Applications of speech-to-text recognition and computer-aided translation for facilitating cross-cultural learning through a learning activity: issues and their solutions

Applications of speech-to-text recognition and computer-aided translation for facilitating... In this study, 21 university students, who represented thirteen nationalities, participated in an online cross-cultural learning activity. The participants were engaged in interactions and exchanges carried out on Facebook® and Skype® platforms, and their multilingual communications were supported by speech-to-text recognition (STR) and computer-aided translation (CAT) systems. The participants spoke in their native languages, and the STR system generated texts from their voice input. The CAT system then simultaneously translated the STR-texts into English. The aim of this study was to examine the accuracy rates of STR and CAT processes for different languages during intercultural communication. We also explored issues associated with these processes and how they were addressed in the study context. In addition, an attempt was made to determine whether or not our learning activity as supported by STR and CAT technologies facilitated cross-cultural learning. Our results showed that the lowest STR accuracy rate was for Belizean English whereas the highest STR accuracy rate was for French and Hindi. The lowest CAT accuracy rate was for Mongolian and Filipino, and the highest was for Spanish, Russian, and French. Seven issues associated with the STR process and ten issues associated with the CAT process were identified. The participants employed ten workarounds to address the STR-related issues and thirteen workarounds to address the CAT-related issues. We refer to a workaround as a method used by the participants to overcome a limitation related to either STR or CAT. Finally, our results demonstrated that cross-cultural learning took place; the participants understood and could explain foreign traditions to others and could also compare foreign traditions with their own. Based on our results, we made several suggestions and provided implications for the teaching and research community. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Educational Technology Research and Development Springer Journals

Applications of speech-to-text recognition and computer-aided translation for facilitating cross-cultural learning through a learning activity: issues and their solutions

Loading next page...
 
/lp/springer_journal/applications-of-speech-to-text-recognition-and-computer-aided-EbqS03f0zm
Publisher
Springer US
Copyright
Copyright © 2017 by Association for Educational Communications and Technology
Subject
Education; Educational Technology; Learning and Instruction
ISSN
1042-1629
eISSN
1556-6501
D.O.I.
10.1007/s11423-017-9556-8
Publisher site
See Article on Publisher Site

Abstract

In this study, 21 university students, who represented thirteen nationalities, participated in an online cross-cultural learning activity. The participants were engaged in interactions and exchanges carried out on Facebook® and Skype® platforms, and their multilingual communications were supported by speech-to-text recognition (STR) and computer-aided translation (CAT) systems. The participants spoke in their native languages, and the STR system generated texts from their voice input. The CAT system then simultaneously translated the STR-texts into English. The aim of this study was to examine the accuracy rates of STR and CAT processes for different languages during intercultural communication. We also explored issues associated with these processes and how they were addressed in the study context. In addition, an attempt was made to determine whether or not our learning activity as supported by STR and CAT technologies facilitated cross-cultural learning. Our results showed that the lowest STR accuracy rate was for Belizean English whereas the highest STR accuracy rate was for French and Hindi. The lowest CAT accuracy rate was for Mongolian and Filipino, and the highest was for Spanish, Russian, and French. Seven issues associated with the STR process and ten issues associated with the CAT process were identified. The participants employed ten workarounds to address the STR-related issues and thirteen workarounds to address the CAT-related issues. We refer to a workaround as a method used by the participants to overcome a limitation related to either STR or CAT. Finally, our results demonstrated that cross-cultural learning took place; the participants understood and could explain foreign traditions to others and could also compare foreign traditions with their own. Based on our results, we made several suggestions and provided implications for the teaching and research community.

Journal

Educational Technology Research and DevelopmentSpringer Journals

Published: Dec 12, 2017

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off