Název: Automatische vertaling: een levensvatbare oplossing voor het recht?
Variantní název:
- Machine translation: a possible solution to the law?
Zdrojový dokument: Brünner Beiträge zur Germanistik und Nordistik. 2022, roč. 36, č. 1, s. 35-46
Rozsah
35-46
-
ISSN1803-7380 (print)2336-4408 (online)
Trvalý odkaz (DOI): https://doi.org/10.5817/BBGN2022-1-4
Trvalý odkaz (handle): https://hdl.handle.net/11222.digilib/digilib.77355
Type: Článek
Jazyk
Licence: CC BY-SA 4.0 International
Upozornění: Tyto citace jsou generovány automaticky. Nemusí být zcela správně podle citačních pravidel.
Abstrakt(y)
The translation of legal information constitutes a special branch of translation practice, particularly due to the systemic nature of legal terminology, as well as complicated syntax and the use of fixed word associations and language templates. Professional human translators have always been the preferred way to translate legal documents because they have the linguistic expertise, a good understanding of the cultural context and capacity to make decisions when translating. As more and more international companies enter new markets, the need for translating legal texts increases, which often involves large amounts of data that need to be translated quickly. The possibilities and limits of machine translation (MT) are being frequently tested. Since the legal sector traditionally requires high-quality translations, the question arises whether machine translation can also work well in this field?
Reference
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[11] Shannon, Claude E., Weaver, Warren (1964): The Mathematical Theory of Communication. The University of Illinois Press. Urbana.
[12] Snell-Hornby, Mary. (2006): The Turns of Translation Studies: New paradigms or shifting viewpoints? Amsterdam: John Benjamins Publishing Company. Benjamins translation library.
[13] Matthew Snover, Nitin Madnani, Bonnie Dorr and Richard Schwartz (2009): "Fluency, ade– quacy, or hter?: exploring different human judgments with a tunable MT metric." In: Proceedings of the Fourth Workshop on Statistical Machine Translation. Association for Computational Linguistics, p. 259-268.
[14] TAUS eLearning Platform, Post-Editing/Reviewing. [elektronische cursus] [online] https://elearning.taus.net/course/index.php#pe-overview, [geciteerd op 30-4-2022].
[15] Verordening (EU) 2016/679 van het Europees Parlement en de Raad van 27 april 2016 betreffende de bescherming van natuurlijke personen in verband met de verwerking van persoonsgegevens en betreffende het vrije verkeer van die gegevens en tot intrekking van Richtlijn 95/46/EG (algemene verordening gegevensbescherming) (Document 32016R0679), [geciteerd op 10-4-2022].
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