Study on an impersonal evaluation system for English-Chinese translation based on semantic understanding.
Human evaluations of translation are extensive but expensive. Human evaluations can take weeks to finish and involve human labor that cannot be reused. This paper proposes a method of automatic translation evaluation that is quick, inexpensive, and correlates highly with human evaluation. It uses na...
| Publicado en: | Perspectives: Studies in Translatology Vol. 22; no. 2; pp. 242 - 255 |
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| Autores principales: | , |
| Formato: | Artículo |
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Taylor & Francis Ltd
2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=94872813&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 94872813 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0907676X S2F jtl: Perspectives: Studies in Translatology issn: 0907676X maglogo: N pubinfo: dt: 2014 vid: 22 iid: 2 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 94872813 10.1080/0907676X.2012.733015 ppf: 242 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: P size: 227KB tig: atl: Study on an impersonal evaluation system for English-Chinese translation based on semantic understanding. aug: au: Ke, Xiaohua Ma, Qinghua affil: GDUFS, CISCO School of Informatics, Guangzhou, China su: Impersonality (Literature) Translating & interpreting Semantic differential technique Passive voice Cognitive consistency sug: subj: Impersonality (Literature) Translating & interpreting Semantic differential technique Passive voice Cognitive consistency keyword: impersonal scoring semantic understanding translation evaluation translation testing ab: Human evaluations of translation are extensive but expensive. Human evaluations can take weeks to finish and involve human labor that cannot be reused. This paper proposes a method of automatic translation evaluation that is quick, inexpensive, and correlates highly with human evaluation. It uses natural language processing techniques to extract linguistic features from translated sentences and to model human analytic ratings. We discuss the methodology, development, and reliability of this system. Then we describe main approaches, such as the segmentation of target text, the recognition of passive voice and negative tense, the assignment of weighting scheme for phrases based on their scarcity, and the calculation of the phrase- and sentence-level semantic similarity between candidates' translation and several reference ones. Statistical results show that compared to human judges, this method is manageable, fast, and can effectively simulate human translation evaluation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Perspectives: Studies in Translatology is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Perspectives: Studies in Translatology holder: Taylor & Francis Ltd dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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