Transdisciplinary Intersections in Second Language Pronunciation Learning and Teaching

Abstract As we work to advance the field of second language (L2) pronunciation teaching and learning, we look to other fields that have guided advancements in the teaching of other aspects of language learning. Fields such as corpus linguistics, pragmatics, instructed second language acquisition (SLA), psycholinguistics, technology, and assessment have served to inform and shape major changes in applied linguistics, and their impacts have been eminent in the field of L2 pronunciation teaching and learning as well. In fact, the current popularity of artificial intelligence (AI) and automated speech recognition (ASR) development have been particularly facilitative in this collaborative movement, as they offer vast opportunities in applications and practices in L2 pronunciation.

Authors

Institutions

Publication Details

Journal
Language Learning
Published
2025-07-14
DOI
https://doi.org/10.1111/lang.70001
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Transdisciplinary Intersections in Second Language Pronunciation Learning and Teaching

Shelley Staples, Okim Kang
Language Learning
Phonetics and Phonology Research
article

Transdisciplinary Intersections in Second Language Pronunciation Learning and Teaching

Shelley Staples, Okim Kang
article en

Abstract

Abstract As we work to advance the field of second language (L2) pronunciation teaching and learning, we look to other fields that have guided advancements in the teaching of other aspects of language learning. Fields such as corpus linguistics, pragmatics, instructed second language acquisition (SLA), psycholinguistics, technology, and assessment have served to inform and shape major changes in applied linguistics, and their impacts have been eminent in the field of L2 pronunciation teaching and learning as well. In fact, the current popularity of artificial intelligence (AI) and automated speech recognition (ASR) development have been particularly facilitative in this collaborative movement, as they offer vast opportunities in applications and practices in L2 pronunciation.

Language LearningVol. 75(S1)
University of Arizona (US), Northern Arizona University (US)
Openalex Percentile: Top 83%
Phonetics and Phonology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Transdisciplinary Intersections in Second Language Pronunciation Learning and Teaching — Shelley Staples, Okim Kang · Language Learning (2025) | TGRS Research Map | TGRS