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dc.contributor.author Wedig, Helena
dc.contributor.author Strobl, Carola
dc.date.accessioned 2024-11-14T17:14:49Z
dc.date.available 2024-11-14T17:14:49Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/20.500.12124/81
dc.description The GerSumCo (German Summary Corpus) is a learner corpus comprising syntheses written by L2 German writers (CEFR B2/C1) and writers of L1 German. The corpus has been created with the objective of conducting a comparative analysis of the academic writing of L1 German and L2 German students. The two subcorpora (L1 and L2) contain a total of 286 texts (178 L1 and 108 L2), written by 286 students at 14 universities and language schools in Germany (Bamberg, Bochum, Dresden, Hamburg, Hildesheim, Kiel, Leipzig, Magdeburg, Osnabrück, Potsdam, Trier, Wuppertal), Poland (Gdansk) and China (Hangzhou). The texts were collected between 2022 and 2024 as part of a PhD research project about a contrastive interlanguage analysis using GerSumCo and Beldeko to identify L1-dependent features in cohesion in L2/L1 German. The metadata files (Meta_GerSumCo_L1 & Meta_GerSumCo_L2) contain the following information: - Up to three L1s of the writers - Up to three L2s of the writers - Collection date - Topic - Whether the text was written as homework or in class - Group of students the texts belonged to The file names contain the following information: - Whether the text is part of the L1 or L2 subcorpus - Topic The summaries, on average, consist of 230 words. The texts were either produced in class on computers or as homework, within a 60-minute time frame. Students were permitted to use online dictionaries, but no AI-based auxiliary means. They were required to summarise two texts on one of four topics related to language variation in German: Kiezdeutsch, Mundartdebatte in der Schweiz, Viadrinisch and Varianten-Wörterbuch des Deutschen. This version contains the TXT files of the texts and the CSV files containing the manual annotations of the texts with token ID, sentence ID, source text form, target form, automatic annotated lemma, POS (STTS) and simple UPOS part-of-speech tag.
dc.language.iso deu
dc.publisher University of Antwerp
dc.rights Creative Commons - Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.label PUB
dc.subject cohesion
dc.subject L2 German
dc.subject summaries
dc.subject learner language
dc.subject synthesis writing
dc.title German Summary Corpus (GerSumCo) v1.0.0
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
hidden false
hasMetadata false
has.files yes
branding Various
contact.person Helena Wedig helena.wedig@uantwerpen.be University of Antwerp
contact.person Carola Strobl carola.strobl@uantwerpen.be University of Antwerp
sponsor Research Foundation – Flanders (FWO) 1181323N A corpus-based analysis of grammatical cohesion in L2 German: Insights into the effect of learners' native language on academic writing proficiency in a foreign language. nationalFunds
size.info 286 texts
files.size 1457044
files.count 6


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    • L2_Vi_15.csv13 kB
    • L2_Ki_19.csv9 kB
    • L2_Va_16.csv10 kB
    • L2_Vi_04.csv12 kB
    • L2_Ki_08.csv11 kB
    • L2_Va_05.csv12 kB
    • L2_Mu_11.csv11 kB
    • L2_Vi_31.csv10 kB
    • L2_Vi_09.csv16 kB
    • L2_Va_32.csv11 kB
    • L2_Vi_20.csv9 kB
    • L2_Ki_24.csv11 kB
    • L2_Va_21.csv12 kB
    • L2_Ki_13.csv8 kB
    • L2_Va_37.csv11 kB
    • L2_Mu_05.csv13 kB
    • L2_Va_10.csv6 kB
    • L2_Vi_25.csv6 kB
    • L2_Ki_02.csv6 kB
    • L2_Va_26.csv10 kB
    • L2_Vi_14.csv11 kB
    • L2_Ki_18.csv11 kB
    • L2_Va_15.csv4 kB
    • L2_Vi_03.csv13 kB
    • L2_Ki_07.csv10 kB
    • L2_Va_04.csv10 kB
    • L2_Vi_19.csv7 kB
    • L2_Mu_10.csv6 kB
    • L2_Vi_30.csv14 kB
    • L2_Vi_08.csv14 kB
    • L2_Va_31.csv7 kB
    • L2_Ki_23.csv10 kB
    • L2_Va_09.csv10 kB
    • L2_Va_20.csv3 kB
    • L2_Ki_12.csv17 kB
    • L2_Mu_04.csv13 kB
    • L2_Va_36.csv12 kB
    • L2_Vi_24.csv11 kB
    • L2_Ki_28.csv7 kB
    • L2_Ki_01.csv8 kB
    • L2_Va_25.csv11 kB
    • L2_Vi_13.csv11 kB
    • L2_Ki_17.csv10 kB
    • L2_Mu_09.csv11 kB
    • L2_Va_14.csv9 kB
    • L2_Vi_29.csv8 kB
    • L2_Vi_02.csv11 kB
    • L2_Ki_06.csv6 kB
    • L2_Va_03.csv10 kB
    • L2_Vi_18.csv12 kB
    • L2_Va_19.csv11 kB
    • L2_Vi_07.csv10 kB
    • L2_Va_30.csv4 kB
    • L2_Ki_22.csv11 kB
    • L2_Va_08.csv5 kB
    • L2_Ki_11.csv12 kB
    • L2_Mu_03.csv13 kB
    • L2_Vi_23.csv6 kB
    • L2_Ki_27.csv10 kB
    • L2_Va_24.csv8 kB
    • L2_Vi_12.csv12 kB
    • L2_Ki_16.csv8 kB
    • L2_Mu_08.csv11 kB
    • L2_Va_13.csv7 kB
    • L2_Vi_28.csv10 kB
    • L2_Vi_01.csv11 kB
    • L2_Ki_05.csv10 kB
    • L2_Va_29.csv8 kB
    • L2_Va_02.csv15 kB
    • L2_Vi_17.csv12 kB
    • L2_Va_18.csv8 kB
    • L2_Vi_06.csv8 kB
    • L2_Ki_21.csv12 kB
    • L2_Va_07.csv10 kB
    • L2_Ki_10.csv16 kB
    • L2_Va_34.csv12 kB
    • L2_Mu_02.csv13 kB
    • L2_Vi_22.csv8 kB
    • L2_Ki_26.csv12 kB
    • L2_Va_23.csv10 kB
    • L2_Vi_11.csv10 kB
    • L2_Ki_15.csv15 kB
    • L2_Mu_07.csv10 kB
    • L2_Va_12.csv11 kB
    • L2_Vi_27.csv15 kB
    • L2_Ki_04.csv11 kB
    • L2_Va_28.csv15 kB
    • L2_Va_01.csv11 kB
    • L2_Vi_16.csv12 kB
    • L2_Va_17.csv9 kB
    • L2_Vi_05.csv10 kB
    • L2_Ki_09.csv5 kB
    • L2_Ki_20.csv10 kB
    • L2_Va_06.csv10 kB
    • L2_Mu_12.csv15 kB
    • L2_Vi_32.csv5 kB
    • L2_Va_33.csv7 kB
    • L2_Mu_01.csv7 kB
    • L2_Vi_21.csv10 kB
    • L2_Ki_25.csv10 kB
    • L2_Va_22.csv6 kB
    • L2_Vi_10.csv11 kB
    • L2_Ki_14.csv7 kB
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Name
Meta_GerSumCo_L1.csv
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10.52 KB
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MD5
f346cdaddaa5edeabc2b5ff81695c62c
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Icon
Name
Meta_GerSumCo_L2.csv
Size
6.5 KB
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Description
metadata
MD5
fc3108fe6e52ae9504296e31c912870c
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