Diachronic observation of lexical and syntactic patterns in English translations of Taiwan patent texts.
In recent years, artificial intelligence-based translation tools for patent documents have undergone rapid development. In 2016, the World Intellectual Property Organization and the European Patent Office successively launched neural machine translation technology. Increasing the volume of English t...
| Publicado en: | Perspectives: Studies in Translatology Vol. 29; no. 6; pp. 865 - 886 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
Dec 2021
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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=153935252&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 153935252 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0907676X S2F jtl: Perspectives: Studies in Translatology issn: 0907676X maglogo: N pubinfo: dt: Dec 2021 vid: 29 iid: 6 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 153935252 10.1080/0907676X.2020.1849325 ppf: 865 ppct: 21 formats: fmt: @attributes: type: P size: 2.4MB tig: atl: Diachronic observation of lexical and syntactic patterns in English translations of Taiwan patent texts. aug: au: Tsai, Yvonne affil: Department of Foreign Languages and Literatures, National Taiwan University, Taipei, Taiwan su: Translating & interpreting Machine translating European Patent Office World Intellectual Property Organization Patents Intellectual property Patent offices Taiwan sug: subj: Taiwan Translating & interpreting Machine translating European Patent Office World Intellectual Property Organization Patents Intellectual property Patent offices keyword: diachronic corpus linguistic features of translated texts Patent translation translation universal translation-specific features ab: In recent years, artificial intelligence-based translation tools for patent documents have undergone rapid development. In 2016, the World Intellectual Property Organization and the European Patent Office successively launched neural machine translation technology. Increasing the volume of English translations in Taiwan's Patent Search System is necessary to strengthen Taiwan's competitive advantages and connectivity with the world. The high-quality bilingual parallel corpora had a decisive influence on the effectiveness of the translation model. Neural machine translation systems for patent texts are trained using human-translated patent texts; thus, exploring the specific pattern of patent translation is vital for improving the future development of neural machine translation for patent texts and providing insight regarding changes in the translations of patent texts over time. In this study, the translation-specific features and patterns of patent translation were identified from accumulated human translations of patent texts over a long-term period. Findings are presented regarding (1) features of English translations, namely of patent abstracts, and the frequency and patterns of simplification, explicitation, normalisation, and levelling-out; (2) specific patterns of translated patent texts and comparable nontranslated patent texts from different periods; and (3) linguistic features of English translations of patent abstracts of the same period. 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: 2021 holdings: @attributes: islocal: N |
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