7 papers · 1 filter
ltzGLUE: Luxembourgish General Language Understanding Evaluation
Alistair Plum, Felicia Körner, Anne-Marie Lutgen +8
This paper presents ltzGLUE, the first Natural Language Understanding (NLU) benchmark for Luxembourgish (LTZ) based on the popular GLUE benchmark for English. Although NLU tasks ar…
Copy First, Translate Later: Interpreting Translation Dynamics in Multilingual Pretraining
Felicia Körner, Maria Matveev, Florian Eichin +3
Large language models exhibit impressive cross-lingual capabilities. However, prior work analyzes this phenomenon through isolated factors and at sparse points during training, lim…
Rashid: A Cipher-Based Framework for Exploring In-Context Language Learning
Niyati Bafna, Ryan Soh-Eun Shim, Barbara Plank +2
Where there is growing interest in in-context language learning (ICLL) for unseen languages with large language models, such languages usually suffer from the lack of NLP tools, da…
SteerEval: Inference-time Interventions Strengthen Multilingual Generalization in Neural Summarization Metrics
Silvia Casola, Ryan Soh-Eun Shim, Felicia Körner +2
An increasing body of work has leveraged multilingual language models for Natural Language Generation tasks such as summarization. A major empirical bottleneck in this area is the…
Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration
Ryan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang +8
Multilingual speech foundation models such as Whisper are trained on web-scale data, where data for each language consists of a myriad of regional varieties. However, different reg…
Languages in Whisper-Style Speech Encoders Align Both Phonetically and Semantically
Ryan Soh-Eun Shim, Domenico De Cristofaro, Chengzhi Martin Hu +2
Cross-lingual alignment in pretrained language models enables knowledge transfer across languages. Similar alignment has been reported in Whisper-style speech encoders, based on sp…
Dialetto, ma Quanto Dialetto? Transcribing and Evaluating Dialects on a Continuum
Ryan Soh-Eun Shim, Barbara Plank
There is increasing interest in looking at dialects in NLP. However, most work to date still treats dialects as discrete categories. For instance, evaluative work in variation-orie…