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Found 9 papers, 5 papers with code
Findings of the VarDial Evaluation Campaign 2022
This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2022.
Modeling Orthographic Variation in Occitan's Dialects
In this study, we fine-tuned a multilingual model with data from several Occitan dialects and conducted a series of experiments to assess the model's representations of these dialects.
Does Whisper understand Swiss German? An automatic, qualitative, and human evaluation
Whisper is a state-of-the-art automatic speech recognition (ASR) model (Radford et al., 2022).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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A Tulu Resource for Machine Translation
Furthermore, we use this dataset for evaluation purposes in developing our English-Tulu machine translation model.
Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect
Creating neural text encoders for written Swiss German is challenging due to a dearth of training data combined with dialectal variation.
A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography
For sensible progress in natural language processing, it is important that we are aware of the limitations of the evaluation metrics we use.
Findings of the VarDial Evaluation Campaign 2023
This report presents the results of the shared tasks organized as part of the VarDial Evaluation Campaign 2023.
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
Cross-lingual transfer between a high-resource language and its dialects or closely related language varieties should be facilitated by their similarity.
On Biasing Transformer Attention Towards Monotonicity
Many sequence-to-sequence tasks in natural language processing are roughly monotonic in the alignment between source and target sequence, and previous work has facilitated or enforced learning of monotonic attention behavior via specialized attention functions or pretraining.
