3 papers
cs.CL2023
A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography
Noëmi Aepli, Chantal Amrhein, Florian Schottmann +1
For sensible progress in natural language processing, it is important that we are aware of the limitations of the evaluation metrics we use. In this work, we evaluate how robust me…
cs.CL2021
Improving Zero-shot Cross-lingual Transfer between Closely Related Languages by injecting Character-level Noise
Noëmi Aepli, Rico Sennrich
Cross-lingual transfer between a high-resource language and its dialects or closely related language varieties should be facilitated by their similarity. However, current approache…
cs.CL2021
On Biasing Transformer Attention Towards Monotonicity
Annette Rios, Chantal Amrhein, Noëmi Aepli +1
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 enfor…