Multilingual AI
Exploring AI systems that can work across India's diverse languages, rather than assuming that everyone communicates in English.
Area of interest
An independent technology initiative
AI for
India's languages.
Exploring how AI can better understand the way people communicate across languages, scripts, and cultures.
Early-stage exploration · Multilingual AI · India
LANGUAGE IN THE REAL WORLD
● EXPLORING
English + Hindi
Meeting kal schedule karte hain.
One conversation. Multiple languages.
A multilingual reality
हिन्दी
বাংলা
தமிழ்
తెలుగు
मराठी
ગુજરાતી
ಕನ್ನಡ
മലയാളം
ਪੰਜਾਬੀ
ଓଡ଼ିଆ
অসমীয়া
Language diversity is a design challenge.
01 / AREAS OF EXPLORATION
Building for how people actually communicate.
Our initial interests sit at the intersection of language technology, informal communication, and multilingual AI.
Code-Mixed NLP
Investigating language understanding when people naturally mix English and Indic languages within the same sentence or conversation.
Initial focusRomanized Indic
Exploring how AI can handle Indic languages written in Latin script, including informal spellings and everyday transliteration.
Area of interest02 / OUR APPROACH
Understand the language before building the solution.
Real-world language is messy. People switch between languages, use regional expressions, write words phonetically, and vary their spelling from one message to the next.
We are interested in understanding these variations through language data, model evaluation, and experimentation with multilingual AI techniques.
A
Data and representation
Explore how multilingual and code-mixed text can be represented and evaluated.
B
Models and evaluation
Investigate model behavior across language combinations, scripts, and spelling variants.
C
Practical applications
Work toward useful AI applications that reflect how multilingual communities communicate.
03 / ABOUT BHASHA LABS
A long-term interest in language-aware AI.
Bhasha Labs is an independent, early-stage technology initiative exploring practical AI for India's multilingual environment.
We are beginning with code-mixed language understanding and Romanized Indic text, with a broader interest in making AI more useful across languages and communication styles.
Our current work is exploratory. We aim to develop this direction through research, experimentation, and iterative prototyping.
04 / GET IN TOUCH
Interested in multilingual AI?
We welcome conversations with researchers, developers, and others interested in language technology.
Contact Bhasha Labs