Search Results for author:
Found 7 papers, 1 papers with code
G_i2P_i Rule-based, index-preserving grapheme-to-phoneme transformations
This paper describes the motivation and implementation details for a rule-based, index-preserving grapheme-to-phoneme engine ‘G_i2P_i' implemented in pure Python and released under the open source MIT license.
Computing Education in the Era of Generative AI
The computing education community has a rich history of pedagogical innovation designed to support students in introductory courses, and to support teachers in facilitating student learning.
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers
Recent developments in deep learning have resulted in code-generation models that produce source code from natural language and code-based prompts with high accuracy.
Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
The introductory programming sequence has been the focus of much research in computing education.
On the Computational Modelling of Michif Verbal Morphology
The verbal morphology is remarkably complex, as the already polysynthetic Algonquian patterns are combined with French elements and unique morpho-phonological interactions. The model presented in this paper, LI VERB KAA-OOSHITAHK DI MICHIF handles this complexity by using a series of composed finite-state transducers to model the concatenative morphology and phonological rule alternations that are unique to Michif.
Training \& Quality Assessment of an Optical Character Recognition Model for Northern Haida
We are presenting our work on the creation of the first optical character recognition (OCR) model for Northern Haida, also known as Masset or Xaad Kil, a nearly extinct First Nations language spoken in the Haida Gwaii archipelago in British Columbia, Canada.
