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All Journal Cendekiawan: Jurnal Pendidikan dan Studi Keislaman Fonologi: Jurnal Ilmuan Bahasa dan Sastra Inggris
Aulia Yunus
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Religion Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences Other

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Computational Approaches to Phonology: Advances in Speech Recognition and Synthesis Aulia Yunus; Novi Yanti; Yani Lubis
Cendekiawan : Jurnal Pendidikan dan Studi Keislaman Vol 2 No 1 (2023): Maret
Publisher : Yayasan Zia Salsabila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61253/cendekiawan.v2i1.160

Abstract

This article explores the field of computational approaches to phonology, with a particular focus on recent increases in popularity and speech synthesis. Phonology, as a department of linguistics, deals with the observation of sounds and their work in language. Recent improvements in this area have resulted in major improvements in accuracy and efficiency, towards the integration of deep recognition strategies together with recurrent neural networks (RNNs) and convolutional neural networks (CNNs). the models have tested the ability to capture complex phonetic patterns and decorate the overall performance of computerized speech reputation structures. These advances have seen packages in multiple domains, such as virtual assistants, text-to-speech structures, and language acquisition tools. This article looks at the main computational procedures used in phonology, along with characteristic-based representations, rule-based modes, and statistical methods. It explores demanding situations related to phonological evaluation, which include phoneme segmentation, pronunciation variants, and language-specific problems. In addition, this paper discusses mixing phonological knowledge with device learning strategies, which enables the development of robust and correct speech recognition and synthesis systems. As usual, this research represents remarkable advances from computational methods to phonology, particularly in the geographical area of speech recognition and synthesis. the combination of technology and linguistic insights has increased the accuracy, naturalness, and efficiency in processing spoken language. These enhancements open up new opportunities to enhance human-pc interaction, language recognition, and many other packages that rely on speech-based technologies.
Improving Students' Vocabulary Ability: Teacher Planning Strategies in English Language Teaching Aulia Yunus; Ayumi Seftina; Dwi Fatimah; Namira Syaharani; Khairunnisa Simanjuntak
Fonologi: Jurnal Ilmuan Bahasa dan Sastra Inggris Vol. 3 No. 1 (2025): March: Fonologi: Jurnal Ilmuan Bahasa dan Sastra Inggris
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/fonologi.v3i1.1450

Abstract

This research aims to explore the planning strategies implemented by teachers in improving students' vocabulary skills in teaching English. Vocabulary is an important component in language learning which influences students' communication skills and text comprehension. This research analyzes the various approaches used by teachers to develop students' vocabulary, as well as the challenges faced in planning and implementing these strategies in the classroom. Data was obtained through interviews with teachers, classroom observations, and analysis of learning implementation plan (RPP) documents. The research results show that strategies such as the use of visual media, contextual teaching, and regular repetition of vocabulary have proven effective in improving students' vocabulary skills. In addition, the teacher's role in creating an environment that supports vocabulary learning is very important in helping students master new words. This research provides insight for English teachers in planning more effective and innovative teaching to improve students' vocabulary skills.
Co-Authors Ayumi Seftina Dwi Fatimah Khairunnisa Simanjuntak Namira Syaharani Novi Yanti Yani Lubis