Automated Organization ProfileZakład Współczesnego Języka Angielskiego
Zakład Współczesnego Języka Angielskiego
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets in this organization
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the organization's datasets
Total Mentions
Total mentions of the organization's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The LnNor corpus was created as part of the data collection in two projects: CLIMAD (Cross-linguistic influence in multilingualism across domains: phonology and syntax) and ADIM (Across-domain Investigations in Multilingualism: Modeling L3 Acquisition in Diverse Settings), led by Prof. Magdalena Wrembel at Adam Mickiewicz University in Poznań, Poland and by Prof. Marit Westergaard at the Arctic University of Norway, from December 2021 to April 2024 with funding from the National Science Centre (NCN) in Poland and Norway Grants. Corpus data collection covered a broad range of speech elicitation tasks. The recordings consist of word, sentence and text reading, picture story description, video story retelling, spontaneous speech and socio-phonetic interviews in Polish, English and Norwegian. The corpus contains metadata based on the Language History Questionnaire (Li et al. 2020) such as age, gender, native languages, proficiency level, length of language exposure, age of onset. The LnNor corpus has been created to represent multilingual speech with a focus on L3/Ln Norwegian learners as well as native controls of Norwegian, English and Polish. The LnNOR corpus part 1 consists of 1073 annotated files from 78 speakers. The speakers included 53 L1 Polish, 16 L1 Norwegian and 9 L1 speakers of other European languages. The total recording time is approximately 35 hours and the full size is 18 GB. The recordings in the released LnNor corpus part 1 cover data collected between 2021-2022.
Authors
- Wrembel, Magdalena ;
- Hwaszcz, Krzysztof ;
- Pludra, Agnieszka ;
- Skałba, Anna ;
- Weckwerth, Jarosław ;
- Malarski, Kamil ;
- Cal, Zuzanna Ewa ;
- Kędzierska, Hanna ;
- Czarnecki-Verner, Tristan ;
- Balas, Anna ;
- Kaźmierski, Kamil ;
- Żychliński, Sylwiusz ;
- Gruszecka, Justyna