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german-english-code-switching-identification
igorsterner/german-english-code-switching-identification
german-english-code-switching-identification is a token classification model from igorsterner. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
The Tongueswitcher BERT model finetuned for German-English identification. It was introduced in this paper. This model is case sensitive.
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At a glance
- Task
- Token Classification
- Library
- transformers
- License
- mit
- Model type
- bert
- Access
- Public
- Created
- Oct 16, 2023
- Updated
- Nov 6, 2023
- SHA
- 5cfcc1d2
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Model card
From the Hugging Face model README
German-English Code-Switching Identification
The Tongueswitcher BERT model finetuned for German-English identification. It was introduced in this paper. 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
@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},
}
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- License
- mit
- Languages
- multilingual, en, de
- Created
- Oct 16, 2023
- Updated
- Nov 6, 2023