Inclusive Language Understanding through AI
AI has huge potential to aid language understanding, improve education and communication access, and promote cultural diversity for marginalized and minority languages.
Current language models do not cover all languages.
Large language models do not cover under-resourced or marginalized languages. Thus, these languages have limited support for language preservation and development.
Each language is unique and has its own set of idioms and dialects. In addition, languages reflect cultural values and practices.
The need for machine translation and language models for local languages.
Creating a language model for a local language is a crucial step in developing any type of AI solution (e.g. mis/ disinformation detection). It involves training a statistical model using natural language processing techniques to analyze and understand language, by learning patterns and relationships between words, phrases, and sentences, and making predictions about the likelihood of the next word in a sentence.
Impact beyond language preservation.
AI-powered language understanding through documentation, translation, and speech recognition can:
Promote and preserve cultural diversity by documenting and studying underrepresented languages
Improve disaster management by enabling effective communication and information sharing with speakers of underrepresented languages
Cope with mis and disinformation by enabling accurate translation and analysis of underrepresented languages, allowing for more effective fact-checking and communication
Enable economic empowerment by improving access to education, information, and job opportunities for speakers of underrepresented languages
Aid policy enforcement by providing accurate translation and interpretation services for underrepresented languages, improving communication and understanding between officials and citizens
Advance research and development in linguistics, anthropology, and other fields
Case studies. From preservation to misinformation
The role of Omdena´s local chapters.
Omdena’s global presence with our local chapters allows members who speak the local languages to contribute to creating inclusive language models and build AI solutions representative for marginalized and minority languages.
Our partners. Driving impact together.
AI for Peace
Kenya Red Cross Society
Endangered Wildlife OÜ
Brand Love Intelligence
Global Partnership for Sustainable Development Data
Brain Pool Tech
Envisionit Deep AI
In the span of 2 months, the team successfully leveraged the existing knowledge in the domain of hate speech and was able to deliver significant results. The team used the power of Language modeling to power an API that can constantly segregate a sentence as a positive or a negative hate speech.
Our talent. Vetted through our pool of 60,000 technologists
- Vetted through 300+ hours of projects
- Expertise on a variety of topics
- From over 65 countries