My research aims to answer questions about linguistic structure with computational methods. Those questions often come from the domains of morphology and typology. In my first qualifying paper I worked on modeling typological features with machine learning methods.I am also interested in computational semantics, especially distributional semantics.
Learning embeddings for ontology elements with neural networks (for Dr. Martha Palmer).
The Meertens Institute is a research institute for Dutch language and culture within the Royal Netherlands Academy of Arts and Sciences (KNAW). The “Language & Number” project studied numbers cross-linguistically and aimed to develop a typological database of numeral constructions. My research involved building a pipeline for automatic extraction of these constructions, using techniques from computational linguistics/NLP.
Part of this research was presented (together with Lisa Bylinina) at the Dialogue Conference in Moscow (1-4 June, 2016): “Building an automated pipeline for typological research: a case study.”
- LING 1020: Languages of the World [Fall 2018]
- LING/CLAS 1010: The Study of Words [Spring 2018]
- LING 1000: Language in US Society [Fall 2017]