Learning and Long-Term Retention of Large-Scale Artificial Languages


Advertisements
Advertisements

Artificial Languages blue bright lights
Photo by Pixabay on Pexels.com

ABSTRACT: Learning and Long-Term Retention of Large-Scale Artificial Languages

Recovering discrete words from continuous speech is one of the first challenges facing language learners. Infants and adults can make use of the statistical structure of utterances to learn the forms of words from unsegmented input, suggesting that this ability may be useful for bootstrapping language-specific cues to segmentation. It is unknown, however, whether performance shown in small-scale laboratory demonstrations of “statistical learning” can scale up to allow learning of the lexicons of natural languages, which are orders of magnitude larger. Artificial language experiments with adults can be used to test whether the mechanisms of statistical learning are in principle scalable to larger lexicons. We report data from a large-scale learning experiment that demonstrates that adults can learn words from unsegmented input in much larger languages than previously documented and that they retain the words they learn for years. These results suggest that statistical word segmentation could be scalable to the challenges of lexical acquisition in natural language learning.

Keywords: artificial languages

____________________________

Publisher: Public Library of Science

Date Published: 2-January-2013

Author(s): Frank M., Tenenbaum J., Gibson E.

Link: https://doi.org/10.1371/journal.pone.0052500

 


Related Links:

Research Summary: Language Proficiency Modulates the …

In the present study, we sought to examine whether these effects relate to language proficiency or order of language acquisition by testing Spanish-English …

Research Summary: Language Evolution – Chromoscience

How did language develop and evolve? Here, linguists, cognitive scientists, behavioural ecologists, and theoretical biologists all offer their disparate views …

Research Abstract: SBOL Visual: A Graphical Language for Genetic …

Abstract Synthetic Biology Open Language (SBOL) Visual is a graphical standard for genetic engineering. It consists of symbols representing DNA subsequences …

Research Summary: Risk and protective factors for child …

Sep 27, 2019 — ABSTRACT Background Approximately 250 million (43%) children under the age of 5 years in low- and middle-income countries (LMICs) are …

Leave a Reply

Your email address will not be published. Required fields are marked *