How to get superior text processing in Python with Pynini
Regular expressions are the standard for string processing, but did you know you can often get better text untangling with Pynini's finite-state transducers?
Kyle Gorman
Kyle Gorman holds a Ph.D. in Linguistics from the University of Pennsylvania. Before joining Google in 2015, he worked as a postdoctoral research assistant, and assistant professor, at the Center for Spoken Language Understanding at the Oregon Health & Science University in Portland. Kyle has worked on language variation and change, phonology, morphology and morphological processing, language disorders, and text normalization. He is a maintainer of the OpenFst library and the creator of the Pynini FST toolkit.