The unique challenge India presents to natural language processing
He emphasized the role of youth and emerging tech leaders in delivering scalable, secure, and intelligent solutions that could eventually be adopted into national data workflows. With over 300 participants in attendance, including senior government officials, academic leaders, researchers, and tech entrepreneurs, the Statathon aims to reimagine India’s statistical infrastructure. It focuses on all phases of the data lifecycle—collection, processing, analysis, and dissemination—and encourages a collaborative approach to developing digital public goods for Viksit Bharat (Developed India). NLP, a part of AI technology, is key in understanding and manipulating human language. Understanding a language means knowing words, phrases, syntactic forms and concepts and also knowing how to link those concepts together in a meaningful way.
Natural Language Processing (NLP) has the potential to broaden online access to a wider share of India’s population. AI (Artificial intelligence) is a subfield of computer science that was created in the 1960s, and it was/is concerned with solving tasks that are easy for humans but hard for computers. In particular, a so-called Strong AI would be a system that can do anything a human can (perhaps without purely physical things).
This is fairly generic and includes all kinds of tasks such as planning, moving around in the world, recognizing objects and sounds, speaking, translating, performing social or business transactions, creative work (making art or poetry), etc. By leveraging cutting-edge tools and offering mentorship, funding, and recognition, this initiative represents a bold step toward modern, secure, and inclusive data ecosystems. Even though English is our official language, only 10 percent of Indians speak English. Ninety percent speak languages such as Hindi, Marathi, Gujarati, Bengali, Kannada, Telugu, Tamil, to name just a few of the 29 major languages spoken in India.
applications that rely on the understanding of language to function as
Revolutionary solutions may be essential.The Master Class is run for accomplished leaders, interested in reviewing their own skill set and objectives, as well as for those who have been thrust into a leadership role seeking a wider picture. The objective is to enable participants to make a significant step change in leadership performance based on their individual style within the context of their current or future leadership role.Neuro Linguistic Programming was introduced as a tool for personal development 30 years ago. It is continually assessing and developing frameworks for understanding attitudes, it models successful performers and provides techniques for improving thought processes and communications skills. Further master-class seminars in leadership, sales, change management, presenting impact and hypnotic influence can lead to Master Practitioner accreditation.
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The Grand Finale will be held later this year, where the top teams in each category will be awarded prizes of ₹1,00,000 for winners and ₹50,000 for runner-ups, along with potential integration opportunities into India’s official statistical infrastructure. It’s a highly complex task to resolve these kinds of ambiguities and requires lexical resources and tools for the development of disambiguation techniques. Sometime there is ambiguity around certain words, where the same word in a language is pronounced differently by different people at different times and can have different meanings, depending on the context, state of mind and geographical location.
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The program will support AI-based developments in speech recognition, natural language processing for research, development and creation of varieties of new applications. In other words, we have some of our best brains working on solving India’s NLP challenge. These methods don’t attempt to understand the text, but instead convert the text into data, then attempt to learn from patterns in that data.
An alternate approach is therefore to translate the non-English language into English, pass it through the NLP engine built on English, collect the answer, and then translate it back to the non-English language. While this is one approach, it’s a cumbersome process and remains difficult when translating idioms and colloquialisms. € 10 billion, operating in 68 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high-performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries.
The Ministry of Electronics and Information Technology has taken the lead on all these efforts to represent the 22 constitutionally-recognized languages in the Unicode Standard. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space. The European Defence Fund supports companies across Member States develop competitive and collaborative defence projects that will deliver innovative and interoperable defence technologies and equipment. It offers support and advice to participants throughout the entire cycle of research and development. NLP (Natural language processing) is simply the part of AI that has to do with language (usually written).
Unfortunately, the size of data sets available for most Indian languages are small compared to those available for major Western languages. One of the toughest challenges today is the lack of resources about literature and grammar despite millions of native speakers using these languages. Building NLP algorithms without a basic lexical resource is highly challenging. There are rule-based methods which are language-specific but they are error prone.
New services around text-to-speech and speech-to-text would significantly help low income, the visually challenged and differently-abled to become part of the Digital India revolution. As part of the GoogleNext Billion plan, voice search has already launched in eight Indian languages to enable consumers to use their voice for search queries. The word “deep” means that the composition has many of these blocks stacked on top of each other, and the tricky bit is how to adjust the blocks that are far from the output, since a small change there can have very indirect effects on the output. This is done via something called Backpropagation inside of a larger process called Gradient descent which lets you change the parameters in a way that improves your model. It involves a particular kind of mathematical model that can be thought of as a composition of simple blocks (function composition) of a certain type, and where some of these blocks can be adjusted to better predict the final outcome. With the advancement of deep learning, translation services are today much faster and more accurate than before.
- By leveraging cutting-edge tools and offering mentorship, funding, and recognition, this initiative represents a bold step toward modern, secure, and inclusive data ecosystems.
- NLP technology development has grown significantly due to high computing GPU machines, wide internet availability and speeds, and the spread of mobile devices.
- Among the world’s fast-growing economies and one with the second largest population, the Indian market is garnering considerable interest and is on the radar of internet and software companies.
- NitiAyog in its #AIforall program is committed to leverage AI for economic growth and social development.
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The initiative marks a major milestone in the celebration of 75 years of the National Sample Survey (NSS) and is organized under MoSPI’s Data Innovation Lab (DI Lab)—a pioneering unit aimed at incubating technological advancement in India’s statistical systems. Based on a recent survey – how chatbots are reshaping online experience – the benefit of bots that consumers pointed to was the ability to get 24-hour service (64%), followed by getting instant responses to inquiries (55%), and getting answers to simple questions (55%). “The Statathon is not just a competition—it is a gateway for young minds to become co-creators of India’s data future,” said Dr. Garg.