Abstract:
Since 1991, machine translation has been a prominent research area in India, with IIT Kanpur pioneering the original work
which has since been expanded to several universities. Only 10 percent of India’s 1.3 billion inhabitants can read, write and speak, English
with varying degrees of competence, which makes machine translation crucial in overcoming the linguistic barrier. The Indian market for
commercial products and events is greatly influenced by local languages, making the development and translation of region-based content
an essential research topic nowadays. Several government-sponsored projects are being undertaken in this regard. However, there are
limited sentence-aligned parallel bi-text resources available for the majority of Indian language pairs. This paper presents a detailed survey
of the current trends of research on machine translation between Indian languages, along with their challenges over time. It also presents
a timeline of recent research conducted and the key findings of past surveys conducted over a decade. Under a single canopy, this paper
provides sources of data, the progress made in developing datasets for low-resource Indian languages and finally, new research directions.
