Attrition of Oral Communicative Ability among English Language Graduates in Turkey

Valizadeh, Mohammadreza

doi:10.7575/aiac.alls.v.12n.1.p.59

Cited by 2 publications

(2 citation statements)

References 39 publications

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“…In addition, it is not necessary to keep the matrix parallelism of all the frames and the matrix components, because only three networks of the previous line are used in the calculation counts for each network point in each row. e combined use of these two functions can reduce computing and storage space [14].…”

Section: Dynamic Time Warping (Dtw) Recognition Algorithmmentioning

confidence: 99%

An Auxiliary Teaching System for Spoken English Based on Speech Recognition Technology

Bao

2022

Scientific Programming

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Because the English language has always been inaccurate and seemed difficult to correct errors, this development has created a reputation based on improvements to the DWJ algorithm and HMM speech scores and correction mistake. In this paper, different signal characteristics are used using the DWJ algorithm: the Mel frequency cepstrum coefficient compares the standard speech library and the distance between the speech sample and the sample message received. The conversation deciphered the Viterbi code according to the HMM model, which was recognized and evaluated by posteriori probabilities. Finally, the professional data were used to fix the wrong phone to determine, score, and make repair mistakes. The results of the experiments show that the tests used in this article are reliable. The results of the experiment show that the standard English language proficiency in this article is reliable, which can provide students with timely, accurate, and objective assessment and teaching feedback, improving English language proficiency.

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Section: Dynamic Time Warping (Dtw) Recognition Algorithmmentioning

confidence: 99%

An Auxiliary Teaching System for Spoken English Based on Speech Recognition Technology

Bao

2022

Scientific Programming

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“…Unlike the present study, they examined the attrition of graduate students who learned multiple and consecutive foreign languages rather than focusing on one. Valizadeh (2021) and Zinyuk and Waiti (2021) conducted the two most relevant studies. Walizadeh (2021) investigated the relationship between age, language attrition, and language maintenance, which also became the researchers' proposition in this study.…”

Section: Introductionmentioning

confidence: 99%

English Language Attrition Levels and Language Maintenance Efforts among Indonesian Non-English Department Students

Uswatun Khasanah,

Widiati,

Tresnadewi

et al. 2024

REGISTER J.

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In the EFL context, the primary linguistic environment for learners is a formal classroom in which they receive input, feedback, and opportunities to practice with teachers and other learners. However, as learners graduate from schools, they might no longer have access to such an environment and thus be deprived of the main intake to support acquisition and retention, which makes them susceptible to language attrition. This study aims to explore the levels of attrition experienced by 165 multilingual non-English department students 30 months after graduating from their secondary schools, the possible factors associated with attrition, and the predictive power of some language maintenance efforts (LMEs) on English attrition. The participants took standardized English tests, that is, Test 1 and Test 2 administered within a 24-month interval and responded to a questionnaire about LMEs. A paired t-test was used to establish a link between attrition level and the identified factors. A multiple linear regression analysis was conducted to determine the predictive power of LMEs for attrition. The results show that learners with different proficiency levels experience different levels of attrition. Factors like attitude and motivation showed different degrees of correlation with attrition. A negative correlation was found in the three dimensions of LMEs: entertainment, literacy activity, and academic activity. Contrary to popular literature on first- and second-language attrition, the dimension of social interaction has a very low predictive power for foreign-language attrition.

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Attrition of Oral Communicative Ability among English Language Graduates in Turkey

Cited by 2 publications

References 39 publications

An Auxiliary Teaching System for Spoken English Based on Speech Recognition Technology

An Auxiliary Teaching System for Spoken English Based on Speech Recognition Technology

English Language Attrition Levels and Language Maintenance Efforts among Indonesian Non-English Department Students

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