Emergence of a phonological bias in ChatGPT

Fuente: arXiv
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Main Author: Toro, Juan Manuel
Format: Preprint
Published: 2023
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author Toro, Juan Manuel
author_facet Toro, Juan Manuel
contents Current large language models, such as OpenAI's ChatGPT, have captured the public's attention because how remarkable they are in the use of language. Here, I demonstrate that ChatGPT displays phonological biases that are a hallmark of human language processing. More concretely, just like humans, ChatGPT has a consonant bias. That is, the chatbot has a tendency to use consonants over vowels to identify words. This is observed across languages that differ in their relative distribution of consonants and vowels such as English and Spanish. Despite the differences in how current artificial intelligence language models are trained to process linguistic stimuli and how human infants acquire language, such training seems to be enough for the emergence of a phonological bias in ChatGPT
format Preprint
id arxiv_https___arxiv_org_abs_2305_15929
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Emergence of a phonological bias in ChatGPT
Toro, Juan Manuel
Computation and Language
Current large language models, such as OpenAI's ChatGPT, have captured the public's attention because how remarkable they are in the use of language. Here, I demonstrate that ChatGPT displays phonological biases that are a hallmark of human language processing. More concretely, just like humans, ChatGPT has a consonant bias. That is, the chatbot has a tendency to use consonants over vowels to identify words. This is observed across languages that differ in their relative distribution of consonants and vowels such as English and Spanish. Despite the differences in how current artificial intelligence language models are trained to process linguistic stimuli and how human infants acquire language, such training seems to be enough for the emergence of a phonological bias in ChatGPT
title Emergence of a phonological bias in ChatGPT
topic Computation and Language
url https://arxiv.org/abs/2305.15929