Publication Date
| In 2026 | 0 |
| Since 2025 | 1 |
| Since 2022 (last 5 years) | 2 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Dialects | 3 |
| Natural Language Processing | 3 |
| Information Technology | 2 |
| Pronunciation | 2 |
| Acoustics | 1 |
| African American Students | 1 |
| Artificial Intelligence | 1 |
| Audio Equipment | 1 |
| Beliefs | 1 |
| Black Dialects | 1 |
| Computational Linguistics | 1 |
| More ▼ | |
Publication Type
| Dissertations/Theses -… | 2 |
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
| Early Childhood Education | 1 |
| Elementary Education | 1 |
| Higher Education | 1 |
| Kindergarten | 1 |
| Postsecondary Education | 1 |
| Primary Education | 1 |
Audience
Location
| California | 1 |
| Georgia (Atlanta) | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Dania Bilal; Li-Min Cassandra Huang – Information and Learning Sciences, 2025
Purpose: This paper aims to investigate user voice-switching behavior in voice assistants (VAs), embodiments and perceived trust in information accuracy, usefulness and intelligence. The authors addressed four research questions: RQ1. What is the nature of users' voice-switching behavior in VAs? RQ2: What are user preferences for embodied voice…
Descriptors: Undergraduate Students, Artificial Intelligence, Natural Language Processing, Information Retrieval
Alexander Johnson – ProQuest LLC, 2024
The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…
Descriptors: Audio Equipment, Black Dialects, African American Students, Equal Education
Heintz, Ilana – ProQuest LLC, 2010
The goal of this dissertation is to introduce a method for deriving morphemes from Arabic words using stem patterns, a feature of Arabic morphology. The motivations are three-fold: modeling with morphemes rather than words should help address the out-of-vocabulary problem; working with stem patterns should prove to be a cross-dialectally valid…
Descriptors: Semitic Languages, Dialects, Vowels, Morphemes

Peer reviewed
Direct link
