Computational Linguistics Program
Rachel Rakov (she/her) is a doctoral student in the Linguistics Department, with a focus in Computational Linguistics. Her research is on improving speech prosody modeling techniques for a variety of tasks that fall within automatic speech recognition. Her current research is using prosody modeling to train computational models that can distinguishing between native and non-native speech. She has also worked on building tools for automatic language identification, and tools for automatic detection of sarcastic speech. She has presented her research at Interspeech as well as at Python conferences. Rachel has helped develop and teach courses in Python programming and Natural Language Processing for the Computational Linguistics MA program at The Graduate Center. She was also a consultant on O’Reilly book “Introduction to Machine Learning”, where she provided input on how to make the content of the book more accessible to readers without a math or CS background. Rachel has been an intern with the Speech-Language Technology team at Interactions, works in the Speech Lab at Brooklyn College, and teaches at Hunter College.