Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-nr4z6 Total loading time: 0 Render date: 2024-06-11T11:18:46.893Z Has data issue: false hasContentIssue false

3 - Productivity Effects on Morphological Processing in Maltese Auditory Word Recognition

from Part I - In What Ways Is Language Processing Tuned to the Morphological Structure of a Language?

Published online by Cambridge University Press:  19 May 2022

Andrea D. Sims
Affiliation:
Ohio State University
Adam Ussishkin
Affiliation:
University of Arizona
Jeff Parker
Affiliation:
Brigham Young University, Utah
Samantha Wray
Affiliation:
Dartmouth College, New Hampshire
Get access

Summary

Competing models of lexical access propose contrasting roles for morphological structure in word recognition. Whole-word models suggest that there are no separate representations for morphemes (e.g., Tyler et al. ); decomposition models posit that words are recognized by accessing their constituent morphemes (e.g., Taft et al. ); and hybrid models incorporate both pathways to recognition (e.g., Bertram et al. ). The relative productivity of a word’s derivational affixes may also play a role: words with unproductive affixes are processed holistically whereas words with productive derivational affixes are processed as a function of their morphemes (e.g., Balling and Baayen ). In this paper, we examine the role of the Semitic consonantal root, known to be a route for lexical retrieval, and its interaction with relative binyan productivity. Extending the methodology developed by Wray () for Jordanian Arabic, we investigate the Semitic language Maltese. Based on two auditory lexical decision experiments, we find a reverse base frequency effect in a productive binyan (words with more frequent roots are recognized more slowly than words with less frequent roots), and in two less productive binyanim we find no base frequency effect. This supports the validity of models in which morphological decomposition is relevant strictly for productive affixes.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×