6 citations · 6 across the 4 of their papers we have counts for
4 papers
What makes a word hard to learn? Modeling L1 influence on English vocabulary difficulty
Jonas Mayer Martins, Zhuojing Huang, Aaricia Herygers +1
What makes a word difficult to learn, and how does the difficulty depend on the learner's native language? We computationally model vocabulary difficulty for English learners whose…
Exploring data augmentation in bias mitigation against non-native-accented speech
Yuanyuan Zhang, Aaricia Herygers, Tanvina Patel +2
Automatic speech recognition (ASR) should serve every speaker, not only the majority ``standard'' speakers of a language. In order to build inclusive ASR, mitigating the bias again…
Measuring Sentiment Bias in Machine Translation
Kai Hartung, Aaricia Herygers, Shubham Kurlekar +4
Biases induced to text by generative models have become an increasingly large topic in recent years. In this paper we explore how machine translation might introduce a bias in sent…
Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes
Kevin Glocker, Aaricia Herygers, Munir Georges
This paper proposes Allophant, a multilingual phoneme recognizer. It requires only a phoneme inventory for cross-lingual transfer to a target language, allowing for low-resource re…