Attend this event in person or watch the livestream. Registration not required.
Developing natural language processing (NLP) pipelines for languages other than English remains a challenge. Since its release in 2015, spaCy has become one of the most popular open-source libraries for applied natural language processing in Python, enabling a wide range of applications across different use cases and domains. For the second keynote at the New Languages for NLP conference (full schedule), Ines Montani (Explosion AI) will discuss spaCy's philosophy for modern NLP, its extensible design and new recent features to enable the development of advanced natural language processing pipelines for typologically diverse languages.
This talk is part of the New Languages for NLP: Building Linguistic Diversity in the Digital Humanities Institute, hosted by the Center for Digital Humanities in partnership with DARIAH-EU, and with generous support from a grant from the National Endowment for the Humanities.