TuGeBiC: A Turkish German Bilingual Code-Switching Corpus
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Abstract (arXiv)
In this paper we describe the process of collection, transcription, and annotation of recordings of spontaneous speech samples from Turkish-German bilinguals, and the compilation of a corpus called TuGeBiC. Participants in the study were adult Turkish-German bilinguals living in Germany or Turkey at the time of recording in the first half of the 1990s. The data were manually tokenised and normalised, and all proper names (names of participants and places mentioned in the conversations) were replaced with pseudonyms. Token-level automatic language identification was performed, which made it possible to establish the proportions of words from each language. The corpus is roughly balanced between both languages. We also present quantitative information about the number of code-switches, and give examples of different types of code-switching found in the data. The resulting corpus has been made freely available to the research community.
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References · 6
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2020GLUECoS : An Evaluation Benchmark for Code-Switched NLPcited by 102
- 2020LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluationcited by 93
- 2019Overview for the Second Shared Task on Language Identification in Code-Switched Datacited by 33
- 2016Challenges of Computational Processing of Code-Switchingcited by 20
- 2020Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessarycited by 8
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