Wikipedia is the most widely used resource for Encyclopaedic Knowledge, Education and as an E-Literacy platform on the Web. It is a free, online encyclopaedia with approximately 7 million articles only in English. India is in second place with 117 million views per day behind the USA with 189 million views as of January 2019.
90% of the people in India who can read in only their native language or Hindi are not able to benefit from this amazing resource.
Thus by looking at the above details we understand that the 117 million views are from the 10% of the literate population who know English and we are abandoning about 90% of the population, who would greatly benefit by having access to the knowledge of a comprehensive encyclopedia in their own mother tongue. For example – in Japan, 90% use Japanese Wikipedia but only 5% of Japan’s population uses the English language version.
The IndicWiki project by IIIT Hyderabad started with the goal of enhancing the Indian language Wikipedias and has started working on Telugu and Hindi Wikipedias in the first phase.
The goal of the program
Creating intelligent programs for generating Telugu content using Artificial Intelligence, Machine Learning, Natural Language toolkits and openly available structured data sources in a specific domain like movies, actors, cities, scientists, companies, hospitals, universities/colleges, etc.
This auto generated content will be curated by the human experts to produce a preliminary version of the Wikipedia article.
Who can apply
Computer Science Engineering UG 3rd and 4th year students, MTech and MS students.
1. The students applying need to be proficient in Telugu and English languages (writing and reading skills are a must)
2. Python programming skills
3. Data interpretation skills
The students will be required to take an online screening test that will assess their Python programming skills, English and Telugu languages proficiency and Data interpretation aptitude.
Duration of program is 2 months ( +1 month grace period) and commences in May 2021. We are looking for around 50 interns to work on 25 domains with two interns working on one domain. Selected candidates are on-boarded within 1 week of on-campus bootcamp training followed by an internship.