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---
language:
- multilingual
- en
- de
license: mit
widget:
- text: "ich glaub ich muss echt rewatchen like i so empty was soll ich denn jetzt machen"
example_title: "Example 1"
- text: "Ich hab das selbst gedownloadet I have the receipts"
example_title: "Example 2"
- text: "Ich dachte jz mit dem Date wäre der andere raus I know overthinken ist dein Problem"
example_title: "Example 3"
---
# German-English Code-Switching Identification
The [Tongueswitcher BERT](https://huggingface.co/igorsterner/german-english-code-switching-bert) model finetuned for German-English identification. It was introduced in [this paper](https://openreview.net/forum?id=heYrTpKRny). This model is case sensitive.
## Overview
- **Initialized language model:** german-english-code-switching-bert
- **Training data:** The Denglish Corpus
- **Infrastructure**: 1x Nvidia A100 GPU
- **Published**: 16 October 2023
## Hyperparameters
```
batch_size = 16
epochs = 3
n_steps = 789
max_seq_len = 512
learning_rate = 3e-5
weight_decay = 0.01
seed = 2021
```
## Authors
- Igor Sterner: `is473 [at] cam.ac.uk`
- Simone Teufel: `sht25 [at] cam.ac.uk`
### BibTeX entry and citation info
```bibtex
@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},
}
```
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