The relationship between the features of Neural Machine Translation (NMT) and university students’ lexical growth

Salleh, Saiful Daniel and Sahar, Rafidah (2022) The relationship between the features of Neural Machine Translation (NMT) and university students’ lexical growth. International young scholars journal of languages, 5 (1). pp. 13-25. E-ISSN 0128-2573

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Abstract

The rise of technology from the previous years has contributed to the improvement of Neural Machine Translation (NMT). In this context, machine translation is a process by which computer software is used to translate a text from one natural language (such as English) to another (such as Spanish). It is well established that the most frequent users of NMT are university students since they are dealing with languages in their pedagogy. This study explored the advantages of NMT among students in terms of their lexical development. Specifically, the study examined how features of NMT namely tangibility, assurance, and reliability were related to the lexical growth of university students. This quantitative study was conducted on 80 university students studying at Malaysian public universities through convenience sampling. Data were collected by a valid and reliable questionnaire that was distributed online. Data sets collected were analysed by SPSS-17 software. The findings indicated that tangibility, assurance, and reliability of the NMT do not have a positive relationship with the students’ lexical growth.

Item Type:	Article (Journal)
Uncontrolled Keywords:	Features of Neural Machine Translation (NMT); Tangibility of NMT; Assurance of the NMT; Reliability of NMT; Lexical growth
Subjects:	P Language and Literature > PE English
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Languages and Management
Depositing User:	Dr. Rafidah Sahar
Date Deposited:	07 Sep 2022 10:14
Last Modified:	07 Sep 2022 10:14
URI:	http://irep.iium.edu.my/id/eprint/99867

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