1 / 29

Postgraduate Diploma in Translation

Postgraduate Diploma in Translation. Introduction to Machine Translation IV The Translator’s Workstation. Recap: MT Methods. MT Direct MT Rule-Based MT Data-Driven MT Transfer Interlingua EBMT SMT. Different Styles of MT. FAMT : fully automatic machine translation

elden
Télécharger la présentation

Postgraduate Diploma in Translation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Postgraduate Diploma in Translation Introduction to Machine Translation IV The Translator’s Workstation Intro to MT IV

  2. Recap: MT Methods MT Direct MT Rule-Based MT Data-Driven MT Transfer Interlingua EBMT SMT Intro to MT IV

  3. Different Styles of MT • FAMT: fully automatic machine translation • FAHQMT • FALQMT • MAHT: machine aided human translation • HAMT: human aided machine translation Intro to MT IV

  4. The Proper Place ofMen and Machinesin Language Translation • Martin Kay, 1980 [1997] • Machine translation is an excellent research vehicle but stands no chance of filling actual needs for translators. • Answer is to develop cooperative man-machine systems • Start with word processing and add translation specific enhancements to approach the goal of automatic tranlation. • Be modest: be humble. Intro to MT IV

  5. The Translator’s WorkstationOrigins & Development • Main idea of TW attributed to Martin Kay (author of “Proper Place of Men and Machines in Machine Translation”, (1980) • Basic ingredients include • Glossaries • Multilingual termbanks • Translation Memories (TM) • Built on word processing environment • Progressive automation of dictionary lookup and access to TM Intro to MT IV

  6. Standard Word Processing Environment includes • Spell Check • Grammar Check • Thesaurus • Word Counting • Archiving and retrieval of documents Intro to MT IV

  7. Translation-Oriented Editing • Basic Idea: add a certain level of linguistic awareness to editing functions. • Translation-oriented word substitution • e.g. replace “purchase” with “buy” • system: • purchasing → buying • purchased → bought • e.g. replace “brume” with “brouillard” • system: • brouilard épais → brume épaisse Intro to MT IV

  8. Integration with Desktop PublishingTranslation of Captions Intro to MT IV

  9. Mark Up Languages • Markup is anything added to the content of the document that describes the text. • Formatting instructions: typeface, fonts, paragraphs, bulletted lists. • HTML • More abstract levels of content description. • XML Intro to MT IV

  10. TMX • TMX (Translation Memory eXchange) is the vendor-neutral open XML standard for the exchange of Translation Memory • The purpose of TMX is to allow easier exchange of translation memory data between tools and/or translation vendors • http://www.lisa.org/tmx/specification.html Intro to MT IV

  11. Access to Lexical Resources • Online Dictionaries • On screen version of traditional printed dictionary • Exploitation of hypertext links • Editing facilities cf. French Assistant system from Lernhout and Hauspie • Term banks • Gazetteers • Encyclopaedic knowledge • World Wide Web Intro to MT IV

  12. Intro to MT IV

  13. Intro to MT IV

  14. Intro to MT IV

  15. Commercially Available Systems • Typically designed for non-linguists • ... as an extension of a familiar word processing environment Intro to MT IV

  16. A Typical MAHT • Separate windows for source and target text • Source text initially shown in target window, to be overwritten by translation • User highlights a portion of text to be machine translated. • Draft translation is then pasted in, ready for post-editing. • User decides what will be translated by machine, and can develop a modus operandi. Intro to MT IV

  17. Intro to MT IV

  18. Interactive Translation • Most systems allow user a choice of interactive translation in which systems stops and asks translator to make choices. • Can be annoying. Machine may keep asking the same question. • Difficult to resolve this problem in general case. Intro to MT IV

  19. Intro to MT IV

  20. Translation Memory • First proposed in 1970s, but not generally available until 1990s. • Database of previous translations • Sentence by sentence translation • If exact match for new sentence is found, it is pasted in. • If not, TM may highlight those parts of the new sentence which differ from the stored one. Intro to MT IV

  21. Translation Memory –Higlighting Difference Intro to MT IV

  22. Translation Memory • Keys to success are • Efficient storage of sentences • Efficient matching scheme • Most current commercial systems are based on character string similarity Intro to MT IV

  23. Similarity between sentences • When the paper tray is empty, remove it and refill it with paper of the appropriate size • When the tray is empty, remove it and fill it with the appropriate paper. • When the bulb remains unlit, remove it and replace with a new bulb • You have to remove the paper tray in order to refill it when it is empty. Intro to MT IV

  24. Other Corpus Based Resources • Concordance: is a list of words (called keywords, e.g. here ‘sin’), taken from a corpus displayed in the centre of the page and shown in contexts in which they occur • Monolingual • Bilingual • Other Corpus tools • Word sense profilers - WASPS Intro to MT IV

  25. Monolingual Concordance Example 1 hed it off. * * * ‘What a curious feeling!’ said Alice; ‘I must b 1 against herself, for this curious child was very fond of pretendi 2 ‘Curiouser and curiouser!’ cried Alice ( 2 ‘Curiouser and curiouser!’ cried Alice (she was so muc 2 Eaglet, and several other curious creatures. Alice led the way, 4 -- and yet – it’s rather curious, you know, this sort of life! 6 eir heads. She felt very curious to know what it was all about, 6 out a cat! It’s the most curious thing I ever saw in my life!’ S 7 ht into it. ‘That's very curious!’ she thought. ‘But everything’ 7 hought. ‘But everything's curious today. I think I may as well g 8 Alice thought this a very curious thing, and she went nearer to w 8 she had never seen such a curious croquet-ground in her life; it 8 seen, when she noticed a curious appearance in the air: it puzz 9 next, and so on.’ ‘What a curious plan!’ exclaimed Alice. ‘That’s 10 : ‘and I do so like that curious song about the whiting!’ ‘Oh, 10 th, and said ‘That’s very curious.’ ‘It's all about as curious a 10 ous.’ ‘It’s all about as curious as it can be,’ said the Gryphon 11 moment Alice felt a very curious sensation, which puzzled her a 11 er the list, feeling very curious to see what the next witness wo 12 ad!’ ‘Oh, I’ve had such a curious dream!’ said Alice, and she tol 12 her, and said, ‘It was a curious dream, dear, certainly: but no Intro to MT IV

  26. Bilingual Concordance Intro to MT IV

  27. Bilingual Concordance Intro to MT IV

  28. WASPS • A Semi-Automatic Lexicographer's Workbench for Writing Word Sense ProfileS • Adam Kilgarriff, David Tugwell et. al, ESRC 1999-2002 • Remit was to explore the synergy between the lexicographer's task of identifying and describing word senses, and the computational task of word sense disambiguation (WSD). Intro to MT IV

  29. Summary • Translator’s workstation represents the most cost effective facility for the professional translator working in a large organisation. • Range of integrated services that are relevant to translation. • Translator remains in control Intro to MT IV

More Related