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Evolution of Computer Terminology Translations with the SPOT Dictionary

Evolution of Computer Terminology Translations with the SPOT Dictionary. Jiri Hynek, Premek Brada Department of Computer Science & Engineering Faculty of Applied Sciences University of West Bohemia, Pilsen, Czech Republic. “On the quality of Czech translations of technical literature”.

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Evolution of Computer Terminology Translations with the SPOT Dictionary

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  1. Evolution of Computer Terminology Translations with the SPOT Dictionary Jiri Hynek, Premek BradaDepartment of Computer Science & EngineeringFaculty of Applied SciencesUniversity of West Bohemia, Pilsen, Czech Republic

  2. “On the quality of Czech translations of technical literature” Apply filtersZažádej o filtryAsk for filters • Why the ICT translator’s work is hard • What we can do to help alleviate it

  3. Standard translation process • Translation, localization projects (books, software) • (up to) millions of words in various contexts • team work (export, import, corpus sync) • need for consistency, efficiency, quality  dictionaries, corpora, CAT tools • Problems a translator runs into • grasp meaning of highly specialized terms • be aware of already existing term translations

  4. Making term translations • Linguist, corpus, current dictionaries • Months, years of preparatory work and polishing • Published dictionary • ICT context: process works well for “stable old-timers” like memory, disk, dialog window

  5. But what if new words appear every month, and get accepted worldwide within weeks?

  6. Troublemakers among words • Old-timers • Novas and supernovas • Homonyms, synonyms • Shifting sands • Esoteric terms • … appear in books, papers, blogs, student works (diploma theses), documentation, software applications  meet us daily

  7. Troublemakers (1) • Synonyms (pull-down | drop-down) • Common words in new meaning • Problems • acceptance in non-original languages • alternative translations – which is correct?

  8. Troublemakers (2) • Supernovas, esoteric terms – spam, phishing, blog, code closure, social bookmarking, refactoring, proxy, locale, box model, marshal, bean-managed persistence • Problems • “explanatory translations” instead of terms • narrow community • users prefer original to translation

  9. Ways out • Translate only few books? • Educate translators? • Educate developers, L10N specialists? … or …

  10. SPOT • Dictionary of (evolving, current, unsettled) ICT terminology translations • Goal = reconcile two forces • terminology from users • quality of resulting language

  11. Collective wisdom approach • Community to create term translations • Fruitful cooperation of linguists, knowledgeable users, translators, and professionals (engineers, academics) • complementary skills, contexts, knowledge • cf. COBUILD approach to capture language “as is” rather than “as should be”

  12. Key community supporting features • Dictionary • searching • browsing (letter, category, project, status) • links • Communication • comments • voting

  13. Key professional support features • Editorial board • translation quality • Translation projects • isolation • communication • geographic distribution • Live term contexts • Google search • several context categories

  14. SPOT as corpus building tool • Translation settling process • user adds term • user adds translation (with notes) • registered users comment, vote • editor decides  correct vs deprecated translations • Projects • developing local corpus in isolation • publishing for general availability

  15. SPOT as dictionary and CAT • Dictionary with added value • good/bad translations, comments, explanations • context … as compared to FOLDOC; slovnik.zcu.cz • On-line CAT tool • corpus sharing and updating, discussion • draw from already existing translations … as compared to Google, reference.com, dictionary of math terminology, TU Brno

  16. Conclusion • ICT translations challenging even for skilled professionals • SPOT: let translations become a shared work of the ICT “general public” Thank you

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