Computers may seem like cold, data-processing machines, but in the Natural Language Processing (NLP) and Applied Machine Learning (AML) Labs, Eric Ringger, Kevin Seppi, and their students are pioneering budget-conscious technology that is connecting linguists and Syriac scholars across the globe to facilitate the understanding of early forms of Christianity in the Near East.
“Our project is innovative because it’s one of the first real applications of active learning to text annotation,” Ringger said of the technology. “It’s been done elsewhere, but it’s been kept in-house, and not to the degree we’re doing it. We’re trying to help others by sharing the tools and the technology. I’d love for people to never do text annotation again from the beginning of the corpus to the end. It will transform the way people do scholarship in Syriac.”
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