Journal ArticleDOI
Indic language computing
TLDR
India’s Ministry of Human Resource Development (MHRD) wants lectures on Swayam and NPTELb—the online teaching platforms—to be translated into all Indian languages, which will be great enablers for the marginalized sections of society.Abstract:
I M A G E B Y J O A T IN APRIL 2019, following the Easter Sunday bomb attacks, the Government of Sri Lanka had to shut down Facebook and YouTube for nine days to stop the spreading of hate speech and false news, posted mainly in the local languages Sinhala and Tamil. This came about simply because these social media platforms did not have the capability to detect and warn about the provocative content. India’s Ministry of Human Resource Development (MHRD) wants lectures on Swayam and NPTELb—the online teaching platforms—to be translated into all Indian languages. Approximately 2.5 million students use the Swayam lectures on computer science alone. The lectures are in English, which students find difficult to understand. A large number of lectures are manually subtitled in English. Automatic speech recognition and machine translation into Indian languages will be great enablers for the marginalized sections of society. Requirements like these are real and abundant.read more
Citations
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Journal ArticleDOI
ThamizhiMorph: A morphological parser for the Tamil language
TL;DR: In this article, an open source and extendable Morphological Analyser cum Generator (MAG) for Tamil named ThamizhiMorph is presented, which is designed using a Finite State Transducer (FST) and implemented using Foma.
Proceedings ArticleDOI
How low is too low? A monolingual take on lemmatisation in Indian languages
TL;DR: It is shown that monolingual approaches with data augmentation can give competitive accuracy even in the low resource setting, which augurs well for NLP in low resourceSetting.
Journal ArticleDOI
Resources and components for gujarati NLP systems: a survey
Nikita P. Desai,Vipul K. Dabhi +1 more
Proceedings ArticleDOI
Finite-state script normalization and processing utilities: The Nisaba Brahmic library
TL;DR: In this article, the authors present an open-source library for efficient low-level processing of ten major South Asian Brahmic scripts, such as NFC, visual normalization, reversible transliteration, and validity checks, implemented in Python within a finite state transducer formalism.
Journal ArticleDOI
Resources and components for gujarati NLP systems: a survey
Nikita P. Desai,Vipul K. Dabhi +1 more
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