Linguistic pragmatism, lingua francae, and language death in Indonesia

Sewell, Yvonne

doi:10.54475/jlt.2022.015

Cited by 2 publications

(1 citation statement)

References 15 publications

(7 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, Indonesia's past colonization by various European powers and trading relationships with its neighboring countries have also influenced the development and usage of different languages. Despite the rich linguistic diversity in Indonesia, many of the local languages are endangered [3]. The Indonesian government has recognized this issue and has taken steps to preserve and promote local languages through policies such as providing education in local languages and encouraging the use of local languages in media and literature.…”

Section: Introductionmentioning

confidence: 99%

Analysis of language identification algorithms for regional Indonesian languages

Sujaini,

Bijaksana Putra

2024

IJ-AI

View full text Add to dashboard Cite

Detecting local languages in Indonesia is essential for recognizing linguistic diversity, promoting intercultural understanding, preserving endangered languages, and improving access to education and services. By identifying and documenting these languages, we can support language preservation efforts, provide tailored resources for communities, and celebrate the unique cultural heritage of different ethnic groups. Ultimately, this encourages a more accepting and open-minded society, prioritizing various languages and cultural customs. This research aims to identify the most suitable algorithm for language detection in Indonesian regional languages and gain insights into their unique characteristics through n-gram analysis. By understanding language diversity, the study contributes to preserving Indonesia's cultural and linguistic heritage and improving language detection techniques. This study compares the performance of five algorithms (Naïve Bayes, K-nearest neighbors (KNN), least-squares, Kullback Leibler divergence, and Kolmogorov Smirnov test) to determine the most accurate and efficient method for language identification. Incorporating trigram features alongside unigrams and bigrams significantly improved the model's performance, with F1 scores increasing from 0.923 to 0.959. The study found that using more features leads to better accuracy, with Naïve Bayes and KNN emerging as the top-performing algorithms for language identification.

show abstract

Section: Introductionmentioning

confidence: 99%

Analysis of language identification algorithms for regional Indonesian languages

Sujaini,

Bijaksana Putra

2024

IJ-AI

View full text Add to dashboard Cite

show abstract

Enhancing speaking agility: unveiling Indonesian lecturers’ hybrid teaching experiences in oral communication skills

Musliadi,

Triyono,

Jamilah

2024

Language Learning in Higher Education

View full text Add to dashboard Cite

In the rapidly evolving educational landscape, this study investigates the effectiveness of hybrid teaching methods in enhancing oral communication skills in Indonesian higher education, marking a critical exploration at the intersection of digital and traditional pedagogies. Anchored in a qualitative research methodology, it seeks to unpack the complex experiences of Indonesian lecturers using hybrid teaching methods to enhance university students’ oral communication skills. Data were meticulously gathered through a Google Forms survey consisting of 12 open-ended questions. The survey, conducted from March to August 2023, targeted lecturers from diverse geographical regions of Indonesia, ensuring a wide range of teaching experiences. Results reveal that lecturers are motivated by the need to adapt to pandemic restrictions, expand educational accessibility, and integrate technology into teaching. They employ a variety of hybrid teaching methods, including live online lectures, in-person workshops, flipped classrooms, and project-based learning. These strategies are supported by various technological tools such as Zoom, Google Classroom, Slack, Padlet, and Mentimeter. Despite the benefits, lecturers face challenges such as varying levels of technological access and proficiency among students, maintaining engagement, and managing increased workloads. The study highlights the importance of culturally responsive teaching practices, integrating culturally relevant materials, and using interactive digital tools to enhance oral communication skills. Continuous professional development and institutional support are essential for the success of hybrid teaching methods. This research offers valuable insights and recommendations for optimizing oral communication skills in hybrid learning, with lessons adaptable to multicultural and multilingual contexts worldwide.

show abstract

Linguistic pragmatism, lingua francae, and language death in Indonesia

Cited by 2 publications

References 15 publications

Analysis of language identification algorithms for regional Indonesian languages

Analysis of language identification algorithms for regional Indonesian languages

Enhancing speaking agility: unveiling Indonesian lecturers’ hybrid teaching experiences in oral communication skills

Contact Info

Product

Resources

About