Barbara Bullock is a linguist who specializes in the effects of language contact on linguistic variation. Her interests lie generally in exploring the Romance languages in the diaspora in the Americas. She seeks to empirically document the effects of code-switching and convergence at multiple levels of the grammar both as a window on language variation and as a reflection of social identity. She sees the use of corpus linguistics and natural language processing as effective tools in studying potential language interaction ensuing from language and dialect contact.
Almeida Jacqueline Toribio Almeida Jacqueline Toribio is Professor of Linguistics in the Department of Spanish & Portuguese at the University of Texas at Austin. Her research is centered on linguistic variation, particularly the innovative morpho-syntactic and phonetic-phonological structures that emerge in the speech of rural and bilingual populations. Her work examines cognitive and social aspects of variation in order to understand how variable patterns are encoded and interpreted. Her work variously draws on field and laboratory approaches and ‘big’ data methods of corpus linguistics.
Jacqueline Serigos is Assistant Professor of Spanish Linguistics at George Mason University. She holds an MA and PhD in Hispanic Linguistics from the University of Texas at Austin and a BA in Anthropology and Latin American Studies from Emory University. Her research explores various aspects of language contact, though is mainly focused on the usage of Anglicisms in Spanish. She makes use of computational methods to analyze large datasets.
Kelsey Ball holds a BS in Electrical and Computer Engineering from UT Austin and is currently a Fulbright- Nehru Scholar in Heyerabad, India. Kelsey focuses on software engineering. Her research interests include natural language processing and machine learning.
Gualberto Guzman is a graduate student in Computer Science. He holds BS degrees in Computer Science, Electrical Engineering, and Math from UT Austin. His fields of study are Artificial Intelligence and Software Design, respectively. His research interests focus on the applications of machine learning and artificial intelligence to corpus linguistics. He is also a Mellon-Mays alumnus .