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corpusVarious
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The HELLO CAMPANIA! Ghana collection contains 12 sociolinguistic interviews collected with 4 first generation migrants and 8 second generation migrants living in Naples. It also contains 9 language portraits.
Academic Use
corpusVarious
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The corpus consists of 48 audio files for a total of 20:38 of recordings (public) and their relative transcriptions in ELAN (upon request). This collection includes 15 language portraits. The collection is organized in four bundles: - 1G_audio: contains all the audio files collected with 1st generation migrants (30 files) - 1G_portrait: contains the language portraits collected 1st generation migrants (13 files) - 2G_audio: contains all the audio files collected with 2nd generation migrants (18 files) - 2G_portrait: contains the language portraits collected 2nd generation migrants (2 files)
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corpusVarious
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The Ukrainian collection contains data for 26 speakers of first generation (G1), 19 females and 6 males. The collection contains three folders for each group: the sociolinguistic interview and a language portrait.
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corpusVarious
Author(s):
Description:
The HELLO CAMPANIA! Ghana collection contains 12 sociolinguistic interviews collected with 4 first generation migrants and 8 second generation migrants living in Naples. It also contains 9 language portraits.
Academic Use
Author(s):
Description:
The KoKo Corpus is an error-annotated learner corpus of L1 German speakers. It has been created with the aim to investigate and describe the writing skills of German-speaking secondary-school pupils at the end of their school career by analysing authentic texts produced in classrooms. The corpus building process was guided by two goals: 1. describe writing skills at the transition from secondary school to university, 2. determine external factors that may influence the distribution of writing skills, such as the region, sociolinguistic (gender, age), socio-economic, and language-related biographical factors (L1, preferred variety of German, reading and writing habits, etc.). The pupils were selected from three different German-speaking areas: - North Tyrol (Austria), South Tyrol (Italy), and Thuringia (Germany). Classes were sampled randomly, using the size of the cities in which the schools were located (small vs. medium vs. big) and the type of school (providing general education vs. education specific to a particular profession) as strata for the sampling. Since data were collected during regular courses, the typical formation of secondary-school classes in the three regions is represented in the whole corpus. Most of the participants are German native speakers (n=1319, 82.7%). Person-related metadata provides information about: - writer's L1 - writer's gender - type of school the essay comes from - location of the school the essay comes from - grade attended at data collection
Academic Use
data management resourceLearner Language
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Description:
This document contains a list of metadata fields that can be used to describe learner corpus data. The core metadata scheme is structured around 8 metadata types: - Administrative metadata; - Corpus design metadata; - Learner; - Text (language sample); - Situational and task characteristics; - Annotation; - Annotator; - Transcriber.
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