Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions

Research output: Contribution to journal › Conference article › peer-review

Original language	English
Pages (from-to)	270-274
Number of pages	5
Journal	Proceedings of Machine Learning Research
Volume	217
State	Published - 2023
Event	16th International Conference on Grammatical Inference, ICGI 2023 - Rabat, Morocco Duration: Jul 10 2023 → Jul 13 2023

Keywords

@article{0f422567f7434c9db064b7e5d0030b91,

title = "Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions",

keywords = "finite state transducers, phonological features, sequential functions",

author = "Magdalena Markowska and Jeffrey Heinz",

year = "2023",

language = "English",

volume = "217",

pages = "270--274",

journal = "Proceedings of Machine Learning Research",

issn = "2640-3498",

note = "16th International Conference on Grammatical Inference, ICGI 2023 ; Conference date: 10-07-2023 Through 13-07-2023",

}

TY - JOUR

T1 - Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions

AU - Markowska, Magdalena

AU - Heinz, Jeffrey

PY - 2023

Y1 - 2023

KW - finite state transducers

KW - phonological features

KW - sequential functions

UR - https://www.scopus.com/pages/publications/85173944086

M3 - Conference article

AN - SCOPUS:85173944086

SN - 2640-3498

VL - 217

SP - 270

EP - 274

JO - Proceedings of Machine Learning Research

JF - Proceedings of Machine Learning Research

T2 - 16th International Conference on Grammatical Inference, ICGI 2023

Y2 - 10 July 2023 through 13 July 2023

ER -