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National Mission for Manuscripts documents over 40 lakh manuscripts so far

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Image source: britishlibrary.typepad.co.uk

New Delhi: Thirteen-year-old government body National Mission for Manuscripts (NMM) has so far documented over 40,82,363 manuscripts. A maximum number of 19,15,374 manuscripts have been unearthed and preserved in the category of “Other” languages and the least number of manuscripts in ‘Urdu’ language at 16, 678.

The NMM was established by the Ministry of Tourism and Culture. Other important languages in which manuscripts have been documented are Sanskrit, Odia, Hindi, Tamil, Malayalam, Kannada, Persian, Bengali among others.

An ambitious project in its programme and mandate, the Mission seeks to unearth and preserve the vast manuscript wealth of India. A total of 11,66, 743; 2,13,088; 1,99,883 manuscripts has been documented by the Mission for the languages Sanskrit, Odia and Hindi respectively.

India possesses an estimate of five million manuscripts, probably the largest collection in the world. These cover a variety of themes, textures and aesthetics, scripts, languages, calligraphies, illuminations and illustrations. Also, 55,436 valuable manuscripts containing the practice of Siddha and Ayurvedic medicines have been documented by the NMM. Together, they constitute the ‘memory’ of India’s history, heritage and thought.

The National Mission for Manuscripts aims to locate, document, preserve and render these to connect India’s past with its future, its memory with its aspirations. One of the prime objectives of releasing data on the website is to help scholars in locating the manuscripts preserved in their respective repositories.

(The article was first published in webindia123.com)

  • Priyesh Maharana

    This shows the classical status of Odia language and is a reply to those people who once said Odia is not a separate language but a dialect of a major language . Recently I got a report anonymously that if all details regarding classical odia language is revealed publicly would make that very major language into a dialect of Odia.

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Researchers Develop New App to Detect Twitter Bots in Any Language

According to the researchers, the app is light, making it possible to classify vast amounts of data quickly and relatively efficiently

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TWitter
The logo for Twitter is displayed above a trading post on the floor of the New York Stock Exchange. vOA

Researchers have developed a new application that uses Machine Learning (ML) to detect Twitter bots in any language.

The study presented at the fourth conference of Digital Humanities in the Nordic Countries shows that the application is able to detect auto-generated tweets independent of the language used.

“This enhances the quality of data and paints a more accurate picture of the reality,” said Mikko Laitinen, Professor at the University of Eastern Finland.

In recent years, big data from various social media applications have turned the web into a user-generated repository of information in the ever-increasing number of areas, said the researchers.

Twitter has become a popular source of data for investigations of a number of phenomena Because of the relatively easy access to tweets and their meta-data.

donald trump
FILE – A man reads tweets on his phone in front of a displayed Twitter logo. VOA

Twitter Bots are non-personal and automated accounts that post content to online social networks.

It has been estimated that around 5 to 10 per cent of all users are bots and these accounts generate about 20-25 per cent of all tweets posted.

For the study, the researchers analysed 15,000 tweets in Finnish, Swedish and English. Finnish and Swedish were mainly used for training, whereas tweets in English were used to evaluate the language independence of the application.

Also Read- Google Announces an Investment of $600 mn to Expand US Data Centre

According to the researchers, the app is light, making it possible to classify vast amounts of data quickly and relatively efficiently.

“Bots are relatively harmless, whereas trolls do harm as they spread fake news and come up with made-up stories. This is why there’s a need for increasingly advanced tools for social media monitoring”, said Laitinen. (IANS)