Design principles of an open-source language modeling microservice package for AAC text-entry applications

Brian Roark, Alexander Gutkin


Abstract
We present MozoLM, an open-source language model microservice package intended for use in AAC text-entry applications, with a particular focus on the design principles of the library. The intent of the library is to allow the ensembling of multiple diverse language models without requiring the clients (user interface designers, system users or speech-language pathologists) to attend to the formats of the models. Issues around privacy, security, dynamic versus static models, and methods of model combination are explored and specific design choices motivated. Some simulation experiments demonstrating the benefits of personalized language model ensembling via the library are presented.
Anthology ID:
2022.slpat-1.1
Volume:
Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022)
Month:
May
Year:
2022
Address:
Dublin, Ireland
Venues:
ACL | SLPAT
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–16
Language:
URL:
https://aclanthology.org/2022.slpat-1.1
DOI:
10.18653/v1/2022.slpat-1.1
Bibkey:
Cite (ACL):
Brian Roark and Alexander Gutkin. 2022. Design principles of an open-source language modeling microservice package for AAC text-entry applications. In Ninth Workshop on Speech and Language Processing for Assistive Technologies (SLPAT-2022), pages 1–16, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
Design principles of an open-source language modeling microservice package for AAC text-entry applications (Roark & Gutkin, SLPAT 2022)
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PDF:
https://aclanthology.org/2022.slpat-1.1.pdf