
This is the TongueSwitcher Corpus of German-English code-switching tweets. Included are the train and dev sets with automatic word (and subword for mixed words) language identification, alongside the human-annotated corpus with test and interlingual homograph sets. BibTeX entry and citation info @inproceedings{sterner2023tongueswitcher, author = {Igor Sterner and Simone Teufel}, title = {TongueSwitcher: Fine-Grained Identification of German-English Code-Switching}, booktitle = {Sixth Workshop on Computational Approaches to Linguistic Code-Switching}, publisher = {Empirical Methods in Natural Language Processing}, year = {2023},}
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
