The undergraduate learner translator corpus: a new resource for translation studies and computational linguistics.

Around the world, a growing interest has been seen in learner translator corpora, which are invaluable resources for teaching and research. This paper introduces a new resource to support researchers from different interdisciplinary areas such as computational linguistics, descriptive translation st...

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Publicado en:Language Resources & Evaluation Vol. 54; no. 3; pp. 801 - 831
Autor principal: Alfuraih, Reem F.
Formato: Artículo
Publicado: Springer Nature Sep2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        au: Alfuraih, Reem F.
        affil: College of Languages, Princess Nourah bint Abdulrahman University, PO Box 7455, 14215, Riyadh, Saudi Arabia
      su:
        Computational linguistics
        Translations
        Corpora
        Translators
        Arabic language
        Cognitive science
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        subj:
          Computational linguistics
          Translations
          Corpora
          Translators
          Arabic language
          Cognitive science
      keyword:
        Arabic parallel corpus
        Interpreting corpus
        Multilingual corpus
        Multimodal corpus
        Translation pedagogy
        Triangulation
      ab: Around the world, a growing interest has been seen in learner translator corpora, which are invaluable resources for teaching and research. This paper introduces a new resource to support researchers from different interdisciplinary areas such as computational linguistics, descriptive translation studies, computer-aided translation technology, Arabic machine translation applications, cognitive science, and translation pedagogy. Motivated by the lack of learner translator resources that provide data about learners of translation from and into Arabic, the undergraduate learner translator corpus (ULTC) is an ongoing, error-tagged sentence-aligned parallel corpus of English, Arabic, and French, with Arabic as its main language. The present corpus, consisting of parallel texts of female learners of translation from English or French into Arabic, is the first of its kind in terms of the languages represented, tasks covered, and number of students involved. It is also unique in terms of combining many complementary corpora of cross-lingual data, each of which has its own web-based query interface and corpus analysis tools. This paper describes the ULTC compilation process, preliminary findings, and planned future expansion and research.
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    language: English
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