Japanese language learning game “Miryoku” using android-based speech recognizer API

Wibawa, Rio; Lokacarya, Adhiwira; Kurniawan, Felix; Udjaja, Yogi

doi:10.1016/j.procs.2022.12.168

Cited by 5 publications

(6 citation statements)

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“…Mitsuki, here is the context behind the use of shuujoshi joseigo. Here are the types of shuujoshi joseigo used by Nase Mitsuki and their functions (Wibawa et al, 2023).…”

Section: Resultsmentioning

confidence: 99%

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Nase Mitsuki's Use of Shuujoshi Joseigo in Kyoukai No Kanata

Khasanah,

Diah Permata,

Wahyuddin

2023

JTUS

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This thesis discusses about the purpose of shuujoshi joseigo that is used by Nase Mitsuki from “Kyoukai no Kanata”. This study aims to describe the type and purpose of using shuujoshi joseigo, especially the ones that are used by Nase Mitsuki based on the contexts. The data are dialogues by Nase Mitsuki that use joseigo wo sshiatsushuujoshi from episodes 1-6 of “Kyoukai no Kanata”. This study uses the descriptive method as the research design, and sociolinguistics as its approach. From the data, it was found that Nase Mitsuki uses 13 types of joseigo wo shimesu shuujoshi from 1st to 6th episode of “Kyoukai no Kanata”. They are no, wa, yo, ne, kashira, noyo, wayo, none, wane, kotone, wayone, noyone, dan nanoyo, in which purposes are to soften an expression (5), to show a question (3), doubt (1), insult (2), complain (4), confirmation (3), admiration (1), suggestion (1), feeling (1) and agreement (2).

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“…Mitsuki, here is the context behind the use of shuujoshi joseigo. Here are the types of shuujoshi joseigo used by Nase Mitsuki and their functions (Wibawa et al, 2023).…”

Section: Resultsmentioning

confidence: 99%

“…This research uses qualitative analysis techniques with descriptive methods. The data used is the shuujoshi joseigo used by Nase Mitsuki in the anime "Kyoukai no Kanata" episodes 1 to 6 of a total of 12 episodes (Wibawa et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

Nase Mitsuki's Use of Shuujoshi Joseigo in Kyoukai No Kanata

Khasanah,

Diah Permata,

Wahyuddin

2023

JTUS

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“…The main concept of this application would be an application that consists of multiple levels and a drawing canvas to assess learners' handwriting corresponding to each predefined character. The application will also involve a machine learning model to support the application, similar to [34], [37], [38].…”

Section: Methodsmentioning

confidence: 99%

“…To ensure broad accessibility and installation of the application, the distribution will be made on two major mobile platforms: Android (Google Drive) and iOS (TestFlight) [38]. This decision aims to allow a wide range of volunteers and Hanzi learners within higher education institutions to access and assess this application.…”

Section: Methodsmentioning

confidence: 99%

MobileNetV3-based Handwritten Chinese Recognition Towards the Effectiveness of Learning Hanzi

Liang,

Tony Tan,

Jonathan

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Writing Mandarin characters is considered the most challenging component for beginners due to the rules and character formations. This paper explores the potential of a machine learning-based digital learning tool for writing Mandarin characters. It also conducts a comparative study between MobileNetV2 and MobileNetV3, exploring different configurations. The research follows the Multimedia Development Life Cycle (MDLC) method to create both the application and machine learning models. Participants from higher education institutions that offer Mandarin courses in Batam, Indonesia, were involved in a User Acceptance Test (UAT). Data was gathered through questionnaires and analyzed using the System Usability Scale (SUS) methods. The results show positive user acceptance, with an SUS score of 77.92%, indicating a high level of acceptability. MobileNetV3Small was also preferred for recognizing the user’s handwriting, due to comparable accuracy size, rapid inference time, and smallest model size. While the application was well-received, several participants provided constructive feedback, suggesting potential improvements.

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“…Learning with e-learning can be done by students anywhere and anytime without being limited by time. Wibawa et al have designed e-learning by creating a speech recognition technology game for essential Japanese language learning [6].…”

Section: Introductionmentioning

confidence: 99%

An Android e-Learning Application to Support Academic Learning: Design, Development, and Implementation of a Case Study

Tjahjamoorniarsih,

Putra,

Kusumawardhani

et al. 2023

IJEETC

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After the pandemic, Indonesia became one of the countries that imposed a new normal for all levels of society with various sectors of life. The education sector is one of the areas most highlighted in the new normal change. Various policies and learning methods have been attempted to implement distance education. In the current new normal, distance learning is a beneficial method in implementing education in Indonesia. The delivery of learning materials is carried out by sending materials and meeting face-to-face online using video conferencing applications and materials provided on online storage services. Both methods are now available on separate platforms and have not been integrated into one platform, making it difficult for users. It has shortcomings in terms of optimization in providing learning services. In addition, the method used today still has several weaknesses, such as adjusting the learning schedule, understanding that is more difficult to accept because it is done online and also not yet integrated between face-to-face materials and media on a mobile device. This study aims to design an Android-based e-learning application that can assist students’ learning process and help distribute learning materials. The application is designed to meet the needs of students in understanding the material more optimally and can be done without being limited in time. The results of research that have been carried out on student satisfaction obtained a percentage level of 94% which stated satisfaction in the use of learning applications. Satisfaction with the help of the application says that e-learning applications can improve academic abilities and skills in the fields they study.

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Japanese language learning game “Miryoku” using android-based speech recognizer API

Cited by 5 publications

References 1 publication

Nase Mitsuki's Use of Shuujoshi Joseigo in Kyoukai No Kanata

Nase Mitsuki's Use of Shuujoshi Joseigo in Kyoukai No Kanata

MobileNetV3-based Handwritten Chinese Recognition Towards the Effectiveness of Learning Hanzi

An Android e-Learning Application to Support Academic Learning: Design, Development, and Implementation of a Case Study

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