Menu
NLP HUB
Growing underserved languages. Bringing NLP tools to all.
About Us
Natural Language Processing or NLP has been around since the time programmable digital computers were invented. It is only natural that we would like computers to be able to ‘understand’ our language if we want them to assist us in many aspects of our life that involve communication. As with the other fields of Artificial Intelligence, NLP has seen a great development in the last decade, combining its rich fundamentals and research with modern computing power and new model architectures to achieve new heights in language understanding and implementations.
In NLP Hub, we focus on building products that will bring those elements together and create tools that are not yet available in the market. We aim to make those tools accessible to anyone or any company who wishes to utilise the power of language processing to its fullest potential.
In addition, we aim to bring local research and languages of the region (Southeast Asia) to the forefront, developing the necessary tools and models that would help companies grow.
Our Projects
To that end and with a holistic end-to-end approach in mind we have been working recently on 2 main projects:
Aims to promote the development of NLP in Southeast Asia and be the central hub for it. The current focus is on “core” NLP – tasks such as part-of-speech tagging, syntactic parsing or semantic role labeling etc. for Southeast Asian languages.
Aims to bridge the gap between the industry and Singapore-based research groups to accelerate the growth of applied and translational research in NLP.
And more...
SEACoreNLP
Aims to promote the development of NLP in Southeast Asia and be the central hub for it. The current focus is on “core” NLP – tasks such as part-of-speech tagging, syntactic parsing or semantic role labeling etc. for Southeast Asian languages.
SG-NLP
Aims to bridge the gap between the industry and Singapore-based research groups to accelerate the growth of applied and translational research in NLP.
SenseMaker
Tackles the problem of text annotation using weak supervision and active learning approaches.
Hasky
Information Retrieval and Question Answering system builder that uses self supervised training techniques to significantly reduce the need for text annotation.
Beagle
Information Retrieval with an emphasis on gradual data accumulation while monitoring model development and controlling “data drift”