Teaching Specialized Translation Error-tagged Translation Learner Corpora

Kód výsledku v 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>

Výsledek na webu

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

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Teaching Specialized Translation Error-tagged Translation Learner Corpora

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Teaching Specialized Translation Error-tagged Translation Learner Corpora

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

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

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Sendebar

ISSN

1130-5509

e-ISSN

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Svazek periodika

2017

Číslo periodika v rámci svazku

28

Stát vydavatele periodika

ES - Španělské království

Počet stran výsledku

33

Strana od-do

209-241

Kód UT WoS článku

000424643400010

EID výsledku v databázi Scopus

2-s2.0-85040629905