Artificial Intelligence

Mapping Functions for Multilingual Word Embeddings

Friday, October 12, 2018, 3:00pm - 4:00pm PDTiCal
11th Floor Large Conference Room [1135]
This event is open to the public.
NL Seminar
Ndapa Nakashole (UCSD)

Abstract: Inducing multilingual word embeddings by learning a linear map between embedding spaces of different languages achieves remarkable accuracy on related languages. However, accuracy drops substantially when translating between distant languages. Given that languages exhibit differences in vocabulary, grammar, written form, or syntax, one would expect that embedding spaces of different languages have different structures especially for distant languages. I will present our work on understanding the behavior of linear maps learned by word translation methods. Additionally, I will present some initial solutions to the shortcomings of such linear maps.

Bio: Ndapa Nakashole is an Assistant Professor in the Department of Computer Science and Engineering at the University of California, San Diego. Prior to UCSD, she was a Postdoctoral Fellow in the Machine Learning Department at Carnegie Mellon University. She obtained her PhD from Saarland University, Germany, for research carried out at the Max Planck Institute for Informatics in Saarbrücken. She completed undergraduate studies in Computer Science at the University of Cape Town, South Africa.

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