Temat: réduplication - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: On regular copying languages
Autorzy:: Wang, Yang
Hunter, Tim
Powiązania:: https://bibliotekanauki.pl/articles/24201233.pdf
Data publikacji:: 2023
Wydawca:: Polska Akademia Nauk. Instytut Podstaw Informatyki PAN
Tematy:: reduplication
copying
finite-state machinery
queue automata
Opis:: This paper proposes a formal model of regular languages enriched with unbounded copying. We augment finite-state machinery with the ability to recognize copied strings by adding an unbounded memory buffer with a restricted form of first-in-first-out storage. The newly introduced computational device, finite-state buffered machines (FS-BMs), characterizes the class of regular languages and languages de-rived from them through a primitive copying operation. We name this language class regular copying languages (RCLs). We prove a pumping lemma and examine the closure properties of this language class. As suggested by previous literature (Gazdar and Pullum 1985, p.278), regular copying languages should approach the correct characteriza-tion of natural language word sets.
Źródło:: Journal of Language Modelling; 2023, 11, 1; 1--66
2299-856X
2299-8470
Pojawia się w:: Journal of Language Modelling
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Learning reduplication with a neural network that lacks explicit variables
Autorzy:: Prickett, Brandon
Traylor, Aaron
Pater, Joe
Powiązania:: https://bibliotekanauki.pl/articles/24201229.pdf
Data publikacji:: 2022
Wydawca:: Polska Akademia Nauk. Instytut Podstaw Informatyki PAN
Tematy:: neural networks
reduplication
symbolic computation
connectionism
generalization
phonology
Opis:: Reduplicative linguistic patterns have been used as evidence for explicit algebraic variables in models of cognition.1 Here, we show that a variable-free neural network can model these patterns in a way that predicts observed human behavior. Specifically, we successfully simulate the three experiments presented by Marcus et al. (1999), as well as Endress et al.’s (2007) partial replication of one of those experiments. We then explore the model’s ability to generalize reduplicative mappings to different kinds of novel inputs. Using Berent’s (2013) scopes of generalization as a metric, we claim that the model matches the scope of generalization that has been observed in humans. We argue that these results challenge past claims about the necessity of symbolic variables in models of cognition.
Źródło:: Journal of Language Modelling; 2022, 10, 1; 1--38
2299-856X
2299-8470
Pojawia się w:: Journal of Language Modelling
Dostawca treści:: Biblioteka Nauki

Artykuł

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