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Teaching Specialized Translation Error-tagged Translation Learner Corpora

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F17%3A00095939" target="_blank" >RIV/00216224:14210/17:00095939 - isvavai.cz</a>

  • Result on the web

    <a href="http://bit.ly/2zjcEBv" target="_blank" >http://bit.ly/2zjcEBv</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Teaching Specialized Translation Error-tagged Translation Learner Corpora

  • Original language description

    This paper describes the method used in teaching specialised translation in the English Language Translation Master’s programme at Masaryk University. After a brief description of the courses, the focus shifts to translation learner corpora (TLC) compiled in the new Hypal interface, which can be integrated in Moodle. Student translations are automatically aligned (with possible adjustments), PoS (part-of-speech) tagged, and manually error-tagged. Personal student reports based on error statistics for individual translations to show students’progress throughout the term or during their studies in the four-semester programme can be easily generated. Using the data from the pilot run of the new software, the paper concludes with the first results of the research examining a learner corpus of translations from Czech into English.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50301 - Education, general; including training, pedagogy, didactics [and education systems]

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Sendebar

  • ISSN

    1130-5509

  • e-ISSN

  • Volume of the periodical

    2017

  • Issue of the periodical within the volume

    28

  • Country of publishing house

    ES - SPAIN

  • Number of pages

    33

  • Pages from-to

    209-241

  • UT code for WoS article

    000424643400010

  • EID of the result in the Scopus database

    2-s2.0-85040629905