Indonesia's Language Infrastructure

Building Indonesia's Language Infrastructure
for Humans and AI.

Preserve languages. Empower communities. Enable ethical AI.

Peta Bahasa

Language Infrastructure

Explore Indonesia's linguistic landscape through structured geographic and language data.

Province Explore Indonesia
Linguistic Data

Explore Indonesia

Hover over a province to explore available linguistic data.

Our Products

One Language Infrastructure. Multiple Ways to Participate.

"bahasabahasa" is building connected tools for exploring, learning, assessing, connecting, and advancing Indonesia's languages.

Connect In Development

Kawan Bahasa

A future language companion connecting learners, speakers, educators, and AI-assisted language experiences.

Learn Planned

Kursus Bahasa

Structured learning pathways for Indonesian and regional languages, designed to grow alongside educators and communities.

Learn Planned

Kelas Bahasa

A learning space connecting students with teachers, language practitioners, and future community-led classes.

Assess Live

Uji Bahasa Indonesia Playground

An independent learning and preparation playground for practicing Bahasa Indonesia through structured reading, language control, listening, and speaking activities with learning-focused feedback.

Start Practice
Build Research & Development

Jembatan Bahasa

Language technology infrastructure for translation, annotation, human review, AI training, and future integration with Ukara.

Community

Language Infrastructure Is Built With People.

"bahasabahasa" is designed to grow with speakers, educators, researchers, annotators, AI trainers, and builders who care about Indonesia's languages.

01

Language Speakers

Share lived language knowledge, expressions, local usage, and linguistic context that cannot be captured by technology alone.

02

Educators

Help shape learning materials, classes, assessments, and future language-learning pathways across the platform.

03

Researchers

Study linguistic data, document methodology, evaluate limitations, and contribute to responsible language research.

04

Annotators & AI Trainers

Review language tasks, annotate difficult cases, evaluate AI outputs, and help create traceable datasets for future language technology.

05

Builders

Develop interfaces, data pipelines, tools, and language technology that turn research and community knowledge into useful systems.

Technology can organize, connect, and extend language knowledge. The knowledge itself begins with people.

Participation pathways will open progressively as "bahasabahasa" enters service.

Research

Infrastructure Should Be Understandable, Not Just Usable.

"bahasabahasa" documents how its language infrastructure is built — including data sources, processing methods, validation, limitations, and lessons learned along the way.

Methodology

Show the Process

Data pipelines, transformations, and validation decisions should be documented so the resulting infrastructure can be understood and reviewed.

Provenance

Preserve the Source

Linguistic records retain province-level source information so users can trace data back to the institution and dataset from which it originated.

Limitations

Document the Gaps

Differences between geographic and linguistic datasets are recorded rather than silently corrected or hidden.

Peta Bahasa is an evolving research infrastructure. Dataset coverage reflects the sources and geographic snapshots currently integrated into the platform.

Research documentation will expand alongside the platform.

About "bahasabahasa"

Building Indonesia's Language Infrastructure for Humans and AI.

Indonesia's languages carry knowledge, identity, history, and ways of understanding the world.

"bahasabahasa" exists to help preserve, connect, and responsibly advance that linguistic heritage through technology, research, learning, and human participation.

Our Direction

Build infrastructure that helps Indonesia's languages remain accessible, useful, and represented as technology continues to evolve.

01

Language communities come before technology.

02

Sources, methods, and limitations should remain visible.

03

AI should extend human knowledge, not erase its context.

"bahasabahasa" is being built as long-term infrastructure — one language, dataset, experiment, and contribution at a time.