India is soon to publish its first sign language dictionary. Apart from a few clicks on computer keyboards and the routine shuffling of paper, it is very quiet at this office in the capital, Delhi. A group of 15 people here are working on the massive task of compiling more than 7,000 signs that deal with words used in academic, medical, legal, technical and routine conversations by deaf people in India. The group is a mix of speech and hearing impaired, deaf and non-disabled people. However they all communicate with each other in sign language.
The second was the propensity of the computing industry toward more lucrative assignments in the service sector. Both these factors are changing, not least because leading international software companies have set up research and development centers in the country. Computer science education established itself in India in the early 1980s when the Indian Institutes of Technology (IITs) set up computer science departments and started offering undergraduate programs in the discipline. Research in artificial intelligence took off soon afterward when the government of India launched the Knowledge Based Computing Systems (KBCS) program in conjunction with the United Nations Development Program (Saint-Dizier 1991). A number of nodal centers were set up to focus on different areas of research including expert systems (IIT Madras), speech processing (Tata Institue of Fundamental Research), parallel processing (Indian Institute for Science), image processing (Indian Statistical Institute), and natural language processing (Center for Development of Advanced Computing).
Morphological analyzers are the essential milestones for many linguistic applications like; machine translation, word sense disambiguation, spells checkers, and search engines etc. Therefore, development of an effective morphological analyzer has a greater impact on the computational recognition of a language. In this paper, we present a finite state transducer based inflectional morphological analyzer for a resource poor language of India, known as Maithili. Maithili is an eastern Indo-Aryan language spoken in the eastern and northern regions of Bihar in India and the southeastern plains, known as tarai of Nepal. This work can be recognized as the first work towards the computational development of Maithili which may attract researchers around the country to up-rise the language to establish in computational world.
The success of Digital India has set a new global benchmark for leveraging digital technologies for inclusive growth, good governance, and empowerment of common citizens. The benefits of digital technologies that were a luxury of affluent classes a few years ago have now become easily accessible to masses. Rapidly changing technology requires continuous evolution of systems, faster and adequate regulatory responses, and building capacities to meet emerging challenges. The advent of artificial intelligence is not merely an incremental change, but a major paradigm shift in the technology landscape, which must be viewed holistically and harnessed for the wellbeing of humanity. Data is the basic building block for any artificial intelligence system.
India is a multilingual and multicultural country that came together less than a century ago. The artificial intelligence community, which gained in strength in the 1980s, has had a major focus on research directed toward societal goals of bridging the linguistic and educational divide, and delivers the fruits of information technology to all people. In this article we look at a brief history followed by two examples of research aimed at crossing the language barriers. . Artificial intelligence in India has been pursued by a passionate few over the last few decades. It has not been as widespread as in Europe and the USA.