PI, $50,000

This grant was awarded by Google to support research on transfer learning techniques for natural language processing (NLP). The project aims to investigate how pre-trained language models can be fine-tuned and adapted to new domains and languages, with a focus on improving the performance of NLP tasks such as text classification, question-answering, and entity recognition. The grant funds were used to support research activities, hire graduate students and postdoctoral researchers, purchase equipment and software, and attend conferences and workshops related to the project.

PI, $500,000

This grant was awarded by the National Science Foundation (NSF) to support research on the application of deep learning techniques to natural language processing (NLP). The project aims to develop new machine-learning algorithms and models that can improve the accuracy and efficiency of NLP tasks such as language translation, sentiment analysis, and text classification. The grant funds were used to support research activities, hire graduate students and postdoctoral researchers, purchase equipment and software, and attend conferences and workshops related to the project.