative, and scholarly activities and serves as UNT's Open Access Repository. It brings together articles, papers, artwork, music, research data, reports, presentations, and other scholarly and creative products representing the expertise in our university community.** Access to some items in this collection may be restricted.**

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  • 2012

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  • Aug. 7, 2012, 1:52 p.m.

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  • April 2, 2015, 1:01 p.m.

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Chen, Jiangping; Ding, Ren; Jiang, Shan & Knudson, Ryan. A preliminary evaluation of metadata records machine translation, article, 2012; [Bingley, United Kingdom]. (digital.library.unt.edu/ark:/67531/metadc96821/: accessed March 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Information.