6533b85ffe1ef96bd12c100c
RESEARCH PRODUCT
An Intralingual Parallel Corpus of Translations into German Easy Language (Geasy Corpus): What Sentence Alignments Can Tell Us About Translation Strategies in Intralingual Translation
Silke GutermuthJean NitzkeSilvia Hansen-schirrasubject
business.industryComputer scienceTranslation (geometry)USablecomputer.software_genrelanguage.human_languageGermanTree (data structure)languageText typesArtificial intelligenceSource textLanguage translationbusinesscomputerSentenceNatural language processingdescription
Parallel corpora are traditionally interlingual and contain source and target texts in different languages. However, intralingual translations into Easy Language (EL) become more and more common in various countries. First intralingual corpora have been built up and investigated in terms of linguistic and structural features, but a translation-driven corpus linguistic approach is still missing to empirically describe the strategies of Easy Language translation, the characteristics of translated texts as well as to make these parallel corpora usable for professionalising and automatising translation processes. In this paper, we introduce an intralingual parallel corpus of translations into German Easy Language (Geasy Corpus). It contains published professional translations from Standard German into German Easy Language, including different text types and various formulation guidelines for German Easy Language. Currently, the corpus contains 1,087,643 words of source text and 292,552 words of Easy Language translations. So far, 93 (of 276) texts have been sentence aligned. We compare descriptive values, investigate the alignments, and describe which translation strategies are revealed to give first empirical evidence on the characteristics of Easy Language translations. Finally, we will discuss the potentials of tree annotations for Easy Language corpora, summarise our findings and give on outlook on future research.
year | journal | country | edition | language |
---|---|---|---|---|
2021-01-01 |