16 citations · 27 across the 4 of their papers we have counts for
6 papers
A Cross-lingual Comparison of Human and Classification Model Entrainment Behavior in Code-switched Speech Settings
Debasmita Bhattacharya, Siying Ding, Alayna Nguyen +1
Conversational entrainment is well-studied in monolingual and written contexts, but remains underexplored in spoken code-switching (CSW). We present a novel cross-lingual analysis…
Code-switching in text and speech challenges information-theoretic speaker design
Debasmita Bhattacharya, Marten van Schijndel
In this work, we use language modeling to investigate the factors that influence insertional code-switching. Code-switching occurs when a speaker alternates between one language va…
Measuring Entrainment in Spontaneous Code-switched Speech
Debasmita Bhattacharya, Siying Ding, Alayna Nguyen +1
It is well-known that speakers who entrain to one another have more successful conversations than those who do not. Previous research has shown that interlocutors entrain on lingui…
Examining Racial Bias in an Online Abuse Corpus with Structural Topic Modeling
Thomas Davidson, Debasmita Bhattacharya
We use structural topic modeling to examine racial bias in data collected to train models to detect hate speech and abusive language in social media posts. We augment the abusive l…
An Observational Study of the Effect of Nike Vaporfly Shoes on Marathon Performance
Joseph Guinness, Debasmita Bhattacharya, Jenny Chen +2
We collected marathon performance data from a systematic sample of elite and sub-elite athletes over the period 2015 to 2019, then searched the internet for publicly-available phot…
Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber
Technologies for abusive language detection are being developed and applied with little consideration of their potential biases. We examine racial bias in five different sets of Tw…