Machines, translations and memories: language transfer in the web browser.
Classic translation memory (TM) revolutionised technical translation in the 1990s. ‘Enhanced’ TM will revolutionise most types of translation this decade. The massive memory databases collected over 20 years can now be accessed from TM tools for exact and fuzzy matches. Sub-segmental information (te...
| Publicado en: | Perspectives: Studies in Translatology Vol. 20; no. 4; pp. 451 - 462 |
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| Formato: | Artículo |
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Taylor & Francis Ltd
2012
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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=82848940&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 82848940 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 0907676X S2F jtl: Perspectives: Studies in Translatology issn: 0907676X maglogo: N pubinfo: dt: 2012 vid: 20 iid: 4 pid: 377 pub: Taylor & Francis Ltd artinfo: ui: 82848940 10.1080/0907676X.2012.726230 ppf: 451 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 91KB tig: atl: Machines, translations and memories: language transfer in the web browser. aug: au: Garcia, Ignacio affil: School of Humanities and Communication Arts, University of Western Sydney, Sydney, Australia su: Language transfer (Language learning) Web browsing Access control of databases Concordances Metadata Machine translating Cloud computing sug: subj: Language transfer (Language learning) Web browsing Access control of databases Concordances Metadata Machine translating Cloud computing keyword: community translation machine translation professional translation technical translation translation automation translation memory ab: Classic translation memory (TM) revolutionised technical translation in the 1990s. ‘Enhanced’ TM will revolutionise most types of translation this decade. The massive memory databases collected over 20 years can now be accessed from TM tools for exact and fuzzy matches. Sub-segmental information (terminology and phraseology) can also be gained from them via manual or automated concordancing. Stripped of metadata and formatting information, they have made possible the swift development of statistical machine translation (MT), which can be integrated with TM to provide matches where the memories themselves cannot. At the same time, cloud computing facilitates the adoption of web-based MT (and of web-based TM and translation management systems). Postediting, previously limited to a narrow section of the industry, becomes mainstream. The Read/Write Web demands (and allows for) a new model of translation, with dynamic, user-generated content not well suited to the conventional translation-editing-proofreading model. The web browser seems to drive those who want to make technical translation a profession into either semi-skilled workers enduring quasi sweatshop conditions, or else into the highly-skilled language engineer who helps make the decisions on which tool or process those translators will use for which task. 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: 2012 holdings: @attributes: islocal: N |
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