G_i2P_i Rule-based, index-preserving grapheme-to-phoneme transformations

no code implementations • ComputEL (ACL) 2022 • Aidan Pine, Patrick William Littell, Eric Joanis, David Huggins-Daines, Christopher Cox, Fineen Davis, Eddie Antonio Santos, Shankhalika Srikanth, Delasie Torkornoo, Sabrina Yu

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.

On the Computational Modelling of Michif Verbal Morphology

no code implementations • EACL 2021 • Fineen Davis, Eddie Antonio Santos, Heather Souter

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.

Language Modelling

The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software

no code implementations • COLING 2020 • Roland Kuhn, Fineen Davis, Alain D{\'e}silets, Eric Joanis, Anna Kazantseva, Rebecca Knowles, Patrick Littell, Delaney Lothian, Aidan Pine, Caroline Running Wolf, Eddie Santos, Darlene Stewart, Gilles Boulianne, Vishwa Gupta, Brian Maracle Owennat{\'e}kha, Akwirat{\'e}kha{'} Martin, Christopher Cox, Marie-Odile Junker, Olivia Sammons, Delasie Torkornoo, Nathan Thanyeht{\'e}nhas Brinklow, Sara Child, Beno{\^\i}t Farley, David Huggins-Daines, Daisy Rosenblum, Heather Souter

This paper surveys the first, three-year phase of a project at the National Research Council of Canada that is developing software to assist Indigenous communities in Canada in preserving their languages and extending their use.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3